Leah Edelstein‐Keshet

11.9k citations
110 papers · 7.8k indexed · 2 hit papers · h-index 41
Topics
Cellular Mechanics and Interactions (41 papers)Microtubule and mitosis dynamics (27 papers)Mathematical Biology Tumor Growth (16 papers)

In The Last Decade

Leah Edelstein‐Keshet

108 papers receiving 7.4k citations

Hit Papers

Mathematical Models in Biology1999202620082017200519992505007501000

Peers

Leah Edelstein‐Keshet
Comparison fields: 5 of 193
  • Cell Biology 2.0k
  • Molecular Biology 1.8k
  • Genetics 1.3k
  • Computer Networks and Communications 1.3k
  • Modeling and Simulation 1.2k
Replace Hans Meinhardt with:
Hans Meinhardt Germany
Hans G. Othmer United States
George Oster United States
Philip K. Maini United Kingdom
Alan Turing United Kingdom
Ruth E. Baker United Kingdom
J. D. Murray United States
Lee A. Segel Israel
James A. Glazier United States
Raphaël Voituriez France
Leah Edelstein‐Keshet relative to Hans Meinhardt Germany Hans Meinhardt's profile →
Citations per field
00.5×
Hans Meinhardt · 1×
Citations per year

Countries citing papers authored by Leah Edelstein‐Keshet

Since Specialization
Citations

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

Fields of papers citing papers by Leah Edelstein‐Keshet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leah Edelstein‐Keshet. 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 Leah Edelstein‐Keshet. The network helps show where Leah Edelstein‐Keshet may publish in the future.

Co-authorship network of co-authors of Leah Edelstein‐Keshet

This figure shows the co-authorship network connecting the top 25 collaborators of Leah Edelstein‐Keshet. A scholar is included among the top collaborators of Leah Edelstein‐Keshet 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 Leah Edelstein‐Keshet. Leah Edelstein‐Keshet 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
#WorkIndexed citations
1 0
2 1
3 2
4 25
5 6
6 7
7 7
8 16
9 47
10 37
11 32
12 43
13 11
14 75
15 9
16 38
17 28
18 2
19 32
20 350

About Leah Edelstein‐Keshet

Leah Edelstein‐Keshet is a scholar working on Modeling and Simulation, Cell Biology and Biophysics, having authored 110 papers that have together received 7.8k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (41 papers), Microtubule and mitosis dynamics (27 papers) and Mathematical Biology Tumor Growth (16 papers). The work is most often cited by research in Modeling and Simulation (1.2k citations), Cell Biology (2.0k citations) and Biophysics (337 citations). Leah Edelstein‐Keshet has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include Julia K. Parrish, Alexandra Jilkine, Bard Ermentrout, Alexander Mogilner, Athanasius F. M. Marée, Alex Mogilner, William R. Holmes, Yuexian Li, Ryan Lukeman and Yoichiro Mori. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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