Nir Drayman

1.8k citations
23 papers · 687 · h-index 14

Impact in

    • interferon and immune responses
    • Immune Cell Function and Interaction
    • Polyomavirus and related diseases

Papers in

    • Herpesvirus Infections and Treatments 7
    • Cytomegalovirus and herpesvirus research 5
    • Single-cell and spatial transcriptomics 3

Nir Drayman

23 papers receiving 674 citations

Peers

Nir Drayman
Comparison fields: 5 of 85
  • Immunology 173
  • Oncology 163
  • Virology 24
  • Infectious Diseases 91
  • Epidemiology 159
Replace Joerg‐Matthias Pollok with:
Joerg‐Matthias Pollok Germany
Vel Murugan United States
Stephen Pacchione United States
Lia Chappell United Kingdom
Beat Amstutz Switzerland
Dongli Pan China
Pirjo Spuul France
Sai Vikram Vemula United States
Jacqueline Staring Netherlands
Homero San‐Juan‐Vergara Colombia
Nir Drayman relative to Joerg‐Matthias Pollok Germany Joerg‐Matthias Pollok's profile →
Citations per field
00.5×3.1×
Joerg‐Matthias Pollok · 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 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011150
2 2019102
3 201284
4 201946
5 201343
6 202141
7 201930
8 201023
9 201723
10 202122
11 201622
12 201616
13 201115
14 200913
15 201612
16 202110
17 20158
18 20247
19 20257
20 20076

About Nir Drayman

Nir Drayman is a scholar working on Epidemiology, Molecular Biology, Oncology, Immunology and Genetics, having authored 23 papers that have together received 687 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), Plant Virus Research Studies (4 papers), Virus-based gene therapy research (4 papers), Single-cell and spatial transcriptomics (3 papers), interferon and immune responses (3 papers) and Full-Duplex Wireless Communications (2 papers). The work is most often cited by research in Immunology (173 citations), Oncology (163 citations), Virology (24 citations), Infectious Diseases (91 citations) and Epidemiology (159 citations). Nir Drayman has collaborated with scholars based in United States, Israel and Switzerland. Frequent co-authors include Ariella Oppenheim, Savaş Tay, Luke Vistain, Veronika Butin‐Israeli, Oren Kobiler, Yoav Bauman, Ofer Mandelboim, Noam Stern‐Ginossar, Daphna Nachmani and Raizy Gruda. Their work appears in journals such as Journal of Virology, Nature Communications, Oncotarget, Cell Host & Microbe and mBio.

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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