Harold E. Layton

2.3k citations
63 papers · 1.8k · h-index 27

Impact in

Papers in

Harold E. Layton

61 papers receiving 1.7k citations

Peers

Harold E. Layton
Comparison fields: 5 of 127
  • Nephrology 474
  • Pulmonary and Respiratory Medicine 508
  • Urology 91
  • Endocrine and Autonomic Systems 94
  • Molecular Biology 831
Replace Leon C. Moore with:
Leon C. Moore United States
Alan M. Weinstein United States
Kay‐Pong Yip United States
Joseph Wiener United States
Koji Yoshitomi Japan
John L. Stephenson United States
Ralf Mrowka Germany
Peter K. Moore United States
L. C. Moore United States
Domingo M. Gómez United States
Harold E. Layton relative to Leon C. Moore United States Leon C. Moore's profile →
Citations per field
00.5×2×3×4.0×
Leon C. Moore · 1×
Citations per year

Countries citing papers authored by Harold E. Layton

Since Specialization
Citations

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

Fields of papers citing papers by Harold E. Layton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Harold E. Layton. 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 Harold E. Layton. The network helps show where Harold E. Layton may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009165
2 201390
3 199876
4 200575
5 199173
6 201368
7 201863
8 200462
9 200860
10 198660
11 199651
12 200544
13 201941
14 200541
15 199339
16 201038
17 200936
18 199434
19 201034
20 201033

About Harold E. Layton

Harold E. Layton is a scholar working on Nephrology, Pulmonary and Respiratory Medicine, Computer Networks and Communications, Molecular Biology and Statistical and Nonlinear Physics, having authored 63 papers that have together received 1.8k indexed citations. Recurring topics across this work include Ion Transport and Channel Regulation (29 papers), Electrolyte and hormonal disorders (16 papers), Nonlinear Dynamics and Pattern Formation (13 papers), Dialysis and Renal Disease Management (8 papers), Computational Fluid Dynamics and Aerodynamics (6 papers), Urinary Bladder and Prostate Research (5 papers), Fluid Dynamics and Turbulent Flows (5 papers) and Chronic Kidney Disease and Diabetes (4 papers). The work is most often cited by research in Nephrology (474 citations), Pulmonary and Respiratory Medicine (508 citations), Urology (91 citations), Endocrine and Autonomic Systems (94 citations) and Molecular Biology (831 citations). Harold E. Layton has collaborated with scholars based in United States, Puerto Rico and France. Frequent co-authors include Anita T. Layton, Jeff M. Sands, Leon C. Moore, Eric Bruce Pitman, Thomas Lloyd Pannabecker, William H. Dantzler, L. C. Moore, John Maelor Davies, M. A. Knepper and Chung‐Lin Chou. Their work appears in journals such as American Journal of Physiology-Renal Physiology, Bulletin of Mathematical Biology, Mathematical Biosciences, The FASEB Journal and Clinical Journal of the American Society of Nephrology.

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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