Michael Pimienta

664 citations
13 papers · 512 · h-index 8

Impact in

Papers in

    • Liver Disease Diagnosis and Treatment 5
    • Autophagy in Disease and Therapy 2
    • Pancreatitis Pathology and Treatment 4
    • Pancreatic function and diabetes 3

Michael Pimienta

13 papers receiving 510 citations

Peers

Michael Pimienta
Comparison fields: 5 of 68
  • Epidemiology 234
  • Pathology and Forensic Medicine 103
  • Hepatology 43
  • Cancer Research 60
  • Immunology 65
Replace Emily Huang with:
Emily Huang United States
Sorana Pisano United States
Tasuku Nakabori Japan
Prachi Hote United States
Siwei Xia China
Hirokazu Sugimoto Japan
Mike L. J. Jeurissen Netherlands
Pengbo Wu China
Koichiro Ohashi Japan
Michael Pimienta relative to Emily Huang United States Emily Huang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Michael Pimienta

Since Specialization
Citations

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

Fields of papers citing papers by Michael Pimienta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2014143
2 2018100
3 201983
4 202080
5 202244
6 201729
7 202116
8 20237
9 20224
10 20162
11 20132
12 20261
13 20161

About Michael Pimienta

Michael Pimienta is a scholar working on Epidemiology, Surgery, Immunology, Pathology and Forensic Medicine and Oncology, having authored 13 papers that have together received 512 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (5 papers), Pancreatitis Pathology and Treatment (4 papers), Phagocytosis and Immune Regulation (4 papers), Alcohol Consumption and Health Effects (3 papers), Pancreatic function and diabetes (3 papers), Pancreatic and Hepatic Oncology Research (2 papers), Diet, Metabolism, and Disease (2 papers) and Autophagy in Disease and Therapy (2 papers). The work is most often cited by research in Epidemiology (234 citations), Pathology and Forensic Medicine (103 citations), Hepatology (43 citations), Cancer Research (60 citations) and Immunology (65 citations). Michael Pimienta has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Ekihiro Seki, Koichiro Ohashi, Stephen J. Pandol, Sophie Gretler, Anna S. Gukovskaya, Olga A. Mareninova, Ilya Gukovsky, Guy E. Groblewski, Wenzhuo Jia and Diana D.H. Thomas. Their work appears in journals such as Inflammatory Bowel Diseases, Gastroenterology, Autophagy, Clinical Gastroenterology and Hepatology and Journal of Clinical Investigation.

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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