Stephen R. Wicks

2.0k citations
14 papers · 1.5k indexed · 1 hit paper · h-index 11
Topics
Genetics, Aging, and Longevity in Model Organisms (12 papers)Circadian rhythm and melatonin (6 papers)Spaceflight effects on biology (3 papers)

In The Last Decade

Stephen R. Wicks

14 papers receiving 1.4k citations

Hit Papers

Rapid gene mapping in Caenorhabditis elegans using a high...20012026200920172001100200300400500

Peers

Stephen R. Wicks
Comparison fields: 5 of 88
  • Aging 959
  • Molecular Biology 649
  • Endocrine and Autonomic Systems 504
  • Genetics 421
  • Cellular and Molecular Neuroscience 225
Replace Hirofumi Kunitomo with:
Hirofumi Kunitomo Japan
Christelle Gally France
Carol Trent United States
Colin Thacker Canada
Young‐Jai You United States
Andrew C. Giles United States
Noëlle D. L’Étoile United States
Alexander M. van der Linden United States
Andy J. Chang United States
Martin Victor United States
Stephen R. Wicks relative to Hirofumi Kunitomo Japan Hirofumi Kunitomo's profile →
Citations per field
00.5×3.2×
Hirofumi Kunitomo · 1×
Citations per year

Countries citing papers authored by Stephen R. Wicks

Since Specialization
Citations

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

Fields of papers citing papers by Stephen R. Wicks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen R. Wicks. 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 Stephen R. Wicks. The network helps show where Stephen R. Wicks may publish in the future.

Co-authorship network of co-authors of Stephen R. Wicks

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen R. Wicks. A scholar is included among the top collaborators of Stephen R. Wicks 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 Stephen R. Wicks. Stephen R. Wicks is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 277
2
Rapid gene mapping in Caenorhabditis elegans using a high density polymorphism mapbreakdown →
536
3 158
4 69
5 11
6 3
7 31
8 32
9 39
10 6
11 113
12 5
13 179
14 22

About Stephen R. Wicks

Stephen R. Wicks is a scholar working on Aging, Endocrine and Autonomic Systems and Biological Psychiatry, having authored 14 papers that have together received 1.5k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (12 papers), Circadian rhythm and melatonin (6 papers) and Spaceflight effects on biology (3 papers). The work is most often cited by research in Aging (959 citations), Endocrine and Autonomic Systems (504 citations) and Genetics (421 citations). Stephen R. Wicks has collaborated with scholars based in Canada, Netherlands and United States. Frequent co-authors include Catharine H. Rankin, Ronald H.A. Plasterk, Warren Gish, R Waterston, Henri G.A.M. van Luenen, Oliver E. Blacque, Robert Johnsen, Philip L. Beales, Chunmei Li and Stephen J. Ansley. Their work appears in journals such as Nature Genetics, Journal of Neuroscience and Genes & Development.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026