Gad Shaulsky

11.1k total citations
111 papers, 5.8k citations indexed

About

Gad Shaulsky is a scholar working on Molecular Biology, Cell Biology and Biophysics. According to data from OpenAlex, Gad Shaulsky has authored 111 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Molecular Biology, 53 papers in Cell Biology and 18 papers in Biophysics. Recurrent topics in Gad Shaulsky's work include Cellular Mechanics and Interactions (48 papers), Microtubule and mitosis dynamics (22 papers) and Cell Image Analysis Techniques (14 papers). Gad Shaulsky is often cited by papers focused on Cellular Mechanics and Interactions (48 papers), Microtubule and mitosis dynamics (22 papers) and Cell Image Analysis Techniques (14 papers). Gad Shaulsky collaborates with scholars based in United States, Slovenia and Israel. Gad Shaulsky's co-authors include William F. Loomis, Adam Kuspa, Varda Rotter, Naomi Goldfinger, Blaž Zupan, Avri Ben‐Ze'ev, David C. Queller, Joan E. Strassmann, Ricardo Escalante and Mariko Katoh and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Gad Shaulsky

110 papers receiving 5.7k citations

Peers

Gad Shaulsky
Comparison fields: 5 of 155
  • Molecular Biology 3.4k
  • Cell Biology 2.0k
  • Oncology 1.1k
  • Genetics 911
  • Biomedical Engineering 568
Replace Carlo C. Maley with:
Carlo C. Maley United States
Adam Kuspa United States
Matthew Freeman United Kingdom
Cornelis J. Weijer United Kingdom
Matthew P. Scott United States
Kevin P. White United States
Maitreya J. Dunham United States
Francesc Posas Spain
Richard H. Kessin United States
Amos Tanay Israel
Carlo C. Maley United States View profile →
Citations per field, relative to Gad Shaulsky
Gad Shaulsky · 1×
Citations per year, relative to Gad Shaulsky
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Countries citing papers authored by Gad Shaulsky

Since Specialization
Citations

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

Fields of papers citing papers by Gad Shaulsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gad Shaulsky

This figure shows the co-authorship network connecting the top 25 collaborators of Gad Shaulsky. A scholar is included among the top collaborators of Gad Shaulsky 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 Gad Shaulsky. Gad Shaulsky 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 18
2 3
3 16
4 23
5 3
6 27
7 61
8 16
9 101
10 12
11 52
12 29
13 17
14 6
15 132
16 13
17 48
18 72
19
Nuclear localization is essential for the activity of p53 protein.
166
20 11

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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