Doris Coit

23 papers receiving 3.1k citations

Doris Coit's Hit Papers

Genetic organization and diversity of the hepatitis C virus. 1991 · 1.5k citations
1.5k0+11+23Years since publication5001k1.5k

Peers

Doris Coit
Comparison fields: 5 of 100
  • Hepatology 1.6k
  • Endocrinology, Diabetes and Metabolism 359
  • Cellular and Molecular Neuroscience 173
  • Oncology 234
  • Immunology 189
Replace Rolf E. Kuestner with:
Rolf E. Kuestner United States
Bing Q Huang United States
Gloria González‐Aseguinolaza Spain
Susan Kaufman Canada
JOHN R. BELL United States
Leonor Kremer Spain
Melanie M. Ihrig United States
Robert J. Tushinski United States
E. van Garderen Netherlands
Claudia Sievers Germany
Doris Coit relative to Rolf E. Kuestner United States Rolf E. Kuestner's profile →
Citations per field
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Rolf E. Kuestner · 1×
Citations per year

Countries citing papers authored by Doris Coit

Since Specialization
Citations

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

Fields of papers citing papers by Doris Coit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Doris Coit, 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 Doris Coit Line = papers co-authored together Doris Coit 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
Genetic organization and diversity of the hepatitis C virus.
Hit paper breakdown →
19911515
2 1981299
3 1988258
4 1980240
5 1988221
6 1997203
7 198881
8 198576
9 200176
10 201359
11 200357
12 200748
13 200847
14 198542
15 198141
16 200640
17 200428
18 199026
19 200520
20 200017

About Doris Coit

Doris Coit is a scholar working on Hepatology, Epidemiology, Endocrinology, Diabetes and Metabolism, Oncology and Molecular Biology, having authored 23 papers that have together received 3.4k indexed citations. Recurring topics across this work include Hepatitis C virus research (6 papers), Hepatitis B Virus Studies (5 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers), Fungal and yeast genetics research (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Chemokine receptors and signaling (2 papers), Liver physiology and pathology (1 paper) and Cytokine Signaling Pathways and Interactions (1 paper). The work is most often cited by research in Hepatology (1.6k citations), Endocrinology, Diabetes and Metabolism (359 citations), Cellular and Molecular Neuroscience (173 citations), Oncology (234 citations) and Immunology (189 citations). Doris Coit has collaborated with scholars based in United States, Belgium and Sweden. Frequent co-authors include Jang Hyun Han, Christine Dong, Q L Choo, Karin Berger, P J Barr, Carmen Gallegos, John D. Baxter, JOSEPH A. MARTIAL, Nancy E. Cooke and Patricia Tekamp-Olson. Their work appears in journals such as Journal of Virology, Journal of Biological Chemistry, Journal of Clinical Microbiology, Nature Biotechnology and The Journal of Experimental Medicine.

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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