Peter A. Cattini

128 papers receiving 3.2k citations

Peers

Peter A. Cattini
Comparison fields: 5 of 100
  • Endocrinology, Diabetes and Metabolism 799
  • Obstetrics and Gynecology 202
  • Genetics 771
  • Molecular Biology 1.9k
  • Pediatrics, Perinatology and Child Health 288
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Gregorio D. Chazenbalk United States
Marcelina Párrizas Spain
Antonella Farsetti Italy
Walker H. Busby United States
Sue M. Firth Australia
Geri Méduri France
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Xueying Gu United States
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Citations per year

Countries citing papers authored by Peter A. Cattini

Since Specialization
Citations

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

Fields of papers citing papers by Peter A. Cattini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter A. Cattini. 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 Peter A. Cattini. The network helps show where Peter A. Cattini may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 130 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993271
2 1981131
3 2003104
4 200998
5 199696
6 200789
7 200288
8 198780
9 200272
10 198672
11 200160
12 200660
13 200857
14 198854
15 199353
16 199249
17 200049
18 199547
19 199445
20 198744

About Peter A. Cattini

Peter A. Cattini is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Genetics, Surgery and Pediatrics, Perinatology and Child Health, having authored 130 papers that have together received 3.3k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (42 papers), Fibroblast Growth Factor Research (32 papers), Genetic Syndromes and Imprinting (19 papers), Birth, Development, and Health (12 papers), Pregnancy and preeclampsia studies (11 papers), Kruppel-like factors research (10 papers), Cancer, Hypoxia, and Metabolism (10 papers) and RNA Research and Splicing (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (799 citations), Obstetrics and Gynecology (202 citations), Genetics (771 citations), Molecular Biology (1.9k citations) and Pediatrics, Perinatology and Child Health (288 citations). Peter A. Cattini has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Elissavet Kardami, Barbara E. Nickel, Kishore B.S. Pasumarthi, Norman L. Eberhardt, Karen A. Detillieux, Margaret E. Bock, Yan Jin, Robert R. Fandrich, Mark W. Nachtigal and Farah Sheikh. Their work appears in journals such as Molecular and Cellular Endocrinology, DNA and Cell Biology, Molecular and Cellular Biochemistry, American Journal of Physiology-Heart and Circulatory Physiology and Journal of Biological Chemistry.

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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