C. Blat

975 citations
34 papers · 905 · h-index 16

Impact in

Papers in

C. Blat

34 papers receiving 829 citations

Peers

C. Blat
Comparison fields: 5 of 76
  • Endocrinology, Diabetes and Metabolism 459
  • Cancer Research 169
  • Molecular Biology 546
  • Genetics 129
  • Cardiology and Cardiovascular Medicine 82
Replace Judith M. Podskalny with:
Judith M. Podskalny United States
R. N. P. Singh United States
M J McKay United States
Rita Slaaby Denmark
Kimi S. Hatton United States
Emiko Yamada Japan
Yvan Labrie Canada
Nancy A. Thompson Switzerland
F. Gauthier France
Claire Hughes United Kingdom
C. Blat relative to Judith M. Podskalny United States Judith M. Podskalny's profile →
Citations per field
00.5×4.3×
Judith M. Podskalny · 1×
Citations per year

Countries citing papers authored by C. Blat

Since Specialization
Citations

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

Fields of papers citing papers by C. Blat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside C. Blat, 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 C. Blat Line = papers co-authored together C. Blat links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994172
2 1970129
3 197178
4 199152
5 198947
6 199244
7 199142
8 199132
9 198530
10 198930
11 199128
12 199424
13
IGF binding protein-3 secreted by the prostate adenocarcinoma cells (PC-3): differential effect on PC-3 and normal prostate cell growth.
199324
14 197417
15 199416
16 197516
17 198114
18 196914
19 198412
20 198610

About C. Blat

C. Blat is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Genetics, Cancer Research and Public Health, Environmental and Occupational Health, having authored 34 papers that have together received 905 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (11 papers), Cancer, Hypoxia, and Metabolism (7 papers), RNA Research and Splicing (6 papers), Reproductive Biology and Fertility (5 papers), Animal Genetics and Reproduction (4 papers), RNA Interference and Gene Delivery (4 papers), RNA and protein synthesis mechanisms (4 papers) and Metabolism, Diabetes, and Cancer (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (459 citations), Cancer Research (169 citations), Molecular Biology (546 citations), Genetics (129 citations) and Cardiology and Cardiovascular Medicine (82 citations). C. Blat has collaborated with scholars based in France, Netherlands and Switzerland. Frequent co-authors include L Harel, J.E. Loeb, J. Villaudy, M Binoux, Jean Delbé, A Goldé, Gilles Chatelain, Arend Brinkman, J. Zapf and M. Moralés. Their work appears in journals such as Experimental Cell Research, Journal of Cellular Physiology, FEBS Letters, Growth Factors and Biochimica et Biophysica Acta (BBA) - Biomembranes.

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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