Kai J. Neelsen

3.1k total citations · 2 hit papers
15 papers, 2.4k citations indexed

About

Kai J. Neelsen is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Kai J. Neelsen has authored 15 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 5 papers in Cell Biology and 3 papers in Oncology. Recurrent topics in Kai J. Neelsen's work include DNA Repair Mechanisms (13 papers), CRISPR and Genetic Engineering (5 papers) and Microtubule and mitosis dynamics (4 papers). Kai J. Neelsen is often cited by papers focused on DNA Repair Mechanisms (13 papers), CRISPR and Genetic Engineering (5 papers) and Microtubule and mitosis dynamics (4 papers). Kai J. Neelsen collaborates with scholars based in Switzerland, Denmark and Italy. Kai J. Neelsen's co-authors include Massimo Lopes, Raquel Herrador, Maj‐Britt Rask, Arnab Ray Chaudhuri, Luis Toledo, Vincenzo Costanzo, Rodrigo Bermejo, Daniele Fachinetti, Andrea Cocito and Yoshitami Hashimoto and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Kai J. Neelsen

15 papers receiving 2.4k citations

Hit Papers

Liquid demixing of intrinsically disordered proteins is s... 2015 2026 2018 2022 2015 2015 100 200 300 400

Peers

Kai J. Neelsen
Comparison fields: 5 of 85
  • Molecular Biology 2.1k
  • Oncology 760
  • Cell Biology 319
  • Cancer Research 247
  • Genetics 195
Replace Philippe Coulombe with:
Philippe Coulombe France
Robert Driscoll United States
Shinichiro Nakada Japan
Esther W. Hou United States
Lorenza Penengo Switzerland
Cong Liu China
Victoria H. Cowling United Kingdom
Borlan Pan United States
Jörk Zwicker Germany
Arnaud Coquelle France
Philippe Coulombe France View profile →
Citations per field, relative to Kai J. Neelsen
Kai J. Neelsen · 1×
Citations per year, relative to Kai J. Neelsen
Kai J. Neelsen · 1×

Countries citing papers authored by Kai J. Neelsen

Since Specialization
Citations

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

Fields of papers citing papers by Kai J. Neelsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kai J. Neelsen. 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 Kai J. Neelsen. The network helps show where Kai J. Neelsen may publish in the future.

Co-authorship network of co-authors of Kai J. Neelsen

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

All Works

15 of 15 papers shown
# Work Indexed citations
1 44
2 73
3 133
4 162
5 90
6
Replication fork reversal in eukaryotes: from dead end to dynamic response breakdown →
379
7
Liquid demixing of intrinsically disordered proteins is seeded by poly(ADP-ribose) breakdown →
439
8 16
9 151
10 68
11 56
12 114
13 394
14 254
15 19

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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