Edith Gavis

52 papers receiving 2.1k citations

Hit Papers

Microbiota transplant for hepatic encephalopathy in cirrhosis: The THEMATIC trial 2025 · 16 citations
160Years since publication51015

Peers

Edith Gavis
Comparison fields: 5 of 102
  • Hepatology 1.1k
  • Biological Psychiatry 98
  • Epidemiology 1.3k
  • Gastroenterology 166
  • Infectious Diseases 324
Replace Andrew Fagan with:
Andrew Fagan United States
Ariel Unser United States
Shinya Furukawa Japan
Antonio Gasbarrini Italy
Tien S. Dong United States
Stephen Malnick Israel
Walter Heldwein Germany
Giuseppe Merra Italy
Rakesh Tandon India
E.C. Lauritano Italy
Edith Gavis relative to Andrew Fagan United States Andrew Fagan's profile →
Citations per field
00.5×2.8×
Andrew Fagan · 1×
Citations per year

Countries citing papers authored by Edith Gavis

Since Specialization
Citations

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

Fields of papers citing papers by Edith Gavis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019226
2 2020187
3 2015133
4 2019128
5 2014119
6 2018101
7 201889
8 201982
9 202081
10 202066
11 200564
12 201462
13 202055
14 201953
15 202052
16 201752
17 201649
18 201646
19 202239
20 202139

About Edith Gavis

Edith Gavis is a scholar working on Hepatology, Epidemiology, Molecular Biology, Infectious Diseases and Surgery, having authored 52 papers that have together received 2.1k indexed citations. Recurring topics across this work include Liver Disease and Transplantation (44 papers), Liver Disease Diagnosis and Treatment (37 papers), Gut microbiota and health (14 papers), Organ Transplantation Techniques and Outcomes (10 papers), Clostridium difficile and Clostridium perfringens research (9 papers), Hepatitis C virus research (4 papers), Diet and metabolism studies (4 papers) and Drug-Induced Hepatotoxicity and Protection (3 papers). The work is most often cited by research in Hepatology (1.1k citations), Biological Psychiatry (98 citations), Epidemiology (1.3k citations), Gastroenterology (166 citations) and Infectious Diseases (324 citations). Edith Gavis has collaborated with scholars based in United States, Thailand and Italy. Frequent co-authors include Jasmohan S. Bajaj, Andrew Fagan, Masoumeh Sikaroodi, Patrick M. Gillevet, Michael Fuchs, Douglas M. Heuman, James B. Wade, Leroy R. Thacker, Melanie B. White and Richard K. Sterling. Their work appears in journals such as Journal of Hepatology, Clinical Gastroenterology and Hepatology, Gastroenterology, Hepatology and The American Journal of 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.

Explore authors with similar magnitude of impact