J A Hedo

2.7k citations
43 papers · 2.3k · h-index 24

Impact in

    • Growth Hormone and Insulin-like Growth Factors
    • Diabetes Treatment and Management
    • Metabolism, Diabetes, and Cancer
    • Glycosylation and Glycoproteins Research
    • Receptor Mechanisms and Signaling
    • Protein Kinase Regulation and GTPase Signaling

Papers in

J A Hedo

43 papers receiving 2.1k citations

Peers

J A Hedo
Comparison fields: 5 of 89
  • Endocrinology, Diabetes and Metabolism 638
  • Molecular Biology 1.5k
  • Surgery 854
  • Cell Biology 263
  • Physiology 356
Replace Max Fehlmann with:
Max Fehlmann France
H. Michiel J. Krans Netherlands
Yousuke Ebina Japan
Charles W. Garner United States
R J Pollet United States
Takahide Ohishi Japan
Christopher Yip Canada
S Andersson United States
Richard A. Easom United States
Mhairi C. Towler United Kingdom
J A Hedo relative to Max Fehlmann France Max Fehlmann's profile →
Citations per field
00.5×1.5×
Max Fehlmann · 1×
Citations per year

Countries citing papers authored by J A Hedo

Since Specialization
Citations

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

Fields of papers citing papers by J A Hedo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside J A Hedo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with J A Hedo Line = papers co-authored together J A Hedo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1981247
2 1981189
3 1983188
4 1982169
5 1981150
6 1981134
7 198795
8 198492
9 198282
10 197871
11 198764
12 198459
13 198258
14 198248
15 198345
16 198839
17 198339
18 197835
19 198634
20 198332

About J A Hedo

J A Hedo is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Surgery, Physiology and Genetics, having authored 43 papers that have together received 2.3k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (13 papers), Diabetes Treatment and Management (12 papers), Glycosylation and Glycoproteins Research (8 papers), Diabetes Management and Research (6 papers), Diabetes and associated disorders (6 papers), Metabolism, Diabetes, and Cancer (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Toxin Mechanisms and Immunotoxins (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (638 citations), Molecular Biology (1.5k citations), Surgery (854 citations), Cell Biology (263 citations) and Physiology (356 citations). J A Hedo has collaborated with scholars based in United States, Spain and Poland. Frequent co-authors include Masato Kasuga, Jesse Roth, C. Ronald Kahn, Kenneth M. Yamada, Len C. Harrison, Ian A. Simpson, E Van Obberghen, María Luisa Villanueva, José Marco and Phillip Görden. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Clinical Endocrinology & Metabolism, Diabetologia, Diabetes and Biochemical Journal.

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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