Jonathan Chabon

1.2k total citations · 1 hit paper
7 papers, 819 citations indexed

About

Jonathan Chabon is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Jonathan Chabon has authored 7 papers receiving a total of 819 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Oncology. Recurrent topics in Jonathan Chabon's work include Epigenetics and DNA Methylation (3 papers), Acute Myeloid Leukemia Research (2 papers) and DNA Repair Mechanisms (2 papers). Jonathan Chabon is often cited by papers focused on Epigenetics and DNA Methylation (3 papers), Acute Myeloid Leukemia Research (2 papers) and DNA Repair Mechanisms (2 papers). Jonathan Chabon collaborates with scholars based in United States, Netherlands and Israel. Jonathan Chabon's co-authors include Edgar G. Engleman, Matthew H. Spitzer, Tyler R. Prestwood, Nathan E. Reticker-Flynn, Yaron Carmi, Lawrence Fong, Garry P. Nolan, Serena S. Kwek, Maria M. Martins and Sean C. Bendall and has published in prestigious journals such as Cell, Blood and JCI Insight.

In The Last Decade

Jonathan Chabon

7 papers receiving 809 citations

Hit Papers

align trajectories

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.

Systemic Immunity Is Required for Effective Cancer Immunotherapy

2017 687 citations Matthew H. Spitzer, Yaron Carmi et al. Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jonathan Chabon United States	5	505	466	259	74	72	7	819
Amy J. Petty United States	11	344 0.7×	497 1.1×	271 1.0×	80 1.1×	88 1.2×	20	854
Marlous van den Braber Netherlands	3	602 1.2×	563 1.2×	279 1.1×	72 1.0×	80 1.1×	7	865
Hanne Vos Belgium	4	338 0.7×	359 0.8×	261 1.0×	70 0.9×	107 1.5×	12	687
Anusha-Preethi Ganesan United States	6	581 1.2×	639 1.4×	297 1.1×	112 1.5×	111 1.5×	9	1.0k
Élodie Picarda France	9	348 0.7×	448 1.0×	129 0.5×	99 1.3×	50 0.7×	13	688
Christine M. Ho United States	6	541 1.1×	645 1.4×	227 0.9×	49 0.7×	63 0.9×	13	865
Andrew M. Leader United States	6	411 0.8×	583 1.3×	203 0.8×	55 0.7×	80 1.1×	10	799
Kyle R. Cron United States	4	299 0.6×	584 1.3×	219 0.8×	41 0.6×	49 0.7×	10	794
Anna‐Maria Georgoudaki Sweden	11	388 0.8×	751 1.6×	284 1.1×	41 0.6×	107 1.5×	18	953
Lavakumar Karyampudi United States	10	639 1.3×	744 1.6×	197 0.8×	81 1.1×	103 1.4×	15	963

Countries citing papers authored by Jonathan Chabon

Since Specialization

Citations

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

Fields of papers citing papers by Jonathan Chabon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Chabon

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

All Works

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7 of 7 papers shown

1.

Chabon, Jonathan, et al.. (2023). Trends in oxycodone and oxycodone-containing analgesics administration for back pain in emergency departments in the USA (2007-2018). World Journal of Emergency Medicine. 15(3). 169–169. 1 indexed citations

2.

Chu, S. Haihua, Jonathan Chabon, Jian Zhang, et al.. (2020). Loss of H3K36 Methyltransferase SETD2 Impairs V(D)J Recombination during Lymphoid Development. iScience. 23(3). 100941–100941. 9 indexed citations

3.

Chu, S. Haihua, E Song, Jonathan Chabon, et al.. (2018). Inhibition of MEK and ATR is effective in a B-cell acute lymphoblastic leukemia model driven by Mll-Af4 and activated Ras. Blood Advances. 2(19). 2478–2490. 13 indexed citations

4.

Spitzer, Matthew H., Yaron Carmi, Nathan E. Reticker-Flynn, et al.. (2017). Systemic Immunity Is Required for Effective Cancer Immunotherapy. Cell. 168(3). 487–502.e15. 687 indexed citations breakdown →

5.

Mar, Brenton G., S. Haihua Chu, Josephine Kahn, et al.. (2017). SETD2 alterations impair DNA damage recognition and lead to resistance to chemotherapy in leukemia. Blood. 130(24). 2631–2641. 88 indexed citations

6.

Carmi, Yaron, Tyler R. Prestwood, Matthew H. Spitzer, et al.. (2016). Akt and SHP-1 are DC-intrinsic checkpoints for tumor immunity. JCI Insight. 1(18). e89020–e89020. 20 indexed citations

7.

Chu, S. Haihua, Jonathan Chabon, Richard P. Koche, et al.. (2016). Loss of Lysine Histone Methyltransferase Setd2 Disrupts Normal Hematopoiesis, Lineage Commitment and Reveals a Novel Role for H3K36me3 in Immunoglobulin VDJ Recombination. Blood. 128(22). 423–423. 1 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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