William McLamb

741 citations
7 papers · 241 · h-index 4

Impact in

  • Aging top 10%
    • Genetics, Aging, and Longevity in Model Organisms
    • 3D Printing in Biomedical Research
    • Innovative Microfluidic and Catalytic Techniques Innovation
    • Microfluidic and Capillary Electrophoresis Applications
    • Microfluidic and Bio-sensing Technologies

Papers in

William McLamb

7 papers receiving 237 citations

Peers

William McLamb
Comparison fields: 5 of 61
  • Aging 37
  • Biomedical Engineering 127
  • Physiology 13
  • Cellular and Molecular Neuroscience 47
  • Physiology 62
Replace Sonja Brungs with:
Sonja Brungs Germany
Moon-Yong Cha United States
Taihei Fujimori Japan
Deqiang Lu China
Xiaohua Su Japan
Falshruti B. Patel United States
I Christoph United States
Ondřej Lukšan Czechia
Ann Shirley‐Henderson United States
Ashwin Seetharaman Canada
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Citations per field
00.5×7.8×
Sonja Brungs · 1×
Citations per year

Countries citing papers authored by William McLamb

Since Specialization
Citations

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

Fields of papers citing papers by William McLamb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William McLamb. 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 William McLamb. The network helps show where William McLamb may publish in the future.

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2014102
2 200549
3 201546
4 200537
5 20033
6 20053
7 20061

About William McLamb

William McLamb is a scholar working on Physiology, Biomedical Engineering, Cellular and Molecular Neuroscience, Astronomy and Astrophysics and Aging, having authored 7 papers that have together received 241 indexed citations. Recurring topics across this work include Spaceflight effects on biology (3 papers), Space Science and Extraterrestrial Life (2 papers), Neuroscience and Neural Engineering (2 papers), 3D Printing in Biomedical Research (2 papers), Microfluidic and Bio-sensing Technologies (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Cardiac electrophysiology and arrhythmias (1 paper) and Spacecraft and Cryogenic Technologies (1 paper). The work is most often cited by research in Aging (37 citations), Biomedical Engineering (127 citations), Physiology (13 citations), Cellular and Molecular Neuroscience (47 citations) and Physiology (62 citations). William McLamb has collaborated with scholars based in United States, Hungary and South Korea. Frequent co-authors include James J. Hickman, Mandy B. Esch, Michael L. Shuler, Balaji Srinivasan, Jong Hwan Sung, David W. Reed, Nathaniel J. Szewczyk, Catharine A. Conley, Baruch S. Blumberg and Rocco L. Mancinelli. Their work appears in journals such as Experimental Biology and Medicine, Astrobiology, SAE technical papers on CD-ROM/SAE technical paper series, Biomaterials and Acta Astronautica.

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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