Jennifer Abbasi

390 total papers · 3.4k total citations
282 papers, 2.2k citations indexed

About

Jennifer Abbasi is a scholar working on Infectious Diseