Barbara McGovern

3.6k citations
63 papers · 1.8k · h-index 22

Impact in

  • Hepatology top 0.5%
    • Hepatitis C virus research
  • Virology top 5%
    • HIV Research and Treatment

Papers in

    • Hepatitis B Virus Studies 23
    • Liver Disease Diagnosis and Treatment 23
    • Hepatitis C virus research 34

Barbara McGovern

61 papers receiving 1.8k citations

Peers

Barbara McGovern
Comparison fields: 5 of 111
  • Hepatology 1.1k
  • Virology 172
  • Infectious Diseases 648
  • Epidemiology 1.2k
  • Gastroenterology 119
Replace Susanna Naggie with:
Susanna Naggie United States
Massimo Resti Italy
Carla S. Coffin Canada
Ray Fox United Kingdom
Chris Taylor United Kingdom
Nancy P. Lam United States
A. J. Keller Australia
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Citations per field
00.5×4.8×
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Citations per year

Countries citing papers authored by Barbara McGovern

Since Specialization
Citations

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

Fields of papers citing papers by Barbara McGovern

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016230
2 2012180
3 2008156
4 2006112
5 200799
6 201588
7 200586
8 200979
9 200375
10 201569
11 201563
12 200751
13 199147
14 201244
15 200736
16 200633
17 202031
18 201528
19
Impact of new therapeutics for hepatitis C virus infection in incarcerated populations.
201328
20 201526

About Barbara McGovern

Barbara McGovern is a scholar working on Epidemiology, Hepatology, Infectious Diseases, Molecular Biology and Critical Care and Intensive Care Medicine, having authored 63 papers that have together received 1.8k indexed citations. Recurring topics across this work include Hepatitis C virus research (34 papers), Hepatitis B Virus Studies (23 papers), Liver Disease Diagnosis and Treatment (23 papers), Clostridium difficile and Clostridium perfringens research (22 papers), Gut microbiota and health (17 papers), Nosocomial Infections in ICU (11 papers), HIV/AIDS drug development and treatment (7 papers) and HIV-related health complications and treatments (5 papers). The work is most often cited by research in Hepatology (1.1k citations), Virology (172 citations), Infectious Diseases (648 citations), Epidemiology (1.2k citations) and Gastroenterology (119 citations). Barbara McGovern has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Arthur Y. Kim, Laura L. Reyor, Rajesh T. Gandhi, Georg M. Lauer, Paul E. Sax, Massimo Puoti, Pablo Barreiro, Vincent Soriano, Pilar García‐Gascó and Yves Benhamou. Their work appears in journals such as Open Forum Infectious Diseases, Clinical Infectious Diseases, The Journal of Infectious Diseases, Journal of Hepatology and Hepatology.

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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