Jennifer Kwan

104 total papers · 1.7k total citations
39 papers, 861 citations indexed

About

Jennifer Kwan is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Jennifer Kwan has authored 39 papers receiving a total of 861 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 11 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Oncology. Recurrent topics in Jennifer Kwan's work include Machine Learning in Bioinformatics (7 papers), Fractal and DNA sequence analysis (7 papers) and Effects of Radiation Exposure (6 papers). Jennifer Kwan is often cited by papers focused on Machine Learning in Bioinformatics (7 papers), Fractal and DNA sequence analysis (7 papers) and Effects of Radiation Exposure (6 papers). Jennifer Kwan collaborates with scholars based in Canada, United States and China. Jennifer Kwan's co-authors include Fei‐Fei Liu, Kenneth W. Yip, Peter P. Liu, Xiao Zhao, Melissa Bain, Benjamin Y. M. Kwan, Hon Keung Kwan, Meredith Giuliani, Jeff Bruce and Pamela Catton and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Jennifer Kwan

33 papers receiving 842 citations

Hit Papers

Targeting metabolic dysre... 2019 2026 2021 2023 2019 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Jennifer Kwan 241 161 139 136 109 39 861
Elizabeth Shaughnessy 196 0.8× 131 0.8× 210 1.5× 145 1.1× 231 2.1× 46 965
Anne Rigg 208 0.9× 159 1.0× 378 2.7× 141 1.0× 122 1.1× 37 967
Vivian Y. Chang 328 1.4× 130 0.8× 106 0.8× 83 0.6× 72 0.7× 42 1.0k
Michelle Moghadassi 211 0.9× 158 1.0× 199 1.4× 68 0.5× 119 1.1× 31 996
Candace L. Haddox 212 0.9× 175 1.1× 284 2.0× 99 0.7× 66 0.6× 32 924
Ali Dabaja 261 1.1× 219 1.4× 137 1.0× 95 0.7× 80 0.7× 55 889
Garth W. Strohbehn 274 1.1× 161 1.0× 277 2.0× 75 0.6× 139 1.3× 52 1.0k
R.P. Symonds 210 0.9× 181 1.1× 204 1.5× 50 0.4× 155 1.4× 35 820
Jessica M. Faupel‐Badger 183 0.8× 83 0.5× 256 1.8× 164 1.2× 112 1.0× 47 990
Stephanie M. Smith 255 1.1× 188 1.2× 322 2.3× 72 0.5× 159 1.5× 55 1.0k

Countries citing papers authored by Jennifer Kwan

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Kwan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Kwan

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