Debra M. Vinci

1.9k citations
39 papers · 1.4k indexed · h-index 16
Topics
Muscle metabolism and nutrition (19 papers)Exercise and Physiological Responses (19 papers)Sports Performance and Training (7 papers)
Partner nations
United StatesSerbiaQatar

In The Last Decade

Debra M. Vinci

38 papers receiving 1.4k citations

Peers

Debra M. Vinci
Comparison fields: 5 of 106
  • Rehabilitation 997
  • Cell Biology 588
  • Physiology 539
  • Orthopedics and Sports Medicine 232
  • Complementary and alternative medicine 221
Replace D.C. Nieman with:
D.C. Nieman United States
D. A. Henson United States
L M Castell United Kingdom
Damien J. Angus Australia
Timothy P. Scheett United States
Oliver Neubauer Austria
Franchek Drobnic Spain
Katerina Skenderi Greece
Janneau van Kranenburg Netherlands
Stephen F. Crouse United States
Debra M. Vinci relative to D.C. Nieman United States D.C. Nieman's profile →
Citations per field
00.5×1.5×
D.C. Nieman · 1×
Citations per year

Countries citing papers authored by Debra M. Vinci

Since Specialization
Citations

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

Fields of papers citing papers by Debra M. Vinci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Debra M. Vinci. 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 Debra M. Vinci. The network helps show where Debra M. Vinci may publish in the future.

Co-authorship network of co-authors of Debra M. Vinci

This figure shows the co-authorship network connecting the top 25 collaborators of Debra M. Vinci. A scholar is included among the top collaborators of Debra M. Vinci based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Debra M. Vinci. Debra M. Vinci is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 6
2 2
3 26
4 19
5 2
6 5
7 101
8 137
9 27
10 19
11 33
12 40
13 20
14 6
15 130
16 158
17 63
18 1
19 23
20 12

About Debra M. Vinci

Debra M. Vinci is a scholar working on Rehabilitation, Cell Biology and Orthopedics and Sports Medicine, having authored 39 papers that have together received 1.4k indexed citations. Recurring topics across this work include Muscle metabolism and nutrition (19 papers), Exercise and Physiological Responses (19 papers) and Sports Performance and Training (7 papers). The work is most often cited by research in Rehabilitation (997 citations), Cell Biology (588 citations) and Complementary and alternative medicine (221 citations). Debra M. Vinci has collaborated with scholars based in United States, Serbia and Qatar. Frequent co-authors include David C. Nieman, Alan C. Utter, Dru A. Henson, D. A. Henson, Charles L. Dumke, Max Shute, James A. Carson, J. Mark Davis, Steven R. McAnulty and L. McAnulty. Their work appears in journals such as Journal of Applied Physiology, Medicine & Science in Sports & Exercise and European Journal of Applied 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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