Michael Czech

35.4k citations
299 papers · 28.7k indexed · 9 hit papers · h-index 95

Michael Czech

296 papers receiving 27.9k citations

Hit Papers

Insulin action...921197720261993200950010001.5k

Peers

Michael Czech
Comparison fields: 5 of 166
  • Cell Biology 5.1k
  • Physiology 8.0k
  • Endocrinology, Diabetes and Metabolism 4.3k
  • Biochemistry 1.8k
  • Molecular Biology 16.9k
Replace Bruce E. Kemp with:
Bruce E. Kemp Australia
Alan R. Saltiel United States
Amira Klip Canada
Jeffrey E. Pessin United States
Masato Kasuga Japan
Morris J. Birnbaum United States
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Ira Tabas United States
Masahiko Negishi United States
M. Daniel Lane United States
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Citations per field
00.5×1.5×
Bruce E. Kemp · 1×
Citations per year

Countries citing papers authored by Michael Czech

Since Specialization
Citations

This map shows the geographic impact of Michael 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 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 Czech more than expected).

Fields of papers citing papers by Michael Czech

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202328
2 202219
3 202225
4 202129
5 20214
6 201914
7 2019126
8 201912
9 201040
10 200921
11 2004107
12 2002122
13 200121
14 1995200
15 199423
16
Exofacial epitope-tagged glucose transporter chimeras reveal C-terminal sequences governing cellular localization
19931
17 199198
18
Regulation of transferrin receptor expression at the cell surface by insulin-like growth factors, epidermal growth factor and platelet-derived growth factor
198613
19 19862
20
Direct modulation of insulin-like growth factor-II receptor affinity by insulin action in adipocytes and H-35 hepatoma cells
19822

About Michael Czech

Michael Czech is a scholar working on Biochemistry, Cell Biology and Physiology, having authored 299 papers that have together received 28.7k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (90 papers), Adipose Tissue and Metabolism (73 papers), Pancreatic function and diabetes (71 papers), Protein Kinase Regulation and GTPase Signaling (46 papers), Adipokines, Inflammation, and Metabolic Diseases (42 papers), Cellular transport and secretion (37 papers), Growth Hormone and Insulin-like Growth Factors (25 papers) and Lipid metabolism and biosynthesis (23 papers). The work is most often cited by research in Cell Biology (5.1k citations), Physiology (8.0k citations) and Endocrinology, Diabetes and Metabolism (4.3k citations). Michael Czech has collaborated with scholars based in United States, India and France. Frequent co-authors include Adı́lson Guilherme, Silvia Corvera, Joseph V. Virbasius, Joan Massagué, Shao Hui Huang, Vishwajeet Puri, Sarah M. Nicoloro, Anil Chawla, Myriam Aouadi and Roger J. Davis. Their work appears in journals such as Journal of Biological Chemistry, Molecular and Cellular Biology, Proceedings of the National Academy of Sciences, Diabetes and Biochemistry.

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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