Kai J. Neelsen

3.1k citations
15 papers · 2.4k indexed · 2 hit papers · h-index 15
Topics
DNA Repair Mechanisms (13 papers)CRISPR and Genetic Engineering (5 papers)Microtubule and mitosis dynamics (4 papers)
Partner nations
SwitzerlandDenmarkItaly

In The Last Decade

Kai J. Neelsen

15 papers receiving 2.4k citations

Hit Papers

Liquid demixing of intrinsically disordered proteins is s...201520262018202220152015100200300400

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
Shinichiro Nakada Japan
Robert Driscoll United States
Helen Yu United States
Annette Flotho Germany
Esther W. Hou United States
Manuel Kaulich Germany
Jörk Zwicker Germany
N. Justin United Kingdom
Julia I. Toth United States
Kai J. Neelsen relative to Philippe Coulombe France Philippe Coulombe's profile →
Citations per field
00.5×1.5×2.3×
Philippe Coulombe · 1×
Citations per year

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
#WorkIndexed citations
1 44
2 73
3 133
4 162
5 90
6
Replication fork reversal in eukaryotes: from dead end to dynamic responsebreakdown →
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

About Kai J. Neelsen

Kai J. Neelsen is a scholar working on Cell Biology, Molecular Biology and Cancer Research, having authored 15 papers that have together received 2.4k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (13 papers), CRISPR and Genetic Engineering (5 papers) and Microtubule and mitosis dynamics (4 papers). The work is most often cited by research in Molecular Biology (2.1k citations), Oncology (760 citations) and Cell Biology (319 citations). Kai J. Neelsen has collaborated with scholars based in Switzerland, Denmark and Italy. Frequent 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. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

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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