Jennifer Guy

2.2k citations
22 papers · 682 · h-index 12

Impact in

  • Hepatology top 2%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Liver Disease and Transplantation
    • Hepatitis C virus research
    • Liver Diseases and Immunity
  • Epidemiology top 10%
    • Liver Disease Diagnosis and Treatment
    • Hepatitis B Virus Studies

Papers in

    • Liver Disease and Transplantation 9
    • Hepatocellular Carcinoma Treatment and Prognosis 7
    • Hepatitis C virus research 2
    • Liver Diseases and Immunity 2
    • Liver Disease Diagnosis and Treatment 11
    • Hepatitis B Virus Studies 3

Jennifer Guy

22 papers receiving 665 citations

Peers

Jennifer Guy
Comparison fields: 5 of 79
  • Hepatology 521
  • Epidemiology 387
  • Transplantation 16
  • Surgery 217
  • Pathology and Forensic Medicine 58
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Citations per field
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Citations per year

Countries citing papers authored by Jennifer Guy

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Guy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Liver disease in women: the influence of gender on epidemiology, natural history, and patient outcomes.
2013166
2 2017102
3 202180
4 200558
5 201049
6 201141
7 201436
8 200928
9 201426
10 200925
11 200920
12 201317
13 20239
14 20138
15 20214
16 20113
17 20153
18 20232
19 20122
20 20241

About Jennifer Guy

Jennifer Guy is a scholar working on Hepatology, Epidemiology, Surgery, General Health Professions and Obstetrics and Gynecology, having authored 22 papers that have together received 682 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (11 papers), Liver Disease and Transplantation (9 papers), Hepatocellular Carcinoma Treatment and Prognosis (7 papers), Organ Transplantation Techniques and Outcomes (5 papers), Hepatitis B Virus Studies (3 papers), Hepatitis C virus research (2 papers), Renal Transplantation Outcomes and Treatments (2 papers) and Liver Diseases and Immunity (2 papers). The work is most often cited by research in Hepatology (521 citations), Epidemiology (387 citations), Transplantation (16 citations), Surgery (217 citations) and Pathology and Forensic Medicine (58 citations). Jennifer Guy has collaborated with scholars based in United States, United Kingdom and Chile. Frequent co-authors include Marion G. Peters, Francis Y. Yao, John P. Roberts, Catherine Frenette, Neil Mehta, Jennifer L. Dodge, Robert W. Osorio, Hal F. Yee, Peiqing Qian and Jeffrey A. Lowell. Their work appears in journals such as Clinical Gastroenterology and Hepatology, Hepatology, Digestive Diseases and Sciences, Liver Transplantation and Gastroenterology.

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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