Fred S. Lamb

93 papers receiving 2.8k citations

Peers

Fred S. Lamb
Comparison fields: 5 of 115
  • Cellular and Molecular Neuroscience 498
  • Physiology 645
  • Sensory Systems 121
  • Cardiology and Cardiovascular Medicine 481
  • Immunology 439
Replace Yukio Tanizawa with:
Yukio Tanizawa Japan
Volkmar Groß Germany
Robert F. Spurney United States
Kunio Ishii Japan
Laurent Loufrani France
Håvard Attramadal Norway
Masayuki Tanemoto Japan
Jianping Jin United States
Anikó Náray‐Fejes‐Tóth United States
Johannes Loffing Switzerland
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Citations per field
00.5×2.7×
Yukio Tanizawa · 1×
Citations per year

Countries citing papers authored by Fred S. Lamb

Since Specialization
Citations

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

Fields of papers citing papers by Fred S. Lamb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fred S. Lamb. 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 Fred S. Lamb. The network helps show where Fred S. Lamb may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007186
2 2006128
3 200298
4 200296
5 199889
6 200488
7 200781
8 199471
9 200668
10 198768
11 200967
12 200465
13 201062
14 199857
15 200954
16 202054
17 198453
18 201352
19 199949
20 200949

About Fred S. Lamb

Fred S. Lamb is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Physiology, Immunology and Cellular and Molecular Neuroscience, having authored 96 papers that have together received 2.8k indexed citations. Recurring topics across this work include Ion channel regulation and function (28 papers), Nitric Oxide and Endothelin Effects (20 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (18 papers), Cardiac electrophysiology and arrhythmias (15 papers), Neuroscience and Neuropharmacology Research (13 papers), Birth, Development, and Health (13 papers), Pregnancy and preeclampsia studies (10 papers) and Ion Transport and Channel Regulation (9 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (498 citations), Physiology (645 citations), Sensory Systems (121 citations), Cardiology and Cardiovascular Medicine (481 citations) and Immunology (439 citations). Fred S. Lamb has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Thomas J. Barna, R. Clinton Webb, Jessica G. Moreland, Francis J. Miller, Mohammed Filali, Kenneth A. Volk, Hyehun Choi, Jeffrey L. Segar, Thomas Scholz and Robert D. Roghair. Their work appears in journals such as American Journal of Physiology-Heart and Circulatory Physiology, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, Hypertension, Journal of Biological Chemistry and The Journal of Physiology.

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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