Franz M. Matschinsky

22.8k citations
279 papers · 17.7k indexed · 4 hit papers · h-index 72
Topics
Pancreatic function and diabetes (227 papers)Metabolism, Diabetes, and Cancer (132 papers)Diabetes Management and Research (62 papers)

In The Last Decade

Franz M. Matschinsky

277 papers receiving 16.9k citations

Hit Papers

Ca2+, cAMP, and phospholipid-derived messengers in coupli...19872026200020131987199619902013200400600

Peers

Franz M. Matschinsky
Comparison fields: 5 of 150
  • Surgery 12.5k
  • Molecular Biology 9.7k
  • Endocrinology, Diabetes and Metabolism 6.8k
  • Genetics 4.6k
  • Physiology 2.6k
Replace Mark A. Magnuson with:
Mark A. Magnuson United States
Marc Prentki Canada
Claes B. Wollheim Switzerland
M. Alan Permutt United States
Patrik Rorsman Sweden
Jean‐Claude Henquin Belgium
Jesper Gromada United States
Michael B. Wheeler Canada
Barbara E. Corkey United States
C. Ronald Kahn United States
Franz M. Matschinsky relative to Mark A. Magnuson United States Mark A. Magnuson's profile →
Citations per field
00.5×1.5×
Mark A. Magnuson · 1×
Citations per year

Countries citing papers authored by Franz M. Matschinsky

Since Specialization
Citations

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

Fields of papers citing papers by Franz M. Matschinsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Franz M. Matschinsky. 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 Franz M. Matschinsky. The network helps show where Franz M. Matschinsky may publish in the future.

Co-authorship network of co-authors of Franz M. Matschinsky

This figure shows the co-authorship network connecting the top 25 collaborators of Franz M. Matschinsky. A scholar is included among the top collaborators of Franz M. Matschinsky 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 Franz M. Matschinsky. Franz M. Matschinsky 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 40
2 116
3 14
4 43
5 85
6 14
7 324
8 0
9 29
10 24
11 159
12 174
13 145
14 48
15 408
16 18
17 3
18 3
19 41
20 15

About Franz M. Matschinsky

Franz M. Matschinsky is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology, having authored 279 papers that have together received 17.7k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (227 papers), Metabolism, Diabetes, and Cancer (132 papers) and Diabetes Management and Research (62 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (6.8k citations), Surgery (12.5k citations) and Genetics (4.6k citations). Franz M. Matschinsky has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Martin D. Meglasson, Mark A. Magnuson, Marc Prentki, David F. Wilson, Nicolai M. Doliba, Yin Liang, Jeanette Ellerman, Klaus H. Kaestner, Carol Buettger and Marko Z. Vatamaniuk. Their work appears in journals such as Science, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

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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