Meagan Gray

730 citations
29 papers · 490 · h-index 9

Impact in

  • Hepatology top 5%
    • Liver Disease and Transplantation
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Hepatitis C virus research
  • Epidemiology top 10%
    • Liver Disease Diagnosis and Treatment
    • Hepatitis B Virus Studies

Papers in

    • Liver Disease Diagnosis and Treatment 17
    • Liver Disease and Transplantation 8
    • Liver Diseases and Immunity 5

Meagan Gray

24 papers receiving 481 citations

Peers

Meagan Gray
Comparison fields: 5 of 79
  • Hepatology 220
  • Epidemiology 277
  • Transplantation 17
  • Endocrinology, Diabetes and Metabolism 68
  • Cancer Research 43
Replace Ahmed Eid with:
Ahmed Eid Israel
Arianna Ferro Italy
Marta Wawrzynowicz‐Syczewska Poland
J Janica Poland
Chien‐An Sun Taiwan
Emmanuel Jacquemin France
A. Ido Japan
Klára Werling Hungary
Ester Badami Italy
Koji Yamashita Japan
Meagan Gray relative to Ahmed Eid Israel Ahmed Eid's profile →
Citations per field
00.5×7.8×
Ahmed Eid · 1×
Citations per year

Countries citing papers authored by Meagan Gray

Since Specialization
Citations

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

Fields of papers citing papers by Meagan Gray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019157
2 202089
3 200978
4 202062
5 202414
6 201911
7 202111
8 20238
9 20258
10 20238
11 20198
12 20225
13 20145
14 20225
15 20214
16 20143
17 20213
18 20132
19 20232
20 20212

About Meagan Gray

Meagan Gray is a scholar working on Epidemiology, Hepatology, Surgery, Endocrinology, Diabetes and Metabolism and Pathology and Forensic Medicine, having authored 29 papers that have together received 490 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (17 papers), Liver Disease and Transplantation (8 papers), Liver Diseases and Immunity (5 papers), Diet, Metabolism, and Disease (4 papers), Organ Transplantation Techniques and Outcomes (4 papers), Drug-Induced Hepatotoxicity and Protection (3 papers), Alcohol Consumption and Health Effects (2 papers) and Pancreatitis Pathology and Treatment (2 papers). The work is most often cited by research in Hepatology (220 citations), Epidemiology (277 citations), Transplantation (17 citations), Endocrinology, Diabetes and Metabolism (68 citations) and Cancer Research (43 citations). Meagan Gray has collaborated with scholars based in United States. Frequent co-authors include Brendan M. McGuire, Mohamed Shoreibah, Omar Massoud, Lingchong You, Stephen Payne, Hao Song, Rohit Loomba, Theresa Hydes, Sujan Ravi and Kim M. Olthoff. Their work appears in journals such as The American Journal of Gastroenterology, Clinical Gastroenterology and Hepatology, Liver International, Nutrients and Diabetes.

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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