Jérémie Kalfon

1.5k total citations · 1 hit paper
8 papers, 515 citations indexed

About

Jérémie Kalfon is a scholar working on Molecular Biology, Hematology and Biophysics. According to data from OpenAlex, Jérémie Kalfon has authored 8 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Hematology and 2 papers in Biophysics. Recurrent topics in Jérémie Kalfon's work include Bioinformatics and Genomic Networks (2 papers), Protein Degradation and Inhibitors (2 papers) and Acute Myeloid Leukemia Research (1 paper). Jérémie Kalfon is often cited by papers focused on Bioinformatics and Genomic Networks (2 papers), Protein Degradation and Inhibitors (2 papers) and Acute Myeloid Leukemia Research (1 paper). Jérémie Kalfon collaborates with scholars based in United States, France and United Kingdom. Jérémie Kalfon's co-authors include Andrea Giovannucci, Baljit S. Khakh, David W. Tank, Dmitri B. Chklovskii, Jiannis Taxidis, Johannes Friedrich, Pat Gunn, Jeffrey L. Gauthier, Pengcheng Zhou and Brandon Brown and has published in prestigious journals such as Nature Communications, Blood and Cancer Research.

In The Last Decade

Jérémie Kalfon

7 papers receiving 509 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.

CaImAn an open source tool for scalable calcium imaging data analysis

2019 461 citations Andrea Giovannucci, Johannes Friedrich et al. eLife profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jérémie Kalfon United States	5	252	232	127	115	47	8	515
Brandon Brown United States	5	301 1.2×	290 1.3×	129 1.0×	103 0.9×	56 1.2×	10	571
Horst A. Obenhaus Germany	8	205 0.8×	228 1.0×	80 0.6×	93 0.8×	27 0.6×	9	416
Julia Ledderose Germany	12	236 0.9×	182 0.8×	70 0.6×	185 1.6×	42 0.9×	17	492
Benjamin Torben-Nielsen Japan	13	191 0.8×	226 1.0×	95 0.7×	106 0.9×	94 2.0×	30	518
Linqing Feng China	13	283 1.1×	196 0.8×	166 1.3×	204 1.8×	47 1.0×	39	670
Emilie Ranheim Skytøen Norway	4	210 0.8×	254 1.1×	60 0.5×	48 0.4×	31 0.7×	5	416
Staci A. Sorensen United States	9	309 1.2×	246 1.1×	104 0.8×	221 1.9×	21 0.4×	12	612
Ikuko T. Smith United States	8	525 2.1×	434 1.9×	158 1.2×	202 1.8×	50 1.1×	12	778
Shuting Han United States	10	252 1.0×	287 1.2×	52 0.4×	87 0.8×	24 0.5×	16	467
Hana Roš United Kingdom	7	491 1.9×	462 2.0×	128 1.0×	184 1.6×	30 0.6×	7	788

Countries citing papers authored by Jérémie Kalfon

Since Specialization

Citations

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

Fields of papers citing papers by Jérémie Kalfon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jérémie Kalfon

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

All Works

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8 of 8 papers shown

1.

Kalfon, Jérémie, Jules Samaran, Gabriel Peyré, & Laura Cantini. (2025). scPRINT: pre-training on 50 million cells allows robust gene network predictions. Nature Communications. 16(1). 3607–3607. 6 indexed citations

2.

Misek, Sean A., Jérémie Kalfon, Javad Noorbakhsh, et al.. (2024). Germline variation contributes to false negatives in CRISPR-based experiments with varying burden across ancestries. Nature Communications. 15(1). 4892–4892. 4 indexed citations

3.

Kalfon, Jérémie, et al.. (2023). Rapid-Kinetics Degron Benchmarking Reveals Off-Target Activities and Mixed Agonism-Antagonism of MYB Inhibitors. Blood. 142(Supplement 1). 3638–3638. 1 indexed citations

4.

Sharifnia, Tanaz, Mathias J. Wawer, Amy Goodale, et al.. (2023). Mapping the landscape of genetic dependencies in chordoma. Nature Communications. 14(1). 1933–1933. 17 indexed citations

5.

Kalfon, Jérémie, Yaser Heshmati, Joshua M. Dempster, et al.. (2022). Transcriptional Plasticity Drives Leukemia Immune Escape. Blood Cancer Discovery. 3(5). 394–409. 12 indexed citations

6.

Dalin, Simona, Frank Dubois, Shu Zhang, et al.. (2022). Abstract 2710: Associations between structural variant signatures and drug sensitivity in cell lines. Cancer Research. 82(12_Supplement). 2710–2710.

7.

Deng, Yun, et al.. (2020). Hidden patterns of codon usage bias across kingdoms. Journal of The Royal Society Interface. 17(163). 20190819–20190819. 14 indexed citations

8.

Giovannucci, Andrea, Johannes Friedrich, Pat Gunn, et al.. (2019). CaImAn an open source tool for scalable calcium imaging data analysis. eLife. 8. 461 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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