Heather Maecker

7.9k total citations · 2 hit papers
18 papers, 3.0k citations indexed

About

Heather Maecker is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Heather Maecker has authored 18 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 9 papers in Molecular Biology and 6 papers in Immunology. Recurrent topics in Heather Maecker's work include Cancer Immunotherapy and Biomarkers (5 papers), Cell death mechanisms and regulation (4 papers) and Cancer-related Molecular Pathways (4 papers). Heather Maecker is often cited by papers focused on Cancer Immunotherapy and Biomarkers (5 papers), Cell death mechanisms and regulation (4 papers) and Cancer-related Molecular Pathways (4 papers). Heather Maecker collaborates with scholars based in United States, France and Australia. Heather Maecker's co-authors include Amato J. Giaccia, Zhong Yun, Randall S. Johnson, Eugene Varfolomeev, Jinfeng Liu, Vishva M. Dixit, Dorothy French, Domagoj Vucic, David A. Lawrence and Avi Ashkenazi and has published in prestigious journals such as Nature, Cell and Journal of Biological Chemistry.

In The Last Decade

Heather Maecker

18 papers receiving 2.9k citations

Hit Papers

MAP Kinase Inhibition Promotes T Cell and Anti-tumo... 2009 2026 2014 2020 2016 2009 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Heather Maecker United States 14 1.7k 1.2k 852 587 244 18 3.0k
N. Shaun B. Thomas United Kingdom 30 1.9k 1.1× 735 0.6× 778 0.9× 307 0.5× 198 0.8× 56 3.1k
Jean‐Jacques Lebrun Canada 32 2.2k 1.3× 1.4k 1.1× 511 0.6× 518 0.9× 260 1.1× 68 3.6k
Ichiro Nakano United States 28 1.9k 1.1× 798 0.7× 504 0.6× 738 1.3× 176 0.7× 34 2.8k
Johan Lennartsson Sweden 31 1.8k 1.0× 715 0.6× 880 1.0× 321 0.5× 128 0.5× 76 3.5k
Naoto Tsuchiya Japan 31 2.6k 1.5× 787 0.6× 803 0.9× 1.7k 2.9× 154 0.6× 72 3.7k
Eldad Zacksenhaus Canada 30 2.2k 1.3× 1.5k 1.2× 287 0.3× 718 1.2× 155 0.6× 105 3.3k
Naohiko Ikegaki United States 35 2.6k 1.5× 765 0.6× 343 0.4× 854 1.5× 279 1.1× 91 3.8k
David J. Izon Australia 25 2.1k 1.2× 598 0.5× 1.5k 1.7× 313 0.5× 187 0.8× 49 3.7k
Amanda Littlewood‐Evans Switzerland 24 1.4k 0.8× 407 0.3× 583 0.7× 294 0.5× 183 0.8× 30 2.4k
Rónán C. O’Hagan United States 18 2.2k 1.3× 1.1k 0.9× 322 0.4× 458 0.8× 190 0.8× 30 3.1k

Countries citing papers authored by Heather Maecker

Since Specialization
Citations

This map shows the geographic impact of Heather Maecker'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 Heather Maecker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heather Maecker more than expected).

Fields of papers citing papers by Heather Maecker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Heather Maecker. 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 Heather Maecker. The network helps show where Heather Maecker may publish in the future.

