Jennifer Conn

61 total papers · 1.6k total citations
44 papers, 1.1k citations indexed

About

Jennifer Conn is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Obstetrics and Gynecology. According to data from OpenAlex, Jennifer Conn has authored 44 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Endocrinology, Diabetes and Metabolism, 9 papers in Surgery and 9 papers in Obstetrics and Gynecology. Recurrent topics in Jennifer Conn's work include Gestational Diabetes Research and Management (8 papers), Diabetes Management and Research (8 papers) and Diabetes Management and Education (6 papers). Jennifer Conn is often cited by papers focused on Gestational Diabetes Research and Management (8 papers), Diabetes Management and Research (8 papers) and Diabetes Management and Education (6 papers). Jennifer Conn collaborates with scholars based in Australia, United Kingdom and United States. Jennifer Conn's co-authors include Howard S. Jacobs, Gerard S. Conway, Stuart Marshall, Jennifer Weller, Debra Nestel, Peter Brooks, Alison Nankervis, Jane Speight, Timothy Skinner and Trisha Dunning and has published in prestigious journals such as Diabetes, Investigative Ophthalmology & Visual Science and Journal of Adolescent Health.

In The Last Decade

Jennifer Conn

44 papers receiving 999 citations

Author Peers

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

Author Last Decade Papers Cites
Jennifer Conn 346 313 192 188 165 44 1.1k
Délio Marques Conde 269 0.8× 284 0.9× 83 0.4× 198 1.1× 121 0.7× 62 1.3k
Danielle H. Morris 380 1.1× 356 1.1× 177 0.9× 58 0.3× 320 1.9× 26 1.3k
Erik B. Obel 371 1.1× 174 0.6× 79 0.4× 242 1.3× 127 0.8× 40 1.2k
Antti Saari 156 0.5× 405 1.3× 214 1.1× 151 0.8× 62 0.4× 38 1.3k
Abdulla O.A.A. Al-Hamaq 616 1.8× 244 0.8× 273 1.4× 148 0.8× 69 0.4× 32 1.3k
Mary Panjari 418 1.2× 180 0.6× 147 0.8× 115 0.6× 126 0.8× 27 1.0k
César Eduardo Fernandes 267 0.8× 231 0.7× 77 0.4× 141 0.8× 131 0.8× 96 980
Ekta Kapoor 519 1.5× 167 0.5× 121 0.6× 109 0.6× 99 0.6× 41 1.1k
Dorothy R. Hollingsworth 420 1.2× 151 0.5× 116 0.6× 263 1.4× 55 0.3× 71 1.3k
Anuradhaa Subramanian 199 0.6× 103 0.3× 200 1.0× 202 1.1× 82 0.5× 57 1.2k

Countries citing papers authored by Jennifer Conn

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Conn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Conn

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Conn. A scholar is included among the top collaborators of Jennifer Conn 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 Jennifer Conn. Jennifer Conn 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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