Stephen Hollingworth

3.4k citations
49 papers · 2.9k indexed · h-index 27
Topics
Ion channel regulation and function (33 papers)Muscle activation and electromyography studies (19 papers)Neuroscience and Neural Engineering (19 papers)

In The Last Decade

Stephen Hollingworth

49 papers receiving 2.9k citations

Peers

Stephen Hollingworth
Comparison fields: 5 of 116
  • Molecular Biology 2.1k
  • Cellular and Molecular Neuroscience 1.3k
  • Cardiology and Cardiovascular Medicine 816
  • Biomedical Engineering 680
  • Physiology 327
Replace Stephen M. Baylor with:
Stephen M. Baylor United States
Yoheved Berwald‐Netter France
John H. Caldwell United States
Christopher Ashley United Kingdom
Phillip G. Nelson United States
Arthur Hess United States
Veit Witzemann Germany
Dominik Oliver Germany
Shigeki Yuasa Japan
Hans‐Günther Knaus Austria
Stephen Hollingworth relative to Stephen M. Baylor United States Stephen M. Baylor's profile →
Citations per field
00.5×1.5×
Stephen M. Baylor · 1×
Citations per year

Countries citing papers authored by Stephen Hollingworth

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Hollingworth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Hollingworth

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Hollingworth. A scholar is included among the top collaborators of Stephen Hollingworth 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 Hollingworth. Stephen Hollingworth 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 11
2 29
3 8
4 1
5 1
6 23
7 16
8 51
9 36
10 38
11 24
12 31
13 203
14 73
15 123
16 47
17 26
18 10
19 45
20 321

About Stephen Hollingworth

Stephen Hollingworth is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Biomedical Engineering, having authored 49 papers that have together received 2.9k indexed citations. Recurring topics across this work include Ion channel regulation and function (33 papers), Muscle activation and electromyography studies (19 papers) and Neuroscience and Neural Engineering (19 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.3k citations), Cardiology and Cardiovascular Medicine (816 citations) and Molecular Biology (2.1k citations). Stephen Hollingworth has collaborated with scholars based in United States, United Kingdom and New Zealand. Frequent co-authors include Stephen M. Baylor, Masato Konishi, Michael W. Marshall, A. Olson, Meng‐Qiang Zhao, W K Chandler, Lawrence C. Rome, Amy B. Harkins, Yale E. Goldman and Aaron F. Straight. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Cell Biology and The Journal of 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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