Sandra G. Velleman

3.8k citations
149 papers · 3.0k indexed · h-index 31
Topics
Muscle Physiology and Disorders (82 papers)Animal Nutrition and Physiology (44 papers)Proteoglycans and glycosaminoglycans research (30 papers)

In The Last Decade

Sandra G. Velleman

145 papers receiving 3.0k citations

Peers

Sandra G. Velleman
Comparison fields: 5 of 104
  • Molecular Biology 1.6k
  • Animal Science and Zoology 1.3k
  • Genetics 601
  • Cell Biology 479
  • Physiology 452
Replace Takanori Nishimura with:
Takanori Nishimura Japan
W.R. Dayton United States
François Ménissier France
Juliette Riquet France
Dimitri Pirottin Belgium
Douglas C. McFarland United States
Luc Grobet Belgium
P.A.L. Wight United States
Walter T. Dixon Canada
Jason W. Ross United States
Sandra G. Velleman relative to Takanori Nishimura Japan Takanori Nishimura's profile →
Citations per field
00.5×1.5×2.4×
Takanori Nishimura · 1×
Citations per year

Countries citing papers authored by Sandra G. Velleman

Since Specialization
Citations

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

Fields of papers citing papers by Sandra G. Velleman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sandra G. Velleman. 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 Sandra G. Velleman. The network helps show where Sandra G. Velleman may publish in the future.

Co-authorship network of co-authors of Sandra G. Velleman

This figure shows the co-authorship network connecting the top 25 collaborators of Sandra G. Velleman. A scholar is included among the top collaborators of Sandra G. Velleman 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 Sandra G. Velleman. Sandra G. Velleman 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 1
2 5
3 7
4 9
5 9
6 4
7 18
8 14
9 21
10 16
11 76
12 31
13 23
14 9
15 16
16 29
17 9
18 5
19 11
20 69

About Sandra G. Velleman

Sandra G. Velleman is a scholar working on Animal Science and Zoology, Cell Biology and Immunology and Allergy, having authored 149 papers that have together received 3.0k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (82 papers), Animal Nutrition and Physiology (44 papers) and Proteoglycans and glycosaminoglycans research (30 papers). The work is most often cited by research in Animal Science and Zoology (1.3k citations), Cell Biology (479 citations) and Molecular Biology (1.6k citations). Sandra G. Velleman has collaborated with scholars based in United States, Australia and Israel. Frequent co-authors include Douglas C. McFarland, Daniel Clark, Cynthia S. Coy, Gale M. Strasburg, Kent M. Reed, Yan Song, K.E. Nestor, Orna Halevy, S. Yahav and Michael V. Dodson. Their work appears in journals such as PLoS ONE, The Journal of Comparative Neurology and Biochemical and Biophysical Research Communications.

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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