Gary W. Witherell

4.1k citations
21 papers · 3.5k indexed · 1 hit paper · h-index 16

Gary W. Witherell

21 papers receiving 3.4k citations

Hit Papers

Oligoribonucleotide synthesis using T7 RNA polymerase and...1.9k198720262000201350010001.5k

Peers

Gary W. Witherell
Comparison fields: 5 of 105
  • Molecular Biology 2.8k
  • Infectious Diseases 559
  • Cardiology and Cardiovascular Medicine 676
  • Virology 123
  • Hepatology 153
Replace George G. Brownlee with:
George G. Brownlee United Kingdom
Uwe von Ahsen Austria
A. Renard Belgium
Hong Xie United States
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Gary W. Witherell relative to George G. Brownlee United Kingdom George G. Brownlee's profile →
Citations per field
00.5×4.9×
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Citations per year

Countries citing papers authored by Gary W. Witherell

Since Specialization
Citations

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

Fields of papers citing papers by Gary W. Witherell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gary W. Witherell. 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 Gary W. Witherell. The network helps show where Gary W. Witherell may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201257
2 201219
3 2010195
4
Oral typhoid vaccine. Acambis/Berna.
20033
5 2001376
6 20014
7
BMS-232632 (Novartis/Bristol-Myers Squibb).
20016
8 200077
9
AG-7088 Pfizer.
200023
10 20009
11 199532
12 199419
13 199437
14 199351
15 1993295
16 1991160
17 199041
18 1990169
19 198994
20
Oligoribonucleotide synthesis using T7 RNA polymerase and synthetic DNA templatesbreakdown →
19871874

About Gary W. Witherell

Gary W. Witherell is a scholar working on Cardiology and Cardiovascular Medicine, Infectious Diseases, Hepatology, Biotechnology and Molecular Biology, having authored 21 papers that have together received 3.5k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (10 papers), Viral Infections and Immunology Research (8 papers), RNA regulation and disease (4 papers), Bacteriophages and microbial interactions (3 papers), RNA Research and Splicing (3 papers), Viral gastroenteritis research and epidemiology (2 papers), Respiratory viral infections research (2 papers) and Antimicrobial Resistance in Staphylococcus (2 papers). The work is most often cited by research in Molecular Biology (2.8k citations), Infectious Diseases (559 citations), Cardiology and Cardiovascular Medicine (676 citations), Virology (123 citations) and Hepatology (153 citations). Gary W. Witherell has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include John F. Milligan, Olke C. Uhlenbeck, Duncan R. Groebe, Eckard Wimmer, Christopher U.T. Hellen, Tatyana V. Pestova, Arnim Pause, Stéphane Pyronnet, Graham J. Belsham and Yuri V. Svitkin. Their work appears in journals such as Biochemistry, Journal of Medical Virology, Virology, Clinical Infectious Diseases and Current Protocols in Cell Biology.

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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