James C. Clemens

6.1k citations
30 papers · 4.2k indexed · 2 hit papers · h-index 22
Topics
Neurobiology and Insect Physiology Research (7 papers)Hippo pathway signaling and YAP/TAZ (7 papers)Axon Guidance and Neuronal Signaling (6 papers)
Partner nations
United StatesCanadaItaly

In The Last Decade

James C. Clemens

30 papers receiving 4.1k citations

Hit Papers

Drosophila Dscam Is an Axon Guidance Receptor Exhibiting ...200020262008201720002000250500750

Peers

James C. Clemens
Comparison fields: 5 of 114
  • Molecular Biology 2.7k
  • Cellular and Molecular Neuroscience 1.3k
  • Cell Biology 730
  • Immunology 683
  • Genetics 424
Replace Vytautas P. Bindokas with:
Vytautas P. Bindokas United States
Marco Muda United States
Kazuo Emoto Japan
Hervé Enslen France
Carolyn R. Moomaw United States
Ming Guo United States
Kim Kaiser United Kingdom
Doris Chen United States
Douglas L. Black United States
Guangwei Du United States
James C. Clemens relative to Vytautas P. Bindokas United States Vytautas P. Bindokas's profile →
Citations per field
00.5×1.5×2.1×
Vytautas P. Bindokas · 1×
Citations per year

Countries citing papers authored by James C. Clemens

Since Specialization
Citations

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

Fields of papers citing papers by James C. Clemens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James C. Clemens. 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 James C. Clemens. The network helps show where James C. Clemens may publish in the future.

Co-authorship network of co-authors of James C. Clemens

This figure shows the co-authorship network connecting the top 25 collaborators of James C. Clemens. A scholar is included among the top collaborators of James C. Clemens 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 James C. Clemens. James C. Clemens 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
Being and media: digital ontology after the event of the end of media
3
2 20
3 10
4 13
5 36
6 271
7 136
8 73
9 245
10 177
11 175
12 46
13 64
14 7
15 141
16 44
17 62
18 126
19 76
20 17

About James C. Clemens

James C. Clemens is a scholar working on Cellular and Molecular Neuroscience, Aging and Cell Biology, having authored 30 papers that have together received 4.2k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (7 papers), Hippo pathway signaling and YAP/TAZ (7 papers) and Axon Guidance and Neuronal Signaling (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.3k citations), Aging (92 citations) and Cell Biology (730 citations). James C. Clemens has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Jack E. Dixon, S Lawrence Zipursky, Marco Muda, Carolyn A. Worby, John J. Flanagan, Brian A. Hemmings, Tomohiko Maehama, Jian Xiao, Huidy Shu and Dietmar Schmucker. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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