Tomer Kalisky

7.5k citations
53 papers · 2.9k indexed · 2 hit papers · h-index 27
Topics
Renal and related cancers (12 papers)Complex Network Analysis Techniques (12 papers)Opinion Dynamics and Social Influence (11 papers)

In The Last Decade

Tomer Kalisky

51 papers receiving 2.8k citations

Hit Papers

Quantitative assessment of single-cell RNA-sequencing met...201320262017202120132016100200300400500

Peers

Tomer Kalisky
Comparison fields: 5 of 152
  • Molecular Biology 1.6k
  • Oncology 571
  • Cancer Research 388
  • Genetics 349
  • Biomedical Engineering 341
Replace Sabine Mai with:
Sabine Mai Canada
Ying Tang China
Denise M. Wolf United States
Abhyudai Singh United States
Paul Choi United States
Tomasz Lipniacki Poland
Yaron Shav‐Tal Israel
Joshua J. Waterfall United States
Stephen A. Ramsey United States
Cornelis J. Weijer United Kingdom
Tomer Kalisky relative to Sabine Mai Canada Sabine Mai's profile →
Citations per field
00.5×1.5×
Sabine Mai · 1×
Citations per year

Countries citing papers authored by Tomer Kalisky

Since Specialization
Citations

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

Fields of papers citing papers by Tomer Kalisky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomer Kalisky

This figure shows the co-authorship network connecting the top 25 collaborators of Tomer Kalisky. A scholar is included among the top collaborators of Tomer Kalisky 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 Tomer Kalisky. Tomer Kalisky 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 2
3 1
4 4
5 14
6 12
7 5
8 29
9 53
10 9
11 17
12 52
13
Analysis of Human Colon Tissue Cell Composition Using Single-Cell Gene-Expression PCR
2
14 216
15 33
16 3
17 83
18 18
19 13
20 9

About Tomer Kalisky

Tomer Kalisky is a scholar working on Statistical and Nonlinear Physics, Condensed Matter Physics and Molecular Biology, having authored 53 papers that have together received 2.9k indexed citations. Recurring topics across this work include Renal and related cancers (12 papers), Complex Network Analysis Techniques (12 papers) and Opinion Dynamics and Social Influence (11 papers). The work is most often cited by research in Statistical and Nonlinear Physics (328 citations), Biophysics (148 citations) and Cancer Research (388 citations). Tomer Kalisky has collaborated with scholars based in Israel, United States and Argentina. Frequent co-authors include Stephen R. Quake, Michael F. Clarke, Michael E. Rothenberg, Piero Dalerba, Shlomo Havlin, Sopheak Sim, Reuven Cohen, Paul C. Blainey, Norma Neff and Gary L. Mantalas. Their work appears in journals such as Science, New England Journal of Medicine 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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