Doris Coit

24 papers receiving 3.2k citations

Doris Coit's Hit Papers

Genetic organization and diversity of the hepatitis C virus. 1991 · 1.5k citations
1.5k0+11+23Years since publication50010001.5k

Peers

Doris Coit
Comparison fields: 5 of 99
  • Hepatology 1.6k
  • Epidemiology 1.3k
  • Virology 147
  • Immunology 500
  • Developmental Neuroscience 91
Replace Mingxiao Ding with:
Mingxiao Ding China
Jennifer A. Price United States
Gloria González‐Aseguinolaza Spain
Merrill J. Rowley Australia
Yasuhiko Masuho Japan
Jun Cheng China
Bing Huang United States
Yoshihide Ueda Japan
Kleanthis G. Xanthopoulos United States
Bruce E. Loveland Australia
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Citations per field
00.5×4.9×
Mingxiao Ding · 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 24 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 1981308
3 1988264
4 1980243
5 1988221
6 1997202
7 198885
8 200176
9 198576
10 201360
11 200357
12 200748
13 200847
14 198142
15 198542
16 200639
17 200428
18 199027
19 200520
20 200017

About Doris Coit

Doris Coit is a scholar working on Molecular Biology, Hepatology, Epidemiology, Radiology, Nuclear Medicine and Imaging and Virology, having authored 24 papers that have together received 3.4k indexed citations. Recurring topics across this work include Hepatitis C virus research (9 papers), Hepatitis B Virus Studies (7 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), HIV Research and Treatment (5 papers), Bacteriophages and microbial interactions (4 papers), Transgenic Plants and Applications (3 papers), Protein purification and stability (3 papers) and Growth Hormone and Insulin-like Growth Factors (3 papers). The work is most often cited by research in Hepatology (1.6k citations), Epidemiology (1.3k citations), Virology (147 citations), Immunology (500 citations) and Developmental Neuroscience (91 citations). Doris Coit has collaborated with scholars based in United States, Switzerland and Belgium. Frequent co-authors include Jang H. Han, Christine Dong, P J Barr, Karin Berger, Q L Choo, Carmen Gallegos, Joseph Martial, John D. Baxter, Nancy E. Cooke and Patricia Tekamp-Olson. Their work appears in journals such as Journal of Virology, Journal of Clinical Microbiology, Journal of Biological Chemistry, 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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