Gabriel E. DiMattia

4.4k citations
69 papers · 3.5k indexed · h-index 34
Topics
Physiological and biochemical adaptations (16 papers)Growth Hormone and Insulin-like Growth Factors (13 papers)Ovarian cancer diagnosis and treatment (11 papers)

In The Last Decade

Gabriel E. DiMattia

68 papers receiving 3.5k citations

Peers

Gabriel E. DiMattia
Comparison fields: 5 of 110
  • Molecular Biology 1.5k
  • Endocrinology, Diabetes and Metabolism 833
  • Genetics 795
  • Ecology 585
  • Oncology 513
Replace Chris Ottolenghi with:
Chris Ottolenghi France
Douglas S. Darling United States
Atsuko Ishizuya‐Oka Japan
Stephen R. Hammes United States
Benito Fraile Spain
Sabine Costagliola Belgium
Frank Talamantes United States
Rémi Houlgatte France
Alan L. Schneyer United States
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Citations per field
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Citations per year

Countries citing papers authored by Gabriel E. DiMattia

Since Specialization
Citations

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

Fields of papers citing papers by Gabriel E. DiMattia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gabriel E. DiMattia. 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 Gabriel E. DiMattia. The network helps show where Gabriel E. DiMattia may publish in the future.

Co-authorship network of co-authors of Gabriel E. DiMattia

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriel E. DiMattia. A scholar is included among the top collaborators of Gabriel E. DiMattia based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gabriel E. DiMattia. Gabriel E. DiMattia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 9
3 26
4 27
5 23
6 46
7 60
8 65
9 30
10 72
11 102
12 15
13 89
14 84
15 129
16 53
17 56
18 5
19 114
20 39

About Gabriel E. DiMattia

Gabriel E. DiMattia is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism and Genetics, having authored 69 papers that have together received 3.5k indexed citations. Recurring topics across this work include Physiological and biochemical adaptations (16 papers), Growth Hormone and Insulin-like Growth Factors (13 papers) and Ovarian cancer diagnosis and treatment (11 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (833 citations), Reproductive Medicine (374 citations) and Cancer Research (439 citations). Gabriel E. DiMattia has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Graham F. Wagner, Birgit Gellersen, Henry G. Friesen, Robin Varghese, Trevor G. Shepherd, Rita Kempf, Simon J. Rhodes, Yudith Ramos Valdés, Ralph Telgmann and H. G. Bohnet. Their work appears in journals such as Science, Nucleic Acids Research 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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