M Sàbat

1.9k citations
44 papers · 1.3k · h-index 16

Impact in

Papers in

    • Pancreatic function and diabetes 14
    • Xenotransplantation and immune response 4
    • Diabetes and associated disorders 8
    • Inflammatory Bowel Disease 4

M Sàbat

44 papers receiving 1.2k citations

Peers

M Sàbat
Comparison fields: 5 of 86
  • Hepatology 468
  • Gastroenterology 110
  • Epidemiology 382
  • Infectious Diseases 182
  • Surgery 276
Replace Francisco Bosques‐Padilla with:
Francisco Bosques‐Padilla Mexico
Kristian Holm Norway
Johan Gagnière France
Rakesh K. Tandon India
Jacques Sarles France
Adolfo Suárez Spain
Patricia P. Bloom United States
Jelica Kurtovic Australia
Simon Mark Dahl Baunwall Denmark
Vandana Midha India
M Sàbat relative to Francisco Bosques‐Padilla Mexico Francisco Bosques‐Padilla's profile →
Citations per field
00.5×1.5×2.4×
Francisco Bosques‐Padilla · 1×
Citations per year

Countries citing papers authored by M Sàbat

Since Specialization
Citations

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

Fields of papers citing papers by M Sàbat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018155
2 1997144
3 2015113
4 2014112
5 1999103
6 200099
7 200192
8 201585
9 199971
10 201563
11 199829
12 201629
13 202221
14 199821
15 199720
16 202116
17 202013
18 202010
19 19989
20 19998

About M Sàbat

M Sàbat is a scholar working on Surgery, Genetics, Hepatology, Molecular Biology and Epidemiology, having authored 44 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (14 papers), Liver Disease and Transplantation (12 papers), Diabetes and associated disorders (8 papers), Gut microbiota and health (5 papers), Xenotransplantation and immune response (4 papers), Inflammatory Bowel Disease (4 papers), Microscopic Colitis (3 papers) and Diabetes Management and Research (2 papers). The work is most often cited by research in Hepatology (468 citations), Gastroenterology (110 citations), Epidemiology (382 citations), Infectious Diseases (182 citations) and Surgery (276 citations). M Sàbat has collaborated with scholars based in Spain, Poland and United Kingdom. Frequent co-authors include Mireia López‐Siles, Margarita Martínez-Medina, Xavier Aldeguer, L. J. Garcia‐Gil, Sylvia H. Duncan, Germán Soriano, Jordí Ortiz, Carlos Guarner, Harry J. Flint and María Novella. Their work appears in journals such as Gastroenterology, Journal of Hepatology, Hepatology, PLoS ONE and Inflammatory Bowel Diseases.

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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