Michael P. Morran

17 papers receiving 716 citations

Peers

Michael P. Morran
Comparison fields: 5 of 119
  • Endocrinology, Diabetes and Metabolism 155
  • Genetics 217
  • Infectious Diseases 143
  • Immunology 142
  • Modeling and Simulation 22
Replace Endeshaw Chekol Abebe with:
Endeshaw Chekol Abebe Ethiopia
Grażyna Rydzewska Poland
Anne R. Rentfro United States
Seung Woo Kim South Korea
Rubina Yasmin Bangladesh
Shitao Rao China
Jeffrey A. SoRelle United States
L. Kathryn Durham United States
Melanie Rodacki Brazil
Minhui Dai China
Michael P. Morran relative to Endeshaw Chekol Abebe Ethiopia Endeshaw Chekol Abebe's profile →
Citations per field
00.5×5.7×
Endeshaw Chekol Abebe · 1×
Citations per year

Countries citing papers authored by Michael P. Morran

Since Specialization
Citations

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

Fields of papers citing papers by Michael P. Morran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2020303
2 2006111
3 2015105
4 202070
5 200841
6 201031
7 201726
8 200914
9 201214
10 201912
11 20197
12 20085
13 20183
14 20212
15 20212
16 20092
17 20241
18 20240

About Michael P. Morran

Michael P. Morran is a scholar working on Genetics, Surgery, Endocrinology, Diabetes and Metabolism, Immunology and Molecular Biology, having authored 18 papers that have together received 749 indexed citations. Recurring topics across this work include Diabetes and associated disorders (11 papers), Pancreatic function and diabetes (8 papers), Diabetes Management and Research (6 papers), Immune Cell Function and Interaction (4 papers), Immune Response and Inflammation (3 papers), Advanced Glycation End Products research (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (155 citations), Genetics (217 citations), Infectious Diseases (143 citations), Immunology (142 citations) and Modeling and Simulation (22 citations). Michael P. Morran has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Andrea L. Nestor‐Kalinoski, Massimo Pietropaolo, Anmar Khadra, Marcia F. McInerney, Brandon D. Slotterbeck, Gilbert S. Omenn, Soon–Cheol Hong, Mohammad K. Mohammad, Douglas W. Leaman and Hermann von Grafenstein. Their work appears in journals such as Physiological Genomics, Journal of Biological Chemistry, Endocrinology, Pediatric Diabetes 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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