Edith Gavis

15 papers receiving 1.0k citations

Edith Gavis's Hit Papers

Fecal microbiota transplant from a rational stool donor improves hepatic encephalopathy: A randomized clinical trial 2017 · 477 citations
4770+3+6Years since publication100200300400

Peers

Edith Gavis
Comparison fields: 5 of 76
  • Hepatology 359
  • Gastroenterology 107
  • Epidemiology 519
  • Infectious Diseases 251
  • Molecular Biology 510
Replace Dae Joong Kang with:
Dae Joong Kang United States
Isabel Gómez‐Hurtado Spain
Sachin Kunde United States
Oriol Juanola Spain
Philipp Kasper Germany
Vivek A. Saraswat India
Bradford Waters United States
M. Lario Spain
Ahmed Abu-Shanab Ireland
Elsa Mondou United States
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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

15 of 15 papers shown
#Work
1
Fecal microbiota transplant from a rational stool donor improves hepatic encephalopathy: A randomized clinical trial
Hit paper breakdown →
2017477
2 2017122
3 201897
4 201793
5 201570
6 201864
7 201543
8 201935
9 201918
10 201916
11 20206
12 20186
13 20031
14 20091
15 20181

About Edith Gavis

Edith Gavis is a scholar working on Epidemiology, Hepatology, Physiology, Molecular Biology and Pathology and Forensic Medicine, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include Liver Disease and Transplantation (7 papers), Liver Disease Diagnosis and Treatment (7 papers), Diet and metabolism studies (5 papers), Gut microbiota and health (4 papers), Alcohol Consumption and Health Effects (2 papers), Colorectal Cancer Screening and Detection (1 paper), Clinical Nutrition and Gastroenterology (1 paper) and Nutritional Studies and Diet (1 paper). The work is most often cited by research in Hepatology (359 citations), Gastroenterology (107 citations), Epidemiology (519 citations), Infectious Diseases (251 citations) and Molecular Biology (510 citations). Edith Gavis has collaborated with scholars based in United States, United Kingdom and Türkiye. Frequent co-authors include Jasmohan S. Bajaj, Douglas M. Heuman, Andrew Fagan, Patrick M. Gillevet, Masoumeh Sikaroodi, Eric Liu, Leroy R. Thacker, Phillip B. Hylemon, Jessica Wang and Melanie B. White. Their work appears in journals such as Journal of Hepatology, Gastroenterology, Hepatology, Liver Transplantation and Clinical Gastroenterology 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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