Daniel L. Feeback

39 papers receiving 1.9k citations

Peers

Daniel L. Feeback
Comparison fields: 5 of 130
  • Orthopedics and Sports Medicine 422
  • Physiology 963
  • Complementary and alternative medicine 233
  • Cell Biology 307
  • Rehabilitation 123
Replace Elisabeth R. Spector with:
Elisabeth R. Spector United States
Björn Alkner Sweden
James Bain United States
Danny A. Riley United States
Victor S. Schneider United States
Shigeru Katsuta Japan
Linda Maxwell New Zealand
Edwin Mulder Germany
R. E. Grindeland United States
Andrew Creer United States
Daniel L. Feeback relative to Elisabeth R. Spector United States Elisabeth R. Spector's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniel L. Feeback

Since Specialization
Citations

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

Fields of papers citing papers by Daniel L. Feeback

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel L. Feeback. 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 Daniel L. Feeback. The network helps show where Daniel L. Feeback may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004287
2 2000263
3 1998216
4 1995168
5 2014127
6 1999109
7 199092
8
Immune responses and latent herpesvirus reactivation in spaceflight.
200190
9
Alendronate as an effective countermeasure to disuse induced bone loss.
200280
10 200470
11 200063
12 199956
13 199250
14 200545
15 199532
16 200130
17 201328
18 200221
19 199821
20 200220

About Daniel L. Feeback

Daniel L. Feeback is a scholar working on Physiology, Molecular Biology, Cell Biology, Cardiology and Cardiovascular Medicine and Complementary and alternative medicine, having authored 41 papers that have together received 1.9k indexed citations. Recurring topics across this work include Spaceflight effects on biology (12 papers), Muscle metabolism and nutrition (7 papers), Cardiovascular and exercise physiology (5 papers), Muscle Physiology and Disorders (5 papers), High Altitude and Hypoxia (4 papers), Exercise and Physiological Responses (3 papers), Muscle activation and electromyography studies (3 papers) and Sports Performance and Training (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (422 citations), Physiology (963 citations), Complementary and alternative medicine (233 citations), Cell Biology (307 citations) and Rehabilitation (123 citations). Daniel L. Feeback has collaborated with scholars based in United States, Russia and Australia. Frequent co-authors include Mark S. F. Clarke, Linda Shackelford, Harlan Evans, Adrian LeBlanc, Duane L. Pierson, Marcas M. Bamman, Raymond P. Stowe, Robert W. Ogilvie, Robert J. Talmadge and Nahid Rianon. Their work appears in journals such as Journal of Applied Physiology, Nutrition, Journal of Child Neurology, Electrophoresis and Journal of the Neurological Sciences.

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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