Jonathan M. Starkey

644 citations
15 papers · 545 · h-index 12

Impact in

  • Virology top 5%
    • HIV Research and Treatment
  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

Jonathan M. Starkey

15 papers receiving 541 citations

Peers

Jonathan M. Starkey
Comparison fields: 5 of 84
  • Virology 110
  • Neurology 81
  • Biological Psychiatry 21
  • Physiology 100
  • Nephrology 26
Replace Qiusheng Si with:
Qiusheng Si United States
Mamata Mishra India
Giuseppe Cannavò Italy
Charles S. Venuto United States
Di Yang China
Sergey Trushin United States
C. Venkateshappa India
Yawen Zhou China
Masahide Horiba Japan
A. R. Guimaraes Brazil
Jonathan M. Starkey relative to Qiusheng Si United States Qiusheng Si's profile →
Citations per field
00.5×5.2×
Qiusheng Si · 1×
Citations per year

Countries citing papers authored by Jonathan M. Starkey

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan M. Starkey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan M. Starkey. 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 Jonathan M. Starkey. The network helps show where Jonathan M. Starkey may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2012134
2 2012100
3 200658
4 201448
5 201042
6 201230
7 201326
8 201621
9 201020
10 201817
11 202015
12 201914
13 201210
14 20207
15 20193

About Jonathan M. Starkey

Jonathan M. Starkey is a scholar working on Epidemiology, Molecular Biology, Virology, Physiology and Spectroscopy, having authored 15 papers that have together received 545 indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (4 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Hepatitis B Virus Studies (2 papers), Advanced Proteomics Techniques and Applications (2 papers), Allergic Rhinitis and Sensitization (1 paper), Alzheimer's disease research and treatments (1 paper), Vaccine Coverage and Hesitancy (1 paper) and IoT and Edge/Fog Computing (1 paper). The work is most often cited by research in Virology (110 citations), Neurology (81 citations), Biological Psychiatry (21 citations), Physiology (100 citations) and Nephrology (26 citations). Jonathan M. Starkey has collaborated with scholars based in United States, Vietnam and Japan. Frequent co-authors include Larry Denner, Sigmund J. Haidacher, Bruce A. Luxon, Yingxin Zhao, Rovshan G. Sadygov, Ronald G. Tilton, J. Russ Carmical, Heidi Spratt, Kelly T. Dineley and Richard Rupp. Their work appears in journals such as Vaccine, Journal of Neuroscience, PLoS ONE, Journal of Neurotrauma and Preventive Medicine Reports.

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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