Edith Gavis

1.4k total citations · 1 hit paper
15 papers, 984 citations indexed

About

Edith Gavis is a scholar working on Epidemiology, Hepatology and Physiology. According to data from OpenAlex, Edith Gavis has authored 15 papers receiving a total of 984 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Epidemiology, 11 papers in Hepatology and 7 papers in Physiology. Recurrent topics in Edith Gavis's work include Liver Disease and Transplantation (11 papers), Liver Disease Diagnosis and Treatment (11 papers) and Diet and metabolism studies (6 papers). Edith Gavis is often cited by papers focused on Liver Disease and Transplantation (11 papers), Liver Disease Diagnosis and Treatment (11 papers) and Diet and metabolism studies (6 papers). Edith Gavis collaborates with scholars based in United States, United Kingdom and Türkiye. Edith Gavis's co-authors include Jasmohan S. Bajaj, Douglas M. Heuman, Andrew Fagan, Masoumeh Sikaroodi, Patrick M. Gillevet, Eric Liu, Leroy R. Thacker, Phillip B. Hylemon, Melanie B. White and Jessica Wang and has published in prestigious journals such as Gastroenterology, Hepatology and Gut.

In The Last Decade

Edith Gavis

15 papers receiving 977 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Fecal microbiota transplant from a rational stool donor improves hepatic encephalopathy: A randomized clinical trial

2017 439 citations Jasmohan S. Bajaj, Zain Kassam et al. Hepatology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Edith Gavis United States	10	633	536	394	264	190	15	984
Dae Joong Kang United States	7	442 0.7×	412 0.8×	235 0.6×	60 0.2×	68 0.4×	7	693
Sachin Kunde United States	8	437 0.7×	291 0.5×	133 0.3×	315 1.2×	147 0.8×	11	758
Marcel Sorribas Switzerland	5	436 0.7×	439 0.8×	138 0.4×	69 0.3×	127 0.7×	5	835
Roman Maslennikov Russia	15	245 0.4×	222 0.4×	166 0.4×	141 0.5×	105 0.6×	62	579
Apurva Pande India	7	419 0.7×	288 0.5×	140 0.4×	103 0.4×	65 0.3×	22	658
Vania Cruz-Ramón Mexico	7	343 0.5×	286 0.5×	201 0.5×	38 0.1×	104 0.5×	10	723
Madhu Chopra India	9	295 0.5×	167 0.3×	238 0.6×	52 0.2×	119 0.6×	21	439
Zhong Ping Duan United Kingdom	2	338 0.5×	158 0.3×	283 0.7×	39 0.1×	151 0.8×	2	476
Oscar Ramírez-Pérez Mexico	7	271 0.4×	231 0.4×	127 0.3×	38 0.1×	90 0.5×	10	562
Paulina Chinchilla-López Mexico	7	225 0.4×	257 0.5×	158 0.4×	38 0.1×	107 0.6×	14	606

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-authorship network of co-authors of Edith Gavis

This figure shows the co-authorship network connecting the top 25 collaborators of Edith Gavis. A scholar is included among the top collaborators of Edith Gavis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Edith Gavis. Edith Gavis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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15 of 15 papers shown

Bajaj, Jasmohan S., Andrew Fagan, Edith Gavis, et al.. (2020). Fecal microbial transplant reduces short-term cravings, improves quality of life and microbial diversity in cirrhosis and alcohol use disorder: a randomized, placebo-controlled, clinical trial. Journal of Hepatology. 73. S59–S60. 5 indexed citations

Bajaj, Jasmohan S., Andrew Fagan, Masoumeh Sikaroodi, et al.. (2019). Alterations in Skin Microbiomes of Patients With Cirrhosis. Clinical Gastroenterology and Hepatology. 17(12). 2581–2591.e15. 15 indexed citations

Bajaj, Jasmohan S., Patricia P. Bloom, Raymond T. Chung, et al.. (2019). Variability and Lability of Ammonia Levels in Healthy Volunteers and Patients With Cirrhosis: Implications for Trial Design and Clinical Practice. The American Journal of Gastroenterology. 115(5). 783–785. 31 indexed citations

Cox, I. Jane, Ramazan Idılman, Andrew Fagan, et al.. (2019). Metabolomics and microbial composition increase insight into the impact of dietary differences in cirrhosis. Liver International. 40(2). 416–427. 17 indexed citations

Bajaj, Jasmohan S., Ramazan Idılman, Andrew Fagan, et al.. (2018). Diet affects gut microbiota and modulates hospitalization risk differentially in an international cirrhosis cohort. Hepatology. 68(1). 234–247. 90 indexed citations

Bajaj, Jasmohan S., Ramazan Idılman, Andrew Fagan, et al.. (2018). Diet affects gut microbiota and modulates hospitalization risk differentially in an international cirrhosis cohort. Journal of Hepatology. 68. S12–S13. 6 indexed citations

Bajaj, Jasmohan S., Andrew Fagan, Edith Gavis, et al.. (2018). Tu1512 - Proton Pump Inhibitor Initiation and Withdrawal can Modulate Gut Microbiota in Patients with Decompensated Cirrhosis. Gastroenterology. 154(6). S–948. 1 indexed citations

Bajaj, Jasmohan S., Genta Kakiyama, I. Jane Cox, et al.. (2018). Alterations in gut microbial function following liver transplant. Liver Transplantation. 24(6). 752–761. 60 indexed citations

Bajaj, Jasmohan S., Zain Kassam, Andrew Fagan, et al.. (2017). Fecal microbiota transplant from a rational stool donor improves hepatic encephalopathy: A randomized clinical trial. Hepatology. 66(6). 1727–1738. 439 indexed citations breakdown →

10.

Bajaj, Jasmohan S., Genta Kakiyama, Derrick Zhao, et al.. (2017). Continued Alcohol Misuse in Human Cirrhosis is Associated with an Impaired Gut–Liver Axis. Alcoholism Clinical and Experimental Research. 41(11). 1857–1865. 92 indexed citations

11.

Bajaj, Jasmohan S., Eric Liu, Andrew Fagan, et al.. (2017). Fungal dysbiosis in cirrhosis. Gut. 67(6). 1146–1154. 117 indexed citations

12.

Bajaj, Jasmohan S., Naga S. Betrapally, Phillip B. Hylemon, et al.. (2015). Gut Microbiota Alterations can predict Hospitalizations in Cirrhosis Independent of Diabetes Mellitus. Scientific Reports. 5(1). 18559–18559. 67 indexed citations

13.

Ahluwalia, Vishwadeep, James B. Wade, F. Gerard Moeller, et al.. (2015). The etiology of cirrhosis is a strong determinant of brain reserve: A multimodal magnetic resonance imaging study. Liver Transplantation. 21(9). 1123–1132. 42 indexed citations

14.

Bell, Debulon E., et al.. (2009). 177 GASTROINTESTINAL ADVERSE EFFECTS OF LACTULOSE CAN PRECIPITATE RECURRENT HEPATIC ENCEPHALOPATHY THROUGH NON-COMPLIANCE OR OVERUSE. Journal of Hepatology. 50. S74–S74. 1 indexed citations

15.

Habib, Adil, Souheil G. Abou‐Assi, Anastasios A. Mihas, et al.. (2003). HDL cholesterol is an indicator of liver function and prognosis in advanced cirrhosis. Gastroenterology. 124(4). A28–A29. 1 indexed citations

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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