Erika L. Pearce

37.2k total citations · 20 hit papers
83 papers, 23.1k citations indexed

About

Erika L. Pearce is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Erika L. Pearce has authored 83 papers receiving a total of 23.1k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Immunology, 33 papers in Molecular Biology and 11 papers in Oncology. Recurrent topics in Erika L. Pearce's work include Immune Cell Function and Interaction (43 papers), T-cell and B-cell Immunology (23 papers) and Immune cells in cancer (21 papers). Erika L. Pearce is often cited by papers focused on Immune Cell Function and Interaction (43 papers), T-cell and B-cell Immunology (23 papers) and Immune cells in cancer (21 papers). Erika L. Pearce collaborates with scholars based in United States, Germany and Canada. Erika L. Pearce's co-authors include Edward J. Pearce, Chih‐Hao Chang, Gerritje J. W. van der Windt, David O’Sullivan, Michael D. Buck, Russell G. Jones, Jonathan D. Curtis, Bart Everts, Stanley Ching‐Cheng Huang and Jing Qiu and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Erika L. Pearce

80 papers receiving 23.0k citations

Hit Papers

Metabolic Competition in the Tumor Microe... 2003 2026 2010 2018 2015 2013 2013 2009 2011 500 1000 1.5k 2.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Metabolic Competition in the Tumor Microenvironment Is a Driver of Cancer Progression
    2015 2.3k citations Chih‐Hao Chang, Jing Qiu et al. Cell profile →
  2. Posttranscriptional Control of T Cell Effector Function by Aerobic Glycolysis
    2013 1.6k citations Chih‐Hao Chang, Jonathan D. Curtis et al. Cell profile →
  3. Metabolic Pathways in Immune Cell Activation and Quiescence
    2013 1.2k citations Erika L. Pearce, Edward J. Pearce Immunity profile →
  4. Enhancing CD8 T-cell memory by modulating fatty acid metabolism
    2009 1.2k citations Erika L. Pearce, Matthew C. Walsh et al. profile →
  5. Mitochondrial Respiratory Capacity Is a Critical Regulator of CD8+ T Cell Memory Development
    2011 1.1k citations Gerritje J. W. van der Windt, Bart Everts et al. Immunity profile →
  6. Mitochondrial Dynamics Controls T Cell Fate through Metabolic Programming
    2016 1.0k citations Michael D. Buck, David O’Sullivan et al. Cell profile →
  7. Fueling Immunity: Insights into Metabolism and Lymphocyte Function
    2013 1.0k citations Erika L. Pearce, Chih‐Hao Chang et al. Science profile →
  8. Cell-intrinsic lysosomal lipolysis is essential for alternative activation of macrophages
    2014 897 citations Stanley Ching‐Cheng Huang, Bart Everts et al. Nature Immunology profile →
  9. T cell metabolism drives immunity
    2015 867 citations Michael D. Buck, David O’Sullivan et al. The Journal of Experimental Medicine profile →
  10. TLR-driven early glycolytic reprogramming via the kinases TBK1-IKKɛ supports the anabolic demands of dendritic cell activation
