Benjamin Zeskind

883 citations
17 papers · 522 · 1 hit paper · h-index 7

Impact in

Papers in

Benjamin Zeskind

17 papers receiving 510 citations

Benjamin Zeskind's Hit Papers

Drug repurposing from the perspective of pharmaceutical companies 2017 · 277 citations
2770+3+6Years since publication50100150200250

Peers

Benjamin Zeskind
Comparison fields: 5 of 107
  • Biophysics 51
  • Computational Theory and Mathematics 97
  • Molecular Biology 185
  • Biological Psychiatry 6
  • Pharmacology 22
Replace Alina Malyutina with:
Alina Malyutina Finland
Joshua F. Apgar United States
Konstantin I. Popov United States
David F. Gebhard United States
Wai‐Lung Ng Hong Kong
Serguei Lejnine United States
Daniel Muthas Sweden
Séverine Mollard France
Joshua A. Bittker United States
Martha Lucía Serrano Colombia
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Citations per year

Countries citing papers authored by Benjamin Zeskind

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Zeskind

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Benjamin Zeskind, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Benjamin Zeskind Line = papers co-authored together Benjamin Zeskind links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1
Drug repurposing from the perspective of pharmaceutical companies
Hit paper breakdown →
2017277
2 2007139
3 201432
4 201518
5 201516
6 201514
7 20218
8 20176
9 20242
10 20222
11 20202
12 20181
13 20211
14 20181
15 20181
16 20151
17 20201

About Benjamin Zeskind

Benjamin Zeskind is a scholar working on Molecular Biology, Immunology, Oncology, Cancer Research and Computational Theory and Mathematics, having authored 17 papers that have together received 522 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (3 papers), Colorectal Cancer Treatments and Studies (3 papers), Immunotherapy and Immune Responses (3 papers), Cancer Genomics and Diagnostics (2 papers), Cancer Treatment and Pharmacology (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Multiple Sclerosis Research Studies (2 papers). The work is most often cited by research in Biophysics (51 citations), Computational Theory and Mathematics (97 citations), Molecular Biology (185 citations), Biological Psychiatry (6 citations) and Pharmacology (22 citations). Benjamin Zeskind has collaborated with scholars based in United States, Israel and Czechia. Frequent co-authors include Rebecca Kusko, Gregory Koytiger, Yoonjeong Cha, Deepak Kumar, Spyros Papapetropoulos, Ian J. Reynolds, Jeffrey Ross, I. Grossman, C. Jordan and Winston Timp. Their work appears in journals such as Cancer Research, Scientific Reports, Nature Methods, Journal of Neuroimmunology and Annals of Oncology.

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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