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 publication4008001.2k

Peers

Doris Coit
Comparison fields: 5 of 99
  • Hepatology 1.5k
  • Epidemiology 1.2k
  • Virology 142
  • Immunology 479
  • Developmental Neuroscience 90
Replace Mingxiao Ding with:
Mingxiao Ding China
Gloria González‐Aseguinolaza Spain
Jennifer A. Price United States
Yasuhiko Masuho Japan
Jun Cheng China
Yoshihide Ueda Japan
Bing Huang United States
Masaaki Shiina Japan
N Kitamura Japan
J. Yun Tso United States
Doris Coit relative to Mingxiao Ding China Mingxiao Ding's profile →
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 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 →
19911456
2 1981281
3 1988258
4 1980223
5 1988209
6 1997200
7 198882
8 200170
9 198567
10 201356
11 200350
12 200748
13 200847
14 198540
15 198139
16 200637
17 200426
18 199026
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 23 papers that have together received 3.3k 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 (5 papers), HIV Research and Treatment (4 papers), Transgenic Plants and Applications (3 papers), Protein purification and stability (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers) and Bacteriophages and microbial interactions (3 papers). The work is most often cited by research in Hepatology (1.5k citations), Epidemiology (1.2k citations), Virology (142 citations), Immunology (479 citations) and Developmental Neuroscience (90 citations). Doris Coit has collaborated with scholars based in United States, Switzerland and Belgium. Frequent co-authors include Jang H. Han, Christine Dong, Karin Berger, P J Barr, Q L Choo, Carmen Gallegos, Joseph Martial, Nancy E. Cooke, John D. Baxter and Patricia Tekamp-Olson. Their work appears in journals such as Journal of Virology, Journal of Clinical Microbiology, Journal of Biological Chemistry, The Journal of Experimental Medicine and Journal of Medical Virology.

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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