Jeffrey Nirschl

2.0k total citations · 1 hit paper
26 papers, 1.2k citations indexed

About

Jeffrey Nirschl is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Jeffrey Nirschl has authored 26 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 7 papers in Cell Biology. Recurrent topics in Jeffrey Nirschl's work include Microtubule and mitosis dynamics (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Cellular transport and secretion (4 papers). Jeffrey Nirschl is often cited by papers focused on Microtubule and mitosis dynamics (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Cellular transport and secretion (4 papers). Jeffrey Nirschl collaborates with scholars based in United States, Netherlands and Germany. Jeffrey Nirschl's co-authors include Erika L.F. Holzbaur, Meng‐meng Fu, Eva Klinman, Pallavi P. Gopal, Carsten Janke, Maria M. Magiera, Jacob E. Lazarus, Pedro Guedes-Dias, Amy E. Ghiretti and Kenneth B. Margulies and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Medicine.

In The Last Decade

Jeffrey Nirschl

22 papers receiving 1.2k citations

Hit Papers

A vision–language foundation model for precision oncology 2025 2026 2025 10 20 30 40

Peers

Jeffrey Nirschl
Comparison fields: 5 of 114
  • Molecular Biology 576
  • Cell Biology 394
  • Physiology 204
  • Cellular and Molecular Neuroscience 188
  • Neurology 179
Replace Chen Sang with:
Chen Sang China
Zsolt Horváth Hungary
Yaron Hakak United States
Ying‐Wooi Wan United States
Suresh Poovathingal Belgium
Haisong Jiang Japan
Agnieszka Krzyzanowska Sweden
Roderick V. Jensen United States
Theofilos Papadopoulos Germany
Chen Sang China View profile →
Citations per field, relative to Jeffrey Nirschl
Jeffrey Nirschl · 1×
Citations per year, relative to Jeffrey Nirschl
Jeffrey Nirschl · 1×

Countries citing papers authored by Jeffrey Nirschl

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey Nirschl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeffrey Nirschl

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey Nirschl. A scholar is included among the top collaborators of Jeffrey Nirschl 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 Jeffrey Nirschl. Jeffrey Nirschl 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
# Work Indexed citations
1 0
2 0
3
A vision–language foundation model for precision oncology breakdown →
48
4 3
5 9
6 18
7 0
8 59
9 3
10 3
11 24
12 114
13 40
14 101
15 74
16 196
17 69
18 139
19 2
20 157

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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