Jeffrey D. Smith

67 papers receiving 1.8k citations

Peers

Jeffrey D. Smith
Comparison fields: 5 of 153
  • Rehabilitation 211
  • Computer Graphics and Computer-Aided Design 92
  • Aging 46
  • Cell Biology 322
  • Physiology 510
Replace Naoki Suzuki with:
Naoki Suzuki Japan
Arrate Muñoz‐Barrutia Spain
Christopher J. Payne United Kingdom
Paul A. Iaizzo United States
Hubertus Axer Germany
Xinhua Zhang China
Philippe Bijlenga Switzerland
James S. Davidson United States
Wen Dong China
Weiguo Liu China
Jeffrey D. Smith relative to Naoki Suzuki Japan Naoki Suzuki's profile →
Citations per field
00.5×4.6×
Naoki Suzuki · 1×
Citations per year

Countries citing papers authored by Jeffrey D. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey D. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey D. Smith. 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 Jeffrey D. Smith. The network helps show where Jeffrey D. Smith may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003191
2 2009122
3 2015116
4 2011116
5 2008113
6 2009102
7 200893
8 201989
9 199872
10 200663
11 201048
12 200343
13 200142
14 200241
15 200238
16 201434
17 200134
18 199733
19 198432
20 200231

About Jeffrey D. Smith

Jeffrey D. Smith is a scholar working on Molecular Biology, Physiology, Aerospace Engineering, Social Psychology and Rehabilitation, having authored 71 papers that have together received 1.9k indexed citations. Recurring topics across this work include Spaceflight effects on biology (10 papers), Space Exploration and Technology (9 papers), Exercise and Physiological Responses (7 papers), Muscle Physiology and Disorders (6 papers), Human-Automation Interaction and Safety (5 papers), Adipose Tissue and Metabolism (4 papers), Computer Graphics and Visualization Techniques (4 papers) and Biocrusts and Microbial Ecology (3 papers). The work is most often cited by research in Rehabilitation (211 citations), Computer Graphics and Computer-Aided Design (92 citations), Aging (46 citations), Cell Biology (322 citations) and Physiology (510 citations). Jeffrey D. Smith has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Jennifer S. Moylan, Michael B. Reid, Melissa Chambers, Andrew Witkin, Wei Li, Diane M. Snow, Michael B. Reid, David Baraff, Laura Gilliam and Sandrine Arbogast. Their work appears in journals such as American Journal of Physiology-Cell Physiology, The FASEB Journal, Journal of Applied Physiology, SAE technical papers on CD-ROM/SAE technical paper series 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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