Co-authorship network of co-authors of Heather Maecker

This figure shows the co-authorship network connecting the top 25 collaborators of Heather Maecker. A scholar is included among the top collaborators of Heather Maecker 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 Heather Maecker. Heather Maecker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Maecker, Heather, et al.. (2023). Exploration of the antibody–drug conjugate clinical landscape. mAbs. 15(1). 2229101–2229101. 80 indexed citations
2.
Ebert, Peter, Jeanne Cheung, Yagai Yang, et al.. (2016). MAP Kinase Inhibition Promotes T Cell and Anti-tumor Activity in Combination with PD-L1 Checkpoint Blockade. Immunity. 44(3). 609–621. 527 indexed citations breakdown →
3.
Ali, Khaled, Dalya R. Soond, Roberto Piñeiro, et al.. (2014). Inactivation of PI(3)K p110δ breaks regulatory T-cell-mediated immune tolerance to cancer. Nature. 510(7505). 407–411. 397 indexed citations
4.
Gargosky, Sharron, Sheena Gupta, & Heather Maecker. (2013). Qualification of an intracellular cytokine staining (ICS) assay to evaluate mucin 1-specific T cell responses in ovarian cancer patients treated with CVAC immunotherapy. Cytotherapy. 15(4). S48–S48. 1 indexed citations
5.
Irving, Bryan, Jeanne Cheung, Yagai Yang, et al.. (2013). MAP kinase inhibitors stimulate T cell and anti-tumor activity in combination with blockade of the PD-L1/PD-1 interaction. Journal for ImmunoTherapy of Cancer. 1(S1). 1 indexed citations
6.
Varfolomeev, Eugene, Tatiana Goncharov, Heather Maecker, et al.. (2012). Cellular Inhibitors of Apoptosis Are Global Regulators of NF-κB and MAPK Activation by Members of the TNF Family of Receptors. Science Signaling. 5(216). ra22–ra22. 161 indexed citations
7.
Irving, Bryan, et al.. (2012). 409 Optimizing the Therapeutic Potential of PD-L1 Blockade as a Single Agent and Through Combination Therapy. European Journal of Cancer. 48. 124–124. 2 indexed citations
8.
Chen, Jun, Sha Jin, Xiaoli Huang, et al.. (2011). The Bcl-2/Bcl-XL/Bcl-w Inhibitor, Navitoclax, Enhances the Activity of Chemotherapeutic Agents In Vitro and In Vivo. Molecular Cancer Therapeutics. 10(12). 2340–2349. 119 indexed citations
9.
Williams, Samuel A., Heather Maecker, Dorothy French, et al.. (2011). USP1 Deubiquitinates ID Proteins to Preserve a Mesenchymal Stem Cell Program in Osteosarcoma. Cell. 146(6). 918–930. 211 indexed citations
10.
Munugalavadla, Veerendra, Leanne Berry, Jae H. Chang, et al.. (2011). A Critical Role for PIM2 Kinase in Multiple Myeloma Through NF-κB Activation. Blood. 118(21). 1839–1839. 1 indexed citations
11.
Schwickart, Martin, Xiaodong Huang, Jennie R. Lill, et al.. (2009). Deubiquitinase USP9X stabilizes MCL1 and promotes tumour cell survival. Nature. 463(7277). 103–107. 510 indexed citations breakdown →
12.
Varfolomeev, Eugene, Heather Maecker, David A. Lawrence, et al.. (2005). Molecular Determinants of Kinase Pathway Activation by Apo2 Ligand/Tumor Necrosis Factor-related Apoptosis-inducing Ligand. Journal of Biological Chemistry. 280(49). 40599–40608. 221 indexed citations
13.
Maecker, Heather, Eugene Varfolomeev, Frank Kischkel, et al.. (2005). TWEAK Attenuates the Transition from Innate to Adaptive Immunity. Cell. 123(5). 931–944. 202 indexed citations
14.
Yun, Zhong, Heather Maecker, Randall S. Johnson, & Amato J. Giaccia. (2002). Inhibition of PPARγ2 Gene Expression by the HIF-1-Regulated Gene DEC1/Stra13. Developmental Cell. 2(3). 331–341. 393 indexed citations
15.
Maecker, Heather, Constantinos Koumenis, & Amato J. Giaccia. (2000). p53 promotes selection for Fas-mediated apoptotic resistance.. PubMed. 60(16). 4638–44. 53 indexed citations
16.
Maecker, Heather, et al.. (1997). Astressin, a novel and potent CRF antagonist, is neuroprotective in the hippocampus when administered after a seizure. Brain Research. 744(1). 166–170. 52 indexed citations
17.
Huey, Edward D., Heather Maecker, Sarah A. Howard, et al.. (1996). Endocrine Modulators of Necrotic Neuron Death. Brain Pathology. 6(4). 481–491. 34 indexed citations
18.
Maecker, Heather. (1993). Perinatal cocaine exposure inhibits the development of the male SDN. Developmental Brain Research. 76(2). 288–292. 14 indexed citations

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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