John V. Dollen

2.0k citations
19 papers · 1.4k · 1 hit paper · h-index 16

Impact in

Papers in

John V. Dollen

19 papers receiving 1.4k citations

John V. Dollen's Hit Papers

Comparative Flavivirus-Host Protein Interaction Mapping Reveals Mechanisms of Dengue and Zika Virus Pathogenesis 2018 · 265 citations
2650+2+5Years since publication50100150200250

Peers

John V. Dollen
Comparison fields: 5 of 95
  • Microbiology 112
  • Infectious Diseases 318
  • Virology 73
  • Endocrinology 70
  • Cell Biology 167
Replace Champion C. S. Deivanayagam with:
Champion C. S. Deivanayagam United States
Zhiwei Huang China
Prasad Tongaonkar United States
Viviana Falcón Cuba
Jacqueline M. Kimmey United States
Nikolaus Machuy Germany
Per Hagblom Sweden
Esteban Veiga Spain
B L Pasloske United States
Melissa S. Maginnis United States
John V. Dollen relative to Champion C. S. Deivanayagam United States Champion C. S. Deivanayagam's profile →
Citations per field
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Champion C. S. Deivanayagam · 1×
Citations per year

Countries citing papers authored by John V. Dollen

Since Specialization
Citations

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

Fields of papers citing papers by John V. Dollen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John V. Dollen. 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 John V. Dollen. The network helps show where John V. Dollen may publish in the future.

Co-authors

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

All Works

19 of 19 papers shown
#Work
1
Comparative Flavivirus-Host Protein Interaction Mapping Reveals Mechanisms of Dengue and Zika Virus Pathogenesis
Hit paper breakdown →
2018265
2 2014163
3 2015161
4 2018116
5 2015111
6 201873
7 201871
8 201669
9 201765
10 201958
11 201555
12 202145
13 201741
14 201919
15 201216
16 202216
17 201916
18 20219
19 20241

About John V. Dollen

John V. Dollen is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Virology and Microbiology, having authored 19 papers that have together received 1.4k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (3 papers), Viral Infections and Vectors (2 papers), Mosquito-borne diseases and control (2 papers), HIV Research and Treatment (2 papers), RNA modifications and cancer (2 papers), Bioinformatics and Genomic Networks (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Reproductive tract infections research (2 papers). The work is most often cited by research in Microbiology (112 citations), Infectious Diseases (318 citations), Virology (73 citations), Endocrinology (70 citations) and Cell Biology (167 citations). John V. Dollen has collaborated with scholars based in United States, Canada and Poland. Frequent co-authors include Nevan J. Krogan, Erik Verschueren, Jeffrey R. Johnson, Tasha Lynn Johnson, Gwendolyn Μ. Jang, Julie A. Horner, Priya S. Shah, Joanne N. Engel, Holly R. Ramage and Billy W. Newton. Their work appears in journals such as Molecular Cell, eLife, Cell, Cancer Discovery and Molecular & Cellular Proteomics.

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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