Stephen W. Byers

10.5k citations
138 papers · 8.3k indexed · 2 hit papers · h-index 47
Topics
Wnt/β-catenin signaling in development and cancer (30 papers)Cancer-related gene regulation (23 papers)Sperm and Testicular Function (16 papers)
Partner nations
United StatesChinaCanada

In The Last Decade

Stephen W. Byers

136 papers receiving 8.1k citations

Hit Papers

Serine Phosphorylation-regulated Ubiquitination and Degra...198520261998201219971985200400600

Peers

Stephen W. Byers
Comparison fields: 5 of 164
  • Molecular Biology 5.2k
  • Oncology 1.9k
  • Cancer Research 1.3k
  • Genetics 1.1k
  • Reproductive Medicine 919
Replace David E. Misek with:
David E. Misek United States
Rakesh Kumar United States
Toyomasa Katagiri Japan
Dieter Marmé Germany
Robert J. Matusik United States
Viji Shridhar United States
Alfonso Bellacosa United States
Yiling Lu United States
Rakesh Kumar United States
Neil A. Bhowmick United States
Stephen W. Byers relative to David E. Misek United States David E. Misek's profile →
Citations per field
00.5×1.5×1.9×
David E. Misek · 1×
Citations per year

Countries citing papers authored by Stephen W. Byers

Since Specialization
Citations

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

Fields of papers citing papers by Stephen W. Byers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen W. Byers

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen W. Byers. A scholar is included among the top collaborators of Stephen W. Byers 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 W. Byers. Stephen W. Byers 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 3
3 47
4 24
5 35
6 37
7 8
8 14
9 27
10 43
11 1
12 122
13 131
14 202
15 11
16
Differentiation state and invasiveness of human breast cancer cell lines
7
17 22
18 238
19 19
20 9

About Stephen W. Byers

Stephen W. Byers is a scholar working on Reproductive Medicine, Oncology and Molecular Biology, having authored 138 papers that have together received 8.3k indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (30 papers), Cancer-related gene regulation (23 papers) and Sperm and Testicular Function (16 papers). The work is most often cited by research in Reproductive Medicine (919 citations), Cancer Research (1.3k citations) and Immunology and Allergy (488 citations). Stephen W. Byers has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Edward P. Gelmann, Martin Dym, Keith Orford, Mark A. Hadley, Allan M. Weissman, Hynda K. Kleinman, Jane P. Jensen, Michael J. Pishvaian, Sivanesan Dakshanamurthy and Carlos A. Suárez‐Quian. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Medicine.

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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