Jennifer Wellman

27 total papers · 4.1k total citations
20 papers, 1.3k citations indexed

About

Jennifer Wellman is a scholar working on Molecular Biology, Ophthalmology and Genetics. According to data from OpenAlex, Jennifer Wellman has authored 20 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 9 papers in Ophthalmology and 5 papers in Genetics. Recurrent topics in Jennifer Wellman's work include Retinal Development and Disorders (13 papers), Retinal Diseases and Treatments (9 papers) and Virus-based gene therapy research (4 papers). Jennifer Wellman is often cited by papers focused on Retinal Development and Disorders (13 papers), Retinal Diseases and Treatments (9 papers) and Virus-based gene therapy research (4 papers). Jennifer Wellman collaborates with scholars based in United States, Italy and Brazil. Jennifer Wellman's co-authors include Katherine A. High, Jean Bennett, Kathleen Marshall, J. Fraser Wright, Albert M. Maguire, Francesca Simonelli, Daniel C. Chung, Sarah McCague, Alberto Auricchio and Eric A. Pierce and has published in prestigious journals such as Journal of Virology, Ophthalmology and Science Translational Medicine.

In The Last Decade

Jennifer Wellman

19 papers receiving 1.3k citations

Hit Papers

Efficacy, Safety, and Dur... 2019 2026 2021 2023 2019 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Jennifer Wellman 1.1k 597 400 180 149 20 1.3k
Renee C. Ryals 1.4k 1.3× 546 0.9× 335 0.8× 186 1.0× 127 0.9× 36 1.7k
Christine N. Kay 864 0.8× 366 0.6× 498 1.2× 131 0.7× 207 1.4× 45 1.2k
Susie E. Barker 872 0.8× 447 0.7× 357 0.9× 161 0.9× 101 0.7× 19 1.1k
Nathalie Provost 1.0k 0.9× 803 1.3× 254 0.6× 143 0.8× 82 0.6× 40 1.8k
Katherine G. Rendahl 839 0.8× 452 0.8× 161 0.4× 271 1.5× 89 0.6× 22 1.1k
Joseph C. Giacalone 1.3k 1.2× 461 0.8× 429 1.1× 145 0.8× 180 1.2× 37 1.7k
Peter Pecháň 787 0.7× 782 1.3× 130 0.3× 117 0.7× 91 0.6× 36 1.3k
R. R. Klimczak 1.1k 1.0× 575 1.0× 304 0.8× 266 1.5× 139 0.9× 10 1.3k
Thomas W. Chalberg 900 0.8× 539 0.9× 170 0.4× 41 0.2× 162 1.1× 17 1.1k
Suja Hiriyanna 1.1k 1.0× 368 0.6× 374 0.9× 221 1.2× 179 1.2× 22 1.3k

Countries citing papers authored by Jennifer Wellman

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Wellman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Wellman

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