    2014 841 citations Bart Everts, Eyal Amiel et al. Nature Immunology profile →
  11. Metabolic Instruction of Immunity
    2017 810 citations Michael D. Buck, Erika L. Pearce et al. Cell profile →
  12. Control of Effector CD8 + T Cell Function by the Transcription Factor Eomesodermin
    2003 774 citations Erika L. Pearce, Alan C. Mullen et al. Science profile →
  13. Memory CD8+ T Cells Use Cell-Intrinsic Lipolysis to Support the Metabolic Programming Necessary for Development
    2014 611 citations David O’Sullivan, Gerritje J. W. van der Windt et al. Immunity profile →
  14. Unraveling the Complex Interplay Between T Cell Metabolism and Function
    2018 556 citations Ramon I. Klein Geltink, Erika L. Pearce et al. profile →
  15. The Colonic Crypt Protects Stem Cells from Microbiota-Derived Metabolites
    2016 534 citations Edward J. Pearce, Erika L. Pearce et al. Cell profile →
  16. The Energy Sensor AMPK Regulates T Cell Metabolic Adaptation and Effector Responses In Vivo
    2015 501 citations Gerritje J. W. van der Windt, Erika L. Pearce et al. Immunity profile →
  17. Metabolic Reprogramming Mediated by the mTORC2-IRF4 Signaling Axis Is Essential for Macrophage Alternative Activation
    2016 495 citations Stanley Ching‐Cheng Huang, Amber M. Smith et al. Immunity profile →
  18. Amino Assets: How Amino Acids Support Immunity
    2020 412 citations Erika L. Pearce et al. profile →
  19. Mitochondrial Integrity Regulated by Lipid Metabolism Is a Cell-Intrinsic Checkpoint for Treg Suppressive Function
    2019 301 citations David E. Sanin, Joy Edwards-Hicks et al. profile →
  20. Lactic acid and lactate: revisiting the physiological roles in the tumor microenvironment
    2022 187 citations Petya Apostolova, Erika L. Pearce profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Erika L. Pearce United States 47 14.2k 8.5k 4.9k 4.4k 2.8k 83 23.1k
Manolis Pasparakis Germany 84 12.3k 0.9× 13.4k 1.6× 4.3k 0.9× 5.8k 1.3× 3.3k 1.2× 193 26.6k
Akihiko Yoshimura Japan 82 11.3k 0.8× 10.6k 1.2× 7.0k 1.4× 3.1k 0.7× 2.8k 1.0× 349 27.4k
Jeffrey C. Rathmell United States 83 13.0k 0.9× 11.1k 1.3× 5.6k 1.1× 6.5k 1.5× 2.5k 0.9× 202 25.8k
Russell G. Jones Canada 57 8.1k 0.6× 11.2k 1.3× 3.8k 0.8× 5.6k 1.3× 2.3k 0.8× 112 20.4k
Jacques J. Peschon United States 63 11.5k 0.8× 9.1k 1.1× 5.9k 1.2× 3.2k 0.7× 2.3k 0.8× 94 24.8k
Pamela S. Ohashi Canada 93 23.0k 1.6× 10.1k 1.2× 7.2k 1.5× 3.8k 0.9× 2.2k 0.8× 317 33.6k
Gioacchino Natoli Italy 65 9.7k 0.7× 10.9k 1.3× 2.8k 0.6× 5.0k 1.2× 2.2k 0.8× 140 20.7k
Luc Van Kaer United States 88 17.9k 1.3× 6.2k 0.7× 5.1k 1.0× 1.8k 0.4× 2.9k 1.0× 368 26.4k
Hongbo Chi United States 65 10.1k 0.7× 7.0k 0.8× 3.2k 0.6× 2.5k 0.6× 1.6k 0.6× 163 16.8k
Michael J. Lenardo United States 89 17.6k 1.2× 14.9k 1.8× 6.5k 1.3× 5.1k 1.2× 5.2k 1.9× 244 34.1k

