Harold E. Layton

2.3k citations
56 papers · 1.6k · h-index 26

Impact in

Papers in

Harold E. Layton

55 papers receiving 1.5k citations

Peers

Harold E. Layton
Comparison fields: 5 of 123
  • Nephrology 442
  • Pulmonary and Respiratory Medicine 434
  • Urology 85
  • Endocrine and Autonomic Systems 89
  • Molecular Biology 728
Replace Sophie Thomas with:
Sophie Thomas France
Leon C. Moore United States
Paul P. Leyssac Denmark
Peter K. Moore United States
Valmik Bhargava United States
John L. Stephenson United States
L. C. Moore United States
Douglas J. Smith United States
Ralf Mrowka Germany
K. Yoshitomi Japan
Harold E. Layton relative to Sophie Thomas France Sophie Thomas's profile →
Citations per field
00.5×1.5×
Sophie Thomas · 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 21 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 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009155
2 201384
3 200570
4 199167
5 199867
6 201362
7 201860
8 200858
9 200454
10 198654
11 199645
12 200540
13 200539
14 201938
15 201035
16 200935
17 199334
18 200933
19 201033
20 199733

About Harold E. Layton

Harold E. Layton is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Computer Networks and Communications, Nephrology and Computational Mechanics, having authored 56 papers that have together received 1.6k indexed citations. Recurring topics across this work include Ion Transport and Channel Regulation (24 papers), Nonlinear Dynamics and Pattern Formation (12 papers), Electrolyte and hormonal disorders (12 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 stochastic dynamics and bifurcation (4 papers). The work is most often cited by research in Nephrology (442 citations), Pulmonary and Respiratory Medicine (434 citations), Urology (85 citations), Endocrine and Autonomic Systems (89 citations) and Molecular Biology (728 citations). Harold E. Layton has collaborated with scholars based in United States, Puerto Rico and Canada. Frequent co-authors include Anita T. Layton, Jeff M. Sands, Leon C. Moore, E. Bruce Pitman, Thomas L. Pannabecker, William H. Dantzler, L. C. Moore, John Davies, M. A. Knepper and Qianyi Li. 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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