Jérémie Kalfon

1.5k citations
8 papers · 515 indexed · 1 hit paper · h-index 5
Topics
Bioinformatics and Genomic Networks (2 papers)Protein Degradation and Inhibitors (2 papers)Acute Myeloid Leukemia Research (1 paper)

In The Last Decade

Jérémie Kalfon

7 papers receiving 509 citations

Hit Papers

CaImAn an open source tool for scalable calcium imaging d...20192026202120232019100200300400

Peers

Jérémie Kalfon
Comparison fields: 5 of 73
  • Cellular and Molecular Neuroscience 252
  • Cognitive Neuroscience 232
  • Biophysics 127
  • Molecular Biology 115
  • Cell Biology 47
Replace Brandon Brown with:
Brandon Brown United States
Julia Ledderose Germany
Horst A. Obenhaus Germany
Hana Roš United Kingdom
Staci A. Sorensen United States
Linqing Feng China
Adam L. Tyson United Kingdom
Victoria X. Wang United States
Ikuko T. Smith United States
Peter Rupprecht Switzerland
Jérémie Kalfon relative to Brandon Brown United States Brandon Brown's profile →
Citations per field
00.5×1.5×
Brandon Brown · 1×
Citations per year

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

8 of 8 papers shown
#WorkIndexed citations
1 6
2 4
3 1
4 17
5 12
6 0
7 14
8
CaImAn an open source tool for scalable calcium imaging data analysisbreakdown →
461

About Jérémie Kalfon

Jérémie Kalfon is a scholar working on Biophysics, Hematology and Cancer Research, having authored 8 papers that have together received 515 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (2 papers), Protein Degradation and Inhibitors (2 papers) and Acute Myeloid Leukemia Research (1 paper). The work is most often cited by research in Biophysics (127 citations), Cellular and Molecular Neuroscience (252 citations) and Cognitive Neuroscience (232 citations). Jérémie Kalfon has collaborated with scholars based in United States, France and South Korea. Frequent co-authors include Pat Gunn, Johannes Friedrich, Baljit S. Khakh, Andrea Giovannucci, Eftychios A. Pnevmatikakis, Pengcheng Zhou, Jeffrey L. Gauthier, David W. Tank, Sue Ann Koay and Brandon Brown. Their work appears in journals such as Nature Communications, Blood and Cancer Research.

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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