L. C. Moore

50 papers receiving 1.4k citations

Peers

L. C. Moore
Comparison fields: 5 of 117
  • Nephrology 190
  • Mathematical Physics 253
  • Endocrine and Autonomic Systems 144
  • Transplantation 54
  • Theoretical Computer Science 27
Replace Klaus Thomsen with:
Klaus Thomsen Denmark
Stephen A. Williams United States
Csaba Varga Hungary
Matthias Keller Germany
David M. Foster United States
Akira Fujiki Japan
Garret J. Etgen United States
Kenneth Rosen United States
Martin Beibel Switzerland
Jeppe Sturis Denmark
L. C. Moore relative to Klaus Thomsen Denmark Klaus Thomsen's profile →
Citations per field
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Citations per year

Countries citing papers authored by L. C. Moore

Since Specialization
Citations

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

Fields of papers citing papers by L. C. Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L. C. Moore. 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 L. C. Moore. The network helps show where L. C. Moore may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997325
2 1990113
3 199175
4 198070
5 197958
6 198357
7 198756
8
Cyclosporine and the renin-angiotensin system.
199149
9 197246
10 198443
11 199439
12 199338
13 198737
14 199337
15 199536
16 199135
17 200629
18 198626
19
AT1 receptor inhibition blunts angiotensin II-stimulated nitric oxide release in renal arteries.
199926
20 198923

About L. C. Moore

L. C. Moore is a scholar working on Mathematical Physics, Physiology, Geometry and Topology, Cardiology and Cardiovascular Medicine and Pediatrics, Perinatology and Child Health, having authored 52 papers that have together received 1.6k indexed citations. Recurring topics across this work include Mathematical and Theoretical Analysis (13 papers), Nitric Oxide and Endothelin Effects (11 papers), Advanced Topology and Set Theory (9 papers), Advanced Banach Space Theory (7 papers), Renin-Angiotensin System Studies (5 papers), Ion Transport and Channel Regulation (5 papers), Electrolyte and hormonal disorders (5 papers) and Chronic Kidney Disease and Diabetes (4 papers). The work is most often cited by research in Nephrology (190 citations), Mathematical Physics (253 citations), Endocrine and Autonomic Systems (144 citations), Transplantation (54 citations) and Theoretical Computer Science (27 citations). L. C. Moore has collaborated with scholars based in United States, France and Bulgaria. Frequent co-authors include Daniel Casellas, C. Ward Henson, Michael S. Goligorsky, Harold E. Layton, Christian Thorup, DJ Marsh, Justin C. Mason, E. Bruce Pitman, Frederick J. Kaskel and George B. Stefano. Their work appears in journals such as American Journal of Physiology-Renal Physiology, Duke Mathematical Journal, Transactions of the American Mathematical Society, Journal of the American Society of Nephrology and Lecture notes in mathematics.

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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