Muriel Webb

3.2k total citations · 1 hit paper
39 papers, 2.4k citations indexed

About

Muriel Webb is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism and Pathology and Forensic Medicine. According to data from OpenAlex, Muriel Webb has authored 39 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Epidemiology, 15 papers in Endocrinology, Diabetes and Metabolism and 14 papers in Pathology and Forensic Medicine. Recurrent topics in Muriel Webb's work include Liver Disease Diagnosis and Treatment (21 papers), Diet, Metabolism, and Disease (14 papers) and Alcohol Consumption and Health Effects (11 papers). Muriel Webb is often cited by papers focused on Liver Disease Diagnosis and Treatment (21 papers), Diet, Metabolism, and Disease (14 papers) and Alcohol Consumption and Health Effects (11 papers). Muriel Webb collaborates with scholars based in Israel, United States and Italy. Muriel Webb's co-authors include Shira Zelber‐Sagi, Zamir Halpern, Ran Oren, Oren Shibolet, Dorit Nitzan, Laurie Blendis, Rebecca Goldsmith, Naomi Fliss‐Isakov, Revital Kariv and Dana Ivancovsky‐Wajcman and has published in prestigious journals such as Gastroenterology, Hepatology and Journal of Hepatology.

In The Last Decade

Muriel Webb

37 papers receiving 2.3k citations

Hit Papers

High red and processed meat consumption is associated wit... 2018 2026 2020 2023 2018 50 100 150 200

Peers

Muriel Webb
Comparison fields: 5 of 117
  • Epidemiology 1.8k
  • Endocrinology, Diabetes and Metabolism 1.2k
  • Physiology 648
  • Hepatology 517
  • Pathology and Forensic Medicine 443
Replace Amy Webb with:
Amy Webb United States
Rita Manini Italy
Chris Day United Kingdom
Ji Hye Huh South Korea
Caterina Anania Italy
R. Conde Spain
Kun Song China
Bridget Pierpont United States
Mangesh Pagadala United States
Takuya Fukuda Japan
Amy Webb United States View profile →
Citations per field, relative to Muriel Webb
Muriel Webb · 1×
Citations per year, relative to Muriel Webb
Muriel Webb · 1×

Countries citing papers authored by Muriel Webb

Since Specialization
Citations

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

Fields of papers citing papers by Muriel Webb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muriel Webb

This figure shows the co-authorship network connecting the top 25 collaborators of Muriel Webb. A scholar is included among the top collaborators of Muriel Webb 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 Muriel Webb. Muriel Webb is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 3
2 17
3 48
4 12
5 17
6 21
7 28
8 10
9
High red and processed meat consumption is associated with non-alcoholic fatty liver disease and insulin resistance breakdown →
230
10 0
11 52
12 9
13 19
14 42
15 14
16 15
17 62
18 43
19 244
20 442

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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