Jacob Levine

9.2k total citations · 5 hit papers
11 papers, 4.9k citations indexed

About

Jacob Levine is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Jacob Levine has authored 11 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 5 papers in Molecular Biology and 5 papers in Oncology. Recurrent topics in Jacob Levine's work include Single-cell and spatial transcriptomics (4 papers), Cancer Immunotherapy and Biomarkers (4 papers) and Immune cells in cancer (3 papers). Jacob Levine is often cited by papers focused on Single-cell and spatial transcriptomics (4 papers), Cancer Immunotherapy and Biomarkers (4 papers) and Immune cells in cancer (3 papers). Jacob Levine collaborates with scholars based in United States, Switzerland and Australia. Jacob Levine's co-authors include Dana Pe’er, Garry P. Nolan, El-ad David Amir, Michelle D. Tadmor, Kara L. Davis, Erin F. Simonds, Sean C. Bendall, Spencer C. Wei, James P. Allison and Nana-Ama A.S. Anang and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Neuron.

In The Last Decade

Jacob Levine

11 papers receiving 4.9k citations

Hit Papers

Data-Driven Phenotypic Dissection of AML Reveals Progenit... 2013 2026 2017 2021 2015 2013 2017 2017 2019 400 800 1.2k
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. Data-Driven Phenotypic Dissection of AML Reveals Progenitor-like Cells that Correlate with Prognosis
    2015 1.3k citations Jacob Levine, Erin F. Simonds et al. Cell profile →
  2. viSNE enables visualization of high dimensional single-cell data and reveals phenotypic heterogeneity of leukemia
    2013 1.1k citations El-ad David Amir, Kara L. Davis et al. Nature Biotechnology profile →
  3. Distinct Cellular Mechanisms Underlie Anti-CTLA-4 and Anti-PD-1 Checkpoint Blockade
    2017 928 citations Spencer C. Wei, Jacob Levine et al. Cell profile →
  4. An Immune Atlas of Clear Cell Renal Cell Carcinoma
    2017 694 citations Stéphane Chevrier, Jacob Levine et al. Cell profile →
  5. Characterization of cell fate probabilities in single-cell data with Palantir
    2019 351 citations Manu Setty, Vaidotas Kiseliovas et al. Nature Biotechnology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jacob Levine United States 10 2.4k 2.1k 1.8k 565 539 11 4.9k
Kara L. Davis United States 21 2.6k 1.1× 1.4k 0.7× 1.0k 0.6× 748 1.3× 431 0.8× 74 4.4k
Roser Vento‐Tormo United Kingdom 20 3.1k 1.3× 1.7k 0.8× 819 0.5× 343 0.6× 792 1.5× 35 4.6k
Jean Fan United States 19 4.7k 1.9× 1.7k 0.8× 1.3k 0.7× 480 0.8× 1.2k 2.3× 73 7.0k
Ilya Korsunsky United States 12 3.1k 1.3× 1.7k 0.8× 747 0.4× 307 0.5× 749 1.4× 19 4.9k
Suoqin Jin China 17 3.0k 1.2× 1.8k 0.9× 1.0k 0.6× 255 0.5× 769 1.4× 34 5.4k
Eli R. Zunder United States 16 3.0k 1.2× 1.2k 0.6× 619 0.4× 630 1.1× 356 0.7× 30 4.3k
Niels Halama Germany 32 1.1k 0.5× 2.1k 1.0× 3.1k 1.8× 195 0.3× 756 1.4× 114 5.7k
Joshua Gould United States 12 2.7k 1.1× 601 0.3× 1.2k 0.7× 243 0.4× 810 1.5× 17 4.1k
Wouter Saelens Belgium 14 2.8k 1.2× 1.5k 0.7× 503 0.3× 423 0.7× 589 1.1× 20 4.2k
Rachel Finck United States 12 3.6k 1.5× 1.8k 0.9× 920 0.5× 1.2k 2.1× 515 1.0× 14 5.6k

Countries citing papers authored by Jacob Levine

Since Specialization
Citations

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

Fields of papers citing papers by Jacob Levine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacob Levine

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

All Works

11 of 11 papers shown
1.
Wei, Spencer C., Roshan Sharma, Nana-Ama A.S. Anang, et al.. (2019). Negative Co-stimulation Constrains T Cell Differentiation by Imposing Boundaries on Possible Cell States. Immunity. 50(4). 1084–1098.e10. 68 indexed citations
2.
Setty, Manu, Vaidotas Kiseliovas, Jacob Levine, et al.. (2019). Characterization of cell fate probabilities in single-cell data with Palantir. Nature Biotechnology. 37(4). 451–460. 351 indexed citations breakdown →
3.
Wei, Spencer C., Nana-Ama A.S. Anang, Roshan Sharma, et al.. (2019). Combination anti–CTLA-4 plus anti–PD-1 checkpoint blockade utilizes cellular mechanisms partially distinct from monotherapies. Proceedings of the National Academy of Sciences. 116(45). 22699–22709. 226 indexed citations
4.
Calderon‐Margalit, Ronit, Dena H. Jaffe, Jacob Levine, et al.. (2018). Trends in the performance of quality indicators for diabetes care in the community and in diabetes-related health status: an Israeli ecological study. Israel Journal of Health Policy Research. 7(1). 10–10. 14 indexed citations
5.
Chevrier, Stéphane, Jacob Levine, Vito Riccardo Tomaso Zanotelli, et al.. (2017). An Immune Atlas of Clear Cell Renal Cell Carcinoma. Cell. 169(4). 736–749.e18. 694 indexed citations breakdown →
6.
Wei, Spencer C., Jacob Levine, Alexandria P. Cogdill, et al.. (2017). Distinct Cellular Mechanisms Underlie Anti-CTLA-4 and Anti-PD-1 Checkpoint Blockade. Cell. 170(6). 1120–1133.e17. 928 indexed citations breakdown →
7.
Wei, Spencer C., Jacob Levine, Dana Pe’er, & James P. Allison. (2017). Abstract 592: Distinct cellular mechanisms mediate anti-CTLA-4 and anti-PD-1 checkpoint blockade. Cancer Research. 77(13_Supplement). 592–592. 1 indexed citations
8.
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 →
9.
Amir, El-ad David, Kara L. Davis, Michelle D. Tadmor, et al.. (2013). viSNE enables visualization of high dimensional single-cell data and reveals phenotypic heterogeneity of leukemia. Nature Biotechnology. 31(6). 545–552. 1099 indexed citations breakdown →
10.
Ihrie, Rebecca A., Jay Shah, Corey C. Harwell, et al.. (2011). Persistent Sonic Hedgehog Signaling in Adult Brain Determines Neural Stem Cell Positional Identity. Neuron. 71(2). 250–262. 201 indexed citations
11.
Rabinovici, Reuven, Jacob Levine, Jerome Vernick, et al.. (1994). Interleukin-2-induced lung injury. The role of complement.. Circulation Research. 74(2). 329–335. 21 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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