Nadav Cohen

3.7k citations
5 papers · 1.6k indexed · 1 hit paper · h-index 4
Topics
Single-cell and spatial transcriptomics (1 paper)CAR-T cell therapy research (1 paper)Viral Infections and Outbreaks Research (1 paper)
Journals
ScienceSHILAP Revista de lepidopterologíaJournal of Virology
Partner nations
IsraelUnited States

In The Last Decade

Nadav Cohen

4 papers receiving 1.6k citations

Hit Papers

Massively Parallel Single-Cell RNA-Seq for Marker-Free De...201420262018202220144008001.2k

Peers

Nadav Cohen
Comparison fields: 5 of 114
  • Molecular Biology 1.2k
  • Immunology 357
  • Cancer Research 261
  • Biophysics 136
  • Genetics 128
Replace Betsabeh Khoramian Tusi with:
Betsabeh Khoramian Tusi United States
Austin Hartman United States
Rene Sit United States
Michael E. Rothenberg United States
Francesco Vallania United States
Paula Fernández Switzerland
Gal Avital United States
Jenny Chen United States
Hans‐Hermann Wessels United States
Brad Balderson Australia
Nadav Cohen relative to Betsabeh Khoramian Tusi United States Betsabeh Khoramian Tusi's profile →
Citations per field
00.5×1.7×
Betsabeh Khoramian Tusi · 1×
Citations per year

Countries citing papers authored by Nadav Cohen

Since Specialization
Citations

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

Fields of papers citing papers by Nadav Cohen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nadav Cohen

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

All Works

5 of 5 papers shown
#WorkIndexed citations
1 0
2 26
3 310
4 72
5
Massively Parallel Single-Cell RNA-Seq for Marker-Free Decomposition of Tissues into Cell Typesbreakdown →
1236

About Nadav Cohen

Nadav Cohen is a scholar working on Rehabilitation, Infectious Diseases and Cancer Research, having authored 5 papers that have together received 1.6k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (1 paper), CAR-T cell therapy research (1 paper) and Viral Infections and Outbreaks Research (1 paper). The work is most often cited by research in Biophysics (136 citations), Molecular Biology (1.2k citations) and Cancer Research (261 citations). Nadav Cohen has collaborated with scholars based in Israel and United States. Frequent co-authors include Steffen Jung, Ido Amit, Irina Zaretsky, Ephraim Kenigsberg, Alexander Mildner, Hadas Keren‐Shaul, Amos Tanay, Franziska Paul, Diego Adhemar Jaitin and Eran Elinav. Their work appears in journals such as Science, SHILAP Revista de lepidopterología and Journal of Virology.

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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