Benjamin R. tenOever

21.5k citations
103 papers · 11.5k indexed · 5 hit papers · h-index 50

Benjamin R. tenOever

102 papers receiving 11.4k citations

Hit Papers

Innate im...134200320262010201850010001.5k2.0k2.5k

Peers

Benjamin R. tenOever
Comparison fields: 5 of 140
  • Immunology 5.3k
  • Infectious Diseases 4.4k
  • Cancer Research 1.3k
  • Animal Science and Zoology 815
  • Epidemiology 2.5k
Replace Friedemann Weber with:
Friedemann Weber Germany
Bo‐Jian Zheng Hong Kong
Mengji Lu Germany
Ilkka Julkunen Finland
Randy A. Albrecht United States
Michaela U. Gack United States
Rune Hartmann Denmark
Ulrich Kalinke Germany
Søren R. Paludan Denmark
Maryline Panis United States
Benjamin R. tenOever relative to Friedemann Weber Germany Friedemann Weber's profile →
Citations per field
00.5×3.1×
Friedemann Weber · 1×
Citations per year

Countries citing papers authored by Benjamin R. tenOever

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin R. tenOever

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20235
2 202318
3 20237
4 20238
5 202319
6
Innate immune evasion strategies of SARS-CoV-2breakdown →
2023134
7 202253
8 202287
9 20222
10 202126
11 202161
12 202127
13 201936
14 20191
15 201727
16 201799
17 2010161
18 201045
19 200532
20 200439

About Benjamin R. tenOever

Benjamin R. tenOever is a scholar working on Immunology, Infectious Diseases and Cancer Research, having authored 103 papers that have together received 11.5k indexed citations. Recurring topics across this work include interferon and immune responses (44 papers), Influenza Virus Research Studies (17 papers), SARS-CoV-2 and COVID-19 Research (15 papers), COVID-19 Clinical Research Studies (11 papers), Viral Infections and Vectors (11 papers), Cytokine Signaling Pathways and Interactions (11 papers), RNA Interference and Gene Delivery (10 papers) and RNA regulation and disease (10 papers). The work is most often cited by research in Immunology (5.3k citations), Infectious Diseases (4.4k citations) and Cancer Research (1.3k citations). Benjamin R. tenOever has collaborated with scholars based in United States, Canada and France. Frequent co-authors include John Hiscott, Nathalie Grandvaux, Rongtuan Lin, David Sachs, Sonia Sharma, Tristan X. Jordan, Guoping Zhou, Maryline Panis, Skyler Uhl and Daisy A. Hoagland. Their work appears in journals such as Nature, Science and Cell.

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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