Emily Gianatti

48 total papers · 1.5k total citations
21 papers, 837 citations indexed

About

Emily Gianatti is a scholar working on Endocrinology, Diabetes and Metabolism, Obstetrics and Gynecology and Pharmacology. According to data from OpenAlex, Emily Gianatti has authored 21 papers receiving a total of 837 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Endocrinology, Diabetes and Metabolism, 10 papers in Obstetrics and Gynecology and 6 papers in Pharmacology. Recurrent topics in Emily Gianatti's work include Gestational Diabetes Research and Management (10 papers), Hormonal and reproductive studies (7 papers) and Pharmacology and Obesity Treatment (6 papers). Emily Gianatti is often cited by papers focused on Gestational Diabetes Research and Management (10 papers), Hormonal and reproductive studies (7 papers) and Pharmacology and Obesity Treatment (6 papers). Emily Gianatti collaborates with scholars based in Australia, India and Sweden. Emily Gianatti's co-authors include Mathis Grossmann, Jeffrey D. Zajac, John M. Wentworth, Boyd J. Strauss, Rudolf Hoermann, Emma Hamilton, Philippe Dupuis, Damien Bolton, Jeff R. Flack and David Simmons and has published in prestigious journals such as New England Journal of Medicine, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.

In The Last Decade

Emily Gianatti

17 papers receiving 819 citations

Hit Papers

Treatment of Gestational ... 2023 2026 2024 2023 40 80 120

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Emily Gianatti 492 197 163 117 109 21 837
Antonio Martín Morales 575 1.2× 250 1.3× 29 0.2× 54 0.5× 28 0.3× 16 891
Inge Van Pottelbergh 441 0.9× 89 0.5× 30 0.2× 28 0.2× 144 1.3× 32 997
Jean Charles Crave 382 0.8× 71 0.4× 50 0.3× 29 0.2× 60 0.6× 12 810
Lennart Hahn 194 0.4× 74 0.4× 65 0.4× 33 0.3× 126 1.2× 31 774
Ulysse Gaspard 266 0.5× 46 0.2× 113 0.7× 35 0.3× 68 0.6× 48 859
N.H. Ertel 329 0.7× 42 0.2× 41 0.3× 31 0.3× 154 1.4× 24 886
Liliya M. Yamaleyeva 247 0.5× 158 0.8× 199 1.2× 55 0.5× 75 0.7× 38 826
Jee‐Young Oh 575 1.2× 194 1.0× 22 0.1× 24 0.2× 142 1.3× 19 1.0k
Karine Blouin 483 1.0× 139 0.7× 19 0.1× 31 0.3× 340 3.1× 28 1.0k
Miwa Kawakubo 384 0.8× 71 0.4× 193 1.2× 17 0.1× 169 1.6× 20 861

Countries citing papers authored by Emily Gianatti

Since Specialization
Citations

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

Fields of papers citing papers by Emily Gianatti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emily Gianatti

This figure shows the co-authorship network connecting the top 25 collaborators of Emily Gianatti. A scholar is included among the top collaborators of Emily Gianatti 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 Emily Gianatti. Emily Gianatti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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