Michael P. Czech

4.3k citations
42 papers · 4.0k · 1 hit paper · h-index 33

Impact in

Papers in

Michael P. Czech

42 papers receiving 3.7k citations

Michael P. Czech's Hit Papers

Interaction of cross-linking agents with the insulin effector system of isolated fat cells. Covalent linkage of 125I-insulin to a plasma membrane receptor protein of 140,000 daltons. 1979 · 398 citations
3980+15+31Years since publication100200300

Peers

Michael P. Czech
Comparison fields: 5 of 104
  • Endocrinology, Diabetes and Metabolism 681
  • Molecular Biology 2.9k
  • Cell Biology 658
  • Biochemistry 271
  • Physiology 749
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Citations per field
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Citations per year

Countries citing papers authored by Michael P. Czech

Since Specialization
Citations

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

Fields of papers citing papers by Michael P. Czech

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael P. Czech. 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 Michael P. Czech. The network helps show where Michael P. Czech may publish in the future.

Co-authors

The 25 scholars most cited alongside Michael P. Czech, 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 Michael P. Czech Line = papers co-authored together Michael P. Czech links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Interaction of cross-linking agents with the insulin effector system of isolated fat cells. Covalent linkage of 125I-insulin to a plasma membrane receptor protein of 140,000 daltons.
Hit paper breakdown →
1979398
2 1985283
3 1980282
4 1988194
5 1988184
6 1984169
7 1985164
8 1983150
9 1982136
10 1989129
11 1976127
12 1994120
13 1976119
14 1980116
15 1989108
16 198592
17 198590
18 199388
19 199483
20 198782

About Michael P. Czech

Michael P. Czech is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Cancer Research, Biochemistry and Physiology, having authored 42 papers that have together received 4.0k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (22 papers), Pancreatic function and diabetes (11 papers), Growth Hormone and Insulin-like Growth Factors (9 papers), Cancer, Hypoxia, and Metabolism (8 papers), Protein Kinase Regulation and GTPase Signaling (7 papers), Adipose Tissue and Metabolism (7 papers), Lipid metabolism and biosynthesis (4 papers) and Glycosylation and Glycoproteins Research (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (681 citations), Molecular Biology (2.9k citations), Cell Biology (658 citations), Biochemistry (271 citations) and Physiology (749 citations). Michael P. Czech has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Paul F. Pilch, Roger J. Davis, Jes K. Klarlund, Kevin B. Clairmont, Joan Massagué, Robert E. Lewis, Barry R. Ganong, Robert M. Bell, Silvia Corvera and Wendy Gitomer. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Biochemical Journal, The Journal of Cell Biology and American Journal of Physiology-Endocrinology and Metabolism.

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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