John J. Castellot

5.4k citations
77 papers · 4.4k indexed · h-index 36
Topics
Proteoglycans and glycosaminoglycans research (22 papers)Protease and Inhibitor Mechanisms (18 papers)Connective Tissue Growth Factor Research (15 papers)
Partner nations
United StatesItalyFrance

In The Last Decade

John J. Castellot

76 papers receiving 4.3k citations

Peers

John J. Castellot
Comparison fields: 5 of 135
  • Molecular Biology 2.3k
  • Cell Biology 1.3k
  • Cancer Research 746
  • Physiology 610
  • Surgery 572
Replace Åke Wasteson with:
Åke Wasteson Sweden
Tet-Kin Yeo United States
Giuseppe Pintucci United States
John Hood United States
Toshihiko Terao Japan
Stefania Mitola Italy
Christopher Reilly United States
Colin N. Chesterman Australia
Jaehyung Cho United States
William Hornebeck France
John J. Castellot relative to Åke Wasteson Sweden Åke Wasteson's profile →
Citations per field
00.5×4.9×
Åke Wasteson · 1×
Citations per year

Countries citing papers authored by John J. Castellot

Since Specialization
Citations

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

Fields of papers citing papers by John J. Castellot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John J. Castellot. 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 John J. Castellot. The network helps show where John J. Castellot may publish in the future.

Co-authorship network of co-authors of John J. Castellot

This figure shows the co-authorship network connecting the top 25 collaborators of John J. Castellot. A scholar is included among the top collaborators of John J. Castellot 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 John J. Castellot. John J. Castellot 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 10
2 16
3 105
4 29
5 27
6 55
7 26
8 14
9 44
10 9
11 18
12 27
13 8
14 24
15 14
16 11
17 116
18 102
19 58
20 4

About John J. Castellot

John J. Castellot is a scholar working on Cell Biology, Cancer Research and Immunology and Allergy, having authored 77 papers that have together received 4.4k indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (22 papers), Protease and Inhibitor Mechanisms (18 papers) and Connective Tissue Growth Factor Research (15 papers). The work is most often cited by research in Immunology and Allergy (523 citations), Cell Biology (1.3k citations) and Cancer Research (746 citations). John J. Castellot has collaborated with scholars based in United States, Italy and France. Frequent co-authors include Morris J. Karnovsky, Thomas C. Wright, Michael R. Miller, Arthur B. Pardee, Bruce M. Spiegelman, Robert Rosenberg, Benjamin Caleb, M J Karnovsky, David L. Cochran and Leonard Favreau. 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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