Eric Vaughn

29 papers receiving 1.7k citations

Eric Vaughn's Hit Papers

Molecular, spatial, and functional single-cell profiling of the hypothalamic preoptic region 2018 · 807 citations
8070+2+5Years since publication250500750

Peers

Eric Vaughn
Comparison fields: 5 of 101
  • Animal Science and Zoology 709
  • Infectious Diseases 576
  • Endocrine and Autonomic Systems 162
  • Biophysics 113
  • Behavioral Neuroscience 60
Replace Lisa E. Pomeranz with:
Lisa E. Pomeranz United States
Bruce W. Banfield Canada
Richard J. O. Barnard United States
Andreas R. Pfenning United States
Rachel Zamostiano Israel
Patrice Coulon France
Zsolt Boldogkői Hungary
Armin Baiker Germany
D. C. Ciobanu United States
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Citations per year

Countries citing papers authored by Eric Vaughn

Since Specialization
Citations

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

Fields of papers citing papers by Eric Vaughn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Molecular, spatial, and functional single-cell profiling of the hypothalamic preoptic region
Hit paper breakdown →
2018807
2 2004132
3 200999
4 202296
5 200583
6 200780
7 199570
8 199342
9 201139
10 199430
11 201226
12 201224
13 199723
14 199318
15 201618
16 201018
17 200217
18 200313
19 200013
20 19909

About Eric Vaughn

Eric Vaughn is a scholar working on Animal Science and Zoology, Infectious Diseases, Genetics, Cardiology and Cardiovascular Medicine and Molecular Biology, having authored 30 papers that have together received 1.7k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (19 papers), Viral gastroenteritis research and epidemiology (17 papers), Virus-based gene therapy research (14 papers), Viral Infections and Immunology Research (5 papers), Circadian rhythm and melatonin (3 papers), Neuroendocrine regulation and behavior (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). The work is most often cited by research in Animal Science and Zoology (709 citations), Infectious Diseases (576 citations), Endocrine and Autonomic Systems (162 citations), Biophysics (113 citations) and Behavioral Neuroscience (60 citations). Eric Vaughn has collaborated with scholars based in United States, Germany and Spain. Frequent co-authors include Catherine Dulac, Xiaowei Zhuang, Stephen W. Eichhorn, Michael B. Roof, Aviv Regev, Jeffrey R. Moffitt, Nimrod D. Rubinstein, J. Pérez, Dhananjay Bambah-Mukku and Karthik Shekhar. Their work appears in journals such as Journal of Virology, Journal of Veterinary Diagnostic Investigation, Advances in experimental medicine and biology, Veterinary Immunology and Immunopathology and Veterinary Microbiology.

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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