James R. Florini

8.4k citations
94 papers · 7.1k indexed · 2 hit papers · h-index 43
Topics
Muscle Physiology and Disorders (39 papers)Growth Hormone and Insulin-like Growth Factors (18 papers)Muscle metabolism and nutrition (17 papers)
Partner nations
United States

In The Last Decade

James R. Florini

94 papers receiving 6.6k citations

Hit Papers

Growth Hormone and the Insulin-Like Growth Factor System ...199620262006201619961997250500750

Peers

James R. Florini
Comparison fields: 5 of 142
  • Molecular Biology 4.9k
  • Endocrinology, Diabetes and Metabolism 1.9k
  • Cell Biology 1.4k
  • Physiology 1.0k
  • Genetics 827
Replace L T Williams with:
L T Williams United States
Kazuhiro Eto Japan
E. R. Froesch Switzerland
Donald R. Love New Zealand
Christian Dani France
Ez‐Zoubir Amri France
María Moreno Italy
R Humbel Switzerland
Kristine E. Kamm United States
Friedrich Beermann Switzerland
James R. Florini relative to L T Williams United States L T Williams's profile →
Citations per field
00.5×3.5×
L T Williams · 1×
Citations per year

Countries citing papers authored by James R. Florini

Since Specialization
Citations

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

Fields of papers citing papers by James R. Florini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James R. Florini

This figure shows the co-authorship network connecting the top 25 collaborators of James R. Florini. A scholar is included among the top collaborators of James R. Florini 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 R. Florini. James R. Florini 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
1 102
2 31
3
The Mitogenic and Myogenic Actions of Insulin-like Growth Factors Utilize Distinct Signaling Pathwaysbreakdown →
563
4 55
5 13
6 59
7 88
8 218
9 358
10 17
11 42
12 13
13 255
14 43
15 26
16 8
17 26
18 8
19 18
20 17

About James R. Florini

James R. Florini is a scholar working on Endocrinology, Diabetes and Metabolism, Cell Biology and Molecular Biology, having authored 94 papers that have together received 7.1k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (39 papers), Growth Hormone and Insulin-like Growth Factors (18 papers) and Muscle metabolism and nutrition (17 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.9k citations), Cell Biology (1.4k citations) and Molecular Biology (4.9k citations). James R. Florini has collaborated with scholars based in United States. Frequent co-authors include Daina Z. Ewton, Sharon A. Coolican, K. A. Magri, Carl S. Vestling, Charles B. Breuer, Michael W. Neal, Bradley G. Erwin, M. Linda Powers, Kent K. Grindstaff and Peter Rotwein. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Cell Biology and Endocrine Reviews.

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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