Countries citing papers authored by Erika L. Pearce

Since Specialization
Citations

This map shows the geographic impact of Erika L. Pearce's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Erika L. Pearce with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erika L. Pearce more than expected).

Fields of papers citing papers by Erika L. Pearce

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Erika L. Pearce. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Erika L. Pearce. The network helps show where Erika L. Pearce may publish in the future.

Co-authorship network of co-authors of Erika L. Pearce

This figure shows the co-authorship network connecting the top 25 collaborators of Erika L. Pearce. A scholar is included among the top collaborators of Erika L. Pearce based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Erika L. Pearce. Erika L. Pearce is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Koleini, Navid, Mohammad Keykhaei, Ting Liu, et al.. (2025). ATP-Citrate Lyase Supports Cardiac Function and NAD+/NADH Balance and Is Depressed in Human Failing Myocardium. JACC Basic to Translational Science. 10(7). 101301–101301.
2.
Leeming, Michael G., Petya Apostolova, Andrew Marple, et al.. (2024). Activation of Cell-Intrinsic Signaling in CAR-T Cells via a Chimeric IL7R Domain. Cancer Research Communications. 4(9). 2359–2373. 2 indexed citations
3.
Mennuni, Mara, David Alsina, Roberta Filograna, et al.. (2024). High mitochondrial DNA levels accelerate lung adenocarcinoma progression. Science Advances. 10(44). eadp3481–eadp3481. 7 indexed citations
4.
Kabat, Agnieszka M., Erika L. Pearce, & Edward J. Pearce. (2023). Metabolism in type 2 immune responses. Immunity. 56(4). 723–741. 16 indexed citations
5.
Sanin, David E., Yan Ge, Emilija Marinković, et al.. (2022). A common framework of monocyte-derived macrophage activation. Science Immunology. 7(70). eabl7482–eabl7482. 86 indexed citations
6.
Grzes, Katarzyna M., Nir Yogev, Erika L. Pearce, et al.. (2021). Tofacitinib Suppresses IL-10/IL-10R Signaling and Modulates Host Defense Responses in Human Macrophages. Journal of Investigative Dermatology. 142(3). 559–570.e6. 8 indexed citations
7.
Ramamoorthy, Senthilkumar, Kohei Kometani, Josip S. Herman, et al.. (2020). EBF1 and Pax5 safeguard leukemic transformation by limiting IL-7 signaling, Myc expression, and folate metabolism. Genes & Development. 34(21-22). 1503–1519. 22 indexed citations
8.
Pearce, Edward J. & Erika L. Pearce. (2017). Driving immunity: all roads lead to metabolism. Nature reviews. Immunology. 18(2). 81–82. 55 indexed citations
9.
Buck, Michael D., David O’Sullivan, Ramon I. Klein Geltink, et al.. (2016). Mitochondrial Dynamics Controls T Cell Fate through Metabolic Programming. Cell. 166(1). 63–76. 1041 indexed citations breakdown →
10.
Wu, Duojiao, David E. Sanin, Bart Everts, et al.. (2016). Type 1 Interferons Induce Changes in Core Metabolism that Are Critical for Immune Function. Immunity. 44(6). 1325–1336. 254 indexed citations
11.
Buck, Michael D., David O’Sullivan, & Erika L. Pearce. (2015). T cell metabolism drives immunity. The Journal of Experimental Medicine. 212(9). 1345–1360. 867 indexed citations breakdown →
12.
O’Sullivan, David, Gerritje J. W. van der Windt, Stanley Ching‐Cheng Huang, et al.. (2014). Memory CD8+ T Cells Use Cell-Intrinsic Lipolysis to Support the Metabolic Programming Necessary for Development. Immunity. 41(1). 75–88. 611 indexed citations breakdown →
13.
Xu, Xiaojin, Koichi Araki, Shuzhao Li, et al.. (2014). Autophagy is essential for effector CD8+ T cell survival and memory formation. Nature Immunology. 15(12). 1152–1161. 337 indexed citations
14.
Huang, Stanley Ching‐Cheng, Tori C. Freitas, Eyal Amiel, et al.. (2012). Fatty Acid Oxidation Is Essential for Egg Production by the Parasitic Flatworm Schistosoma mansoni. PLoS Pathogens. 8(10). e1002996–e1002996. 43 indexed citations
15.
Everts, Bart, et al.. (2011). Cytokines establish T cell memory by regulating mitochondrial metabolism (46.7). The Journal of Immunology. 186(1_Supplement). 46.7–46.7. 1 indexed citations
16.
Pearce, Erika L.. (2010). Metabolism in T cell activation and differentiation. Current Opinion in Immunology. 22(3). 314–320. 236 indexed citations
17.
Cejas, Pedro J., et al.. (2009). TRAF6 is an Intrinsic Negative Regulator of Th17 Differentiation (47.32). The Journal of Immunology. 182(Supplement_1). 47.32–47.32. 1 indexed citations
18.
Pearce, Erika L. & Hao Shen. (2007). Generation of CD8 T Cell Memory Is Regulated by IL-12. The Journal of Immunology. 179(4). 2074–2081. 192 indexed citations
19.
Pearce, Erika L. & Hao Shen. (2006). Making sense of inflammation, epigenetics, and memory CD8+ T‐cell differentiation in the context of infection. Immunological Reviews. 211(1). 197–202. 39 indexed citations
20.
Pearce, Erika L., Alan C. Mullen, Gislâine A. Martins, et al.. (2003). Control of Effector CD8 + T Cell Function by the Transcription Factor Eomesodermin. Science. 302(5647). 1041–1043. 774 indexed citations breakdown →

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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