Melvin Blecher

68 papers receiving 1.8k citations

Peers

Melvin Blecher
Comparison fields: 5 of 112
  • Biochemistry 231
  • Clinical Biochemistry 139
  • Endocrinology, Diabetes and Metabolism 328
  • Physiology 479
  • Molecular Biology 1.1k
Replace J. R. Bronk with:
J. R. Bronk United Kingdom
Carlos VILLAR‐PALASI United States
David Henry Smyth United Kingdom
G. Wiseman United Kingdom
Erwin J. Landon United States
H. J. Hohorst Germany
I.T. Oliver Australia
P. P. Foà United States
Junichi Fujii Japan
Alan Bohrer United States
Melvin Blecher relative to J. R. Bronk United Kingdom J. R. Bronk's profile →
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J. R. Bronk · 1×
Citations per year

Countries citing papers authored by Melvin Blecher

Since Specialization
Citations

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

Fields of papers citing papers by Melvin Blecher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Methods in receptor research
1976295
2 1964194
3 1969138
4 1989109
5 197996
6 198478
7 196874
8 198470
9 196568
10 197461
11 196960
12 196756
13 196751
14 197249
15 196645
16 197843
17 196041
18
Receptors, antibodies, and disease.
198437
19 196235
20 197529

About Melvin Blecher

Melvin Blecher is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Physiology, Clinical Biochemistry and Cancer Research, having authored 70 papers that have together received 2.1k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (11 papers), Metabolism, Diabetes, and Cancer (7 papers), Cancer, Hypoxia, and Metabolism (6 papers), Enzyme function and inhibition (5 papers), Receptor Mechanisms and Signaling (5 papers), Toxin Mechanisms and Immunotoxins (4 papers), Metabolism and Genetic Disorders (4 papers) and Adipose Tissue and Metabolism (4 papers). The work is most often cited by research in Biochemistry (231 citations), Clinical Biochemistry (139 citations), Endocrinology, Diabetes and Metabolism (328 citations), Physiology (479 citations) and Molecular Biology (1.1k citations). Melvin Blecher has collaborated with scholars based in United States and Italy. Frequent co-authors include David Abramson, Adhid Al-Arif, Pedro A. José, Abraham White, Robin A. Felder, Christian C. Felder, Nicholas A. Giorgio, Suzanne K. Beckner, Steven J. Goldstein and B. Nüchel Petersen. Their work appears in journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, Biochimica et Biophysica Acta (BBA) - General Subjects, Analytical Biochemistry and Journal of Lipid Research.

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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