L. C. Moore

48 papers receiving 1.2k citations

Peers

L. C. Moore
Comparison fields: 5 of 111
  • Nephrology 176
  • Endocrine and Autonomic Systems 144
  • Mathematical Physics 169
  • Transplantation 51
  • Pharmacology 300
Replace Klaus Thomsen with:
Klaus Thomsen Denmark
Csaba Varga Hungary
Stephen A. Williams United States
Matthias Keller Germany
László Kovács Hungary
Garret J. Etgen United States
Paul P. Leyssac Denmark
Martin Beibel Switzerland
Akira Fujiki Japan
Jeppe Sturis United States
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 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997318
2 1990104
3 199167
4 198059
5 197950
6
Cyclosporine and the renin-angiotensin system.
199147
7 198745
8 197238
9 199336
10 199335
11 198435
12 199535
13 199433
14 198732
15 199130
16
AT1 receptor inhibition blunts angiotensin II-stimulated nitric oxide release in renal arteries.
199926
17 200625
18 200921
19 196721
20 198620

About L. C. Moore

L. C. Moore is a scholar working on Mathematical Physics, Physiology, Cardiology and Cardiovascular Medicine, Pediatrics, Perinatology and Child Health and Molecular Biology, having authored 50 papers that have together received 1.3k indexed citations. Recurring topics across this work include Mathematical and Theoretical Analysis (11 papers), Nitric Oxide and Endothelin Effects (11 papers), Advanced Topology and Set Theory (7 papers), Advanced Banach Space Theory (7 papers), Renin-Angiotensin System Studies (5 papers), Electrolyte and hormonal disorders (5 papers), Ion Transport and Channel Regulation (5 papers) and Neurological Complications and Syndromes (4 papers). The work is most often cited by research in Nephrology (176 citations), Endocrine and Autonomic Systems (144 citations), Mathematical Physics (169 citations), Transplantation (51 citations) and Pharmacology (300 citations). L. C. Moore has collaborated with scholars based in United States, France and Sweden. Frequent co-authors include Daniel Casellas, Michael S. Goligorsky, C. Ward Henson, Harold E. Layton, Christian Thorup, DJ Marsh, Sanjoy Das, Sudhansu K. Dey, George B. Stefano and Frederick J. Kaskel. 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 Journal of Symbolic Logic.

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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