Peter A. Cattini

4.0k citations
130 papers · 3.3k · h-index 32

Impact in

Papers in

Peter A. Cattini

128 papers receiving 3.2k citations

Peers

Peter A. Cattini
Comparison fields: 5 of 104
  • Endocrinology, Diabetes and Metabolism 841
  • Molecular Biology 2.0k
  • Genetics 810
  • Obstetrics and Gynecology 214
  • Pediatrics, Perinatology and Child Health 321
Replace Lawrence S. Mathews with:
Lawrence S. Mathews United States
Marcelina Párrizas Spain
Bethel Stannard United States
Walker H. Busby United States
Geri Méduri France
Yisrael Sidis United States
Rupangi C. Vasavada United States
Sue M. Firth Australia
Xueying Gu United States
Fraser M. Rogerson Australia
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Citations per field
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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 1993272
2 1981130
3 2003103
4 200998
5 199696
6 200288
7 200787
8 198780
9 200272
10 198672
11 200660
12 200159
13 200857
14 198854
15 199353
16 200049
17 199249
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 (43 papers), Fibroblast Growth Factor Research (31 papers), Genetic Syndromes and Imprinting (19 papers), Birth, Development, and Health (13 papers), Kruppel-like factors research (11 papers), Pregnancy and preeclampsia studies (11 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 (841 citations), Molecular Biology (2.0k citations), Genetics (810 citations), Obstetrics and Gynecology (214 citations) and Pediatrics, Perinatology and Child Health (321 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, Yan Jin, Robert R. Fandrich and Mark W. Nachtigal. Their work appears in journals such as Molecular and Cellular Endocrinology, Journal of Biological Chemistry, DNA and Cell Biology, Molecular and Cellular Biochemistry and American Journal of Physiology-Heart and Circulatory Physiology.

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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