Eli R. Zunder

6.7k total citations · 2 hit papers
30 papers, 4.3k citations indexed

About

Eli R. Zunder is a scholar working on Molecular Biology, Immunology and Biophysics. According to data from OpenAlex, Eli R. Zunder has authored 30 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 9 papers in Immunology and 5 papers in Biophysics. Recurrent topics in Eli R. Zunder's work include Single-cell and spatial transcriptomics (13 papers), Immune cells in cancer (5 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). Eli R. Zunder is often cited by papers focused on Single-cell and spatial transcriptomics (13 papers), Immune cells in cancer (5 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). Eli R. Zunder collaborates with scholars based in United States, Sweden and Netherlands. Eli R. Zunder's co-authors include Garry P. Nolan, Rachel Finck, Sean C. Bendall, Erin F. Simonds, Dana Pe’er, El-ad David Amir, Kevan M. Shokat, Zachary A. Knight, Ina Radtke and Amanda Larson Gedman and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Eli R. Zunder

27 papers receiving 4.2k citations

Hit Papers

Data-Driven Phenotypic Dissection of AML Reveal... 2006 2026 2012 2019 2015 2006 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eli R. Zunder United States 16 3.0k 1.2k 630 619 356 30 4.3k
Wendy J. Fantl United States 38 4.7k 1.6× 1.8k 1.5× 470 0.7× 1.1k 1.7× 513 1.4× 68 7.2k
Jacob Levine United States 10 2.4k 0.8× 2.1k 1.7× 565 0.9× 1.8k 2.8× 539 1.5× 11 4.9k
Robert V. Bruggner United States 11 2.4k 0.8× 1.1k 0.9× 733 1.2× 412 0.7× 244 0.7× 15 3.5k
Joshua Gould United States 12 2.7k 0.9× 601 0.5× 243 0.4× 1.2k 1.9× 810 2.3× 17 4.1k
Li V. Yang United States 32 2.3k 0.8× 866 0.7× 175 0.3× 624 1.0× 582 1.6× 91 4.2k
Lukas M. Simon United States 18 2.3k 0.8× 529 0.4× 337 0.5× 303 0.5× 640 1.8× 47 3.4k
Marie‐Christine Guiot Canada 32 1.4k 0.5× 585 0.5× 905 1.4× 459 0.7× 451 1.3× 100 4.3k
Kai Tan United States 36 2.8k 0.9× 686 0.6× 125 0.2× 360 0.6× 389 1.1× 98 3.9k
Martin Enge Sweden 22 5.2k 1.7× 568 0.5× 159 0.3× 1.0k 1.6× 989 2.8× 32 7.0k
Malin Jarvius Sweden 20 2.6k 0.9× 392 0.3× 122 0.2× 606 1.0× 293 0.8× 38 3.7k

Countries citing papers authored by Eli R. Zunder

Since Specialization
Citations

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

Fields of papers citing papers by Eli R. Zunder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eli R. Zunder. 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 Eli R. Zunder. The network helps show where Eli R. Zunder may publish in the future.

Co-authorship network of co-authors of Eli R. Zunder

This figure shows the co-authorship network connecting the top 25 collaborators of Eli R. Zunder. A scholar is included among the top collaborators of Eli R. Zunder 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 Eli R. Zunder. Eli R. Zunder 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
2.
Karnewar, Santosh, Rebecca A. Deaton, Laura S. Shankman, et al.. (2024). IL-1β Inhibition Partially Negates the Beneficial Effects of Diet-Induced Atherosclerosis Regression in Mice. Arteriosclerosis Thrombosis and Vascular Biology. 44(6). 1379–1392. 5 indexed citations
3.
Zunder, Eli R., et al.. (2024). Direct comparison of mass cytometry and single-cell RNA sequencing of human peripheral blood mononuclear cells. Scientific Data. 11(1). 559–559. 7 indexed citations
4.
Deusen, Amy Van, et al.. (2024). A single-cell mass cytometry-based atlas of the developing mouse brain. Nature Neuroscience. 28(1). 174–188. 3 indexed citations
5.
Zimyanin, Vitaly, Hannes Glaß, Julia Japtok, et al.. (2023). Live Cell Imaging of ATP Levels Reveals Metabolic Compartmentalization within Motoneurons and Early Metabolic Changes in FUS ALS Motoneurons. Cells. 12(10). 1352–1352. 3 indexed citations
6.
Chen, Xizhao, Michael D. Solga, Peter I. Lobo, et al.. (2023). BMP-6 promotes type 2 immune response during enhancement of rat mandibular bone defect healing. Frontiers in Immunology. 14. 1064238–1064238. 4 indexed citations
7.
Deusen, Amy Van, et al.. (2023). Sexual dimorphism in the dorsal root ganglia of neonatal mice identified by protein expression profiling with single-cell mass cytometry. Molecular and Cellular Neuroscience. 126. 103866–103866.
8.
Deusen, Amy Van, et al.. (2022). A developmental atlas of somatosensory diversification and maturation in the dorsal root ganglia by single-cell mass cytometry. Nature Neuroscience. 25(11). 1543–1558. 13 indexed citations
9.
Madhu, Vedavathi, et al.. (2021). Current evidence on potential of adipose derived stem cells to enhance bone regeneration and future projection. World Journal of Stem Cells. 13(9). 1248–1277. 21 indexed citations
10.
Ko, Melissa E., et al.. (2020). FLOW-MAP: a graph-based, force-directed layout algorithm for trajectory mapping in single-cell time course datasets. Nature Protocols. 15(2). 398–420. 15 indexed citations
11.
Alencar, Gabriel F., Katherine Owsiany, Santosh Karnewar, et al.. (2020). Stem Cell Pluripotency Genes Klf4 and Oct4 Regulate Complex SMC Phenotypic Changes Critical in Late-Stage Atherosclerotic Lesion Pathogenesis. Circulation. 142(21). 2045–2059. 234 indexed citations
12.
Balogh, Péter, Emmalee R. Adelman, John V. Pluvinage, et al.. (2019). RUNX3 levels in human hematopoietic progenitors are regulated by aging and dictate erythroid-myeloid balance. Haematologica. 105(4). 905–913. 12 indexed citations
13.
Lammert, Catherine R., Elizabeth L. Frost, Ashley C. Bolte, et al.. (2018). Cutting Edge: Critical Roles for Microbiota-Mediated Regulation of the Immune System in a Prenatal Immune Activation Model of Autism. The Journal of Immunology. 201(3). 845–850. 87 indexed citations
14.
Frei, Andreas P., Felice-Alessio Bava, Eli R. Zunder, et al.. (2016). Highly multiplexed simultaneous detection of RNAs and proteins in single cells. Nature Methods. 13(3). 269–275. 260 indexed citations
15.
Levine, Jacob, Erin F. Simonds, Sean C. Bendall, et al.. (2015). Data-Driven Phenotypic Dissection of AML Reveals Progenitor-like Cells that Correlate with Prognosis. Cell. 162(1). 184–197. 1279 indexed citations breakdown →
16.
Lujan, Ernesto, Eli R. Zunder, Yi Han Ng, et al.. (2015). Early reprogramming regulators identified by prospective isolation and mass cytometry. Nature. 521(7552). 352–356. 70 indexed citations
17.
Zunder, Eli R., Rachel Finck, Gregory K. Behbehani, et al.. (2015). Palladium-based mass tag cell barcoding with a doublet-filtering scheme and single-cell deconvolution algorithm. Nature Protocols. 10(2). 316–333. 358 indexed citations
18.
Zunder, Eli R., Ernesto Lujan, Yury Goltsev, Marius Wernig, & Garry P. Nolan. (2015). A Continuous Molecular Roadmap to iPSC Reprogramming through Progression Analysis of Single-Cell Mass Cytometry. Cell stem cell. 16(3). 323–337. 141 indexed citations
19.
Zunder, Eli R., Zachary A. Knight, Benjamin T. Houseman, Beth Apsel, & Kevan M. Shokat. (2008). Discovery of Drug-Resistant and Drug-Sensitizing Mutations in the Oncogenic PI3K Isoform p110α. Cancer Cell. 14(2). 180–192. 76 indexed citations
20.
Knight, Zachary A., Beatriz González, Eli R. Zunder, et al.. (2006). A Pharmacological Map of the PI3-K Family Defines a Role for p110α in Insulin Signaling. Cell. 125(4). 733–747. 940 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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