Nir Drayman

1.8k citations
28 papers · 1.2k · h-index 16

Impact in

Papers in

    • Herpesvirus Infections and Treatments 7
    • Cytomegalovirus and herpesvirus research 5
    • Polyomavirus and related diseases 5

Nir Drayman

28 papers receiving 1.2k citations

Peers

Nir Drayman
Comparison fields: 5 of 104
  • Infectious Diseases 300
  • Immunology 221
  • Computational Theory and Mathematics 128
  • Oncology 179
  • Molecular Biology 462
Replace David Ho-Keung Shum with:
David Ho-Keung Shum South Korea
Samiul Hasan United Kingdom
Tristan W. Owens United States
Ajda Rojc United States
Xavier C. Ding Switzerland
Miguel Correa Marrero Cuba
Barbara Clough United Kingdom
Svenja Ulferts Germany
Vinod D. Kumar United States
Kaitlin Schaefer United States
Nir Drayman relative to David Ho-Keung Shum South Korea David Ho-Keung Shum's profile →
Citations per field
00.5×1.5×2×2.4×
David Ho-Keung Shum · 1×
Citations per year

Countries citing papers authored by Nir Drayman

Since Specialization
Citations

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

Fields of papers citing papers by Nir Drayman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Nir Drayman, 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 Nir Drayman Line = papers co-authored together Nir Drayman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021197
2 2011147
3 2022130
4 2019105
5 2022101
6 201283
7 201951
8 202146
9 201345
10 201932
11 202129
12 201724
13 201023
14 201622
15 202222
16 201618
17 201115
18 200913
19 201613
20 202411

About Nir Drayman

Nir Drayman is a scholar working on Epidemiology, Oncology, Immunology, Infectious Diseases and Biophysics, having authored 28 papers that have together received 1.2k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (7 papers), Polyomavirus and related diseases (5 papers), Cytomegalovirus and herpesvirus research (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Plant Virus Research Studies (4 papers), Virus-based gene therapy research (4 papers), Single-cell and spatial transcriptomics (3 papers) and interferon and immune responses (3 papers). The work is most often cited by research in Infectious Diseases (300 citations), Immunology (221 citations), Computational Theory and Mathematics (128 citations), Oncology (179 citations) and Molecular Biology (462 citations). Nir Drayman has collaborated with scholars based in United States, Israel and Switzerland. Frequent co-authors include Ariella Oppenheim, Savaş Tay, Luke F. Vistain, Veronika Butin‐Israeli, Oren Kobiler, Ofer Mandelboim, Yoav Bauman, Alon Vitenshtein, Raizy Gruda and Noam Stern‐Ginossar. Their work appears in journals such as mBio, Journal of Virology, Nature Communications, Science Advances and Cell Host & Microbe.

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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