Thomas A. Morinelli

58 papers receiving 1.6k citations

Peers

Thomas A. Morinelli
Comparison fields: 5 of 97
  • Hematology 198
  • Pharmacology 282
  • Biochemistry 125
  • Endocrinology, Diabetes and Metabolism 245
  • Genetics 155
Replace Ram Sharma with:
Ram Sharma United States
Mari Ishida Japan
Dominique Chansel France
Taku Yamamoto Japan
Hassan Salari Canada
Lubing Zhou United States
Jiro Seki Japan
Francesc González‐Sastre Spain
Miriam H. Fukami Norway
Thomas A. Morinelli United States
Thomas A. Morinelli relative to Ram Sharma United States Ram Sharma's profile →
Citations per field
00.5×1.5×1.8×
Ram Sharma · 1×
Citations per year

Countries citing papers authored by Thomas A. Morinelli

Since Specialization
Citations

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

Fields of papers citing papers by Thomas A. Morinelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas A. Morinelli. 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 Thomas A. Morinelli. The network helps show where Thomas A. Morinelli may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016168
2 1981126
3 1994102
4 1989101
5 199994
6 199677
7 199473
8 199472
9 198350
10 198848
11 199646
12 200645
13 200941
14 200241
15 198938
16 201236
17 199134
18 200128
19 199327
20 199025

About Thomas A. Morinelli

Thomas A. Morinelli is a scholar working on Molecular Biology, Pharmacology, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Genetics, having authored 59 papers that have together received 1.6k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (19 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (9 papers), Inflammatory mediators and NSAID effects (9 papers), Renal Transplantation Outcomes and Treatments (8 papers), Renin-Angiotensin System Studies (7 papers), Nitric Oxide and Endothelin Effects (6 papers), Neuropeptides and Animal Physiology (6 papers) and Hormonal and reproductive studies (5 papers). The work is most often cited by research in Hematology (198 citations), Pharmacology (282 citations), Biochemistry (125 citations), Endocrinology, Diabetes and Metabolism (245 citations) and Genetics (155 citations). Thomas A. Morinelli has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Perry V. Halushka, Michael E. Ullian, Louis M. Luttrell, Stefan Niewiarowski, Elizabeth Kornecki, Kathryn E. Meier, Mi‐Hye Lee, Marek Kloczewiak, Dale E. Mais and Rajesh S. Mathur. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, American Journal of Physiology-Cell Physiology, Journal of Biological Chemistry, American Journal of Transplantation and Biochemical Pharmacology.

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.

Explore authors with similar magnitude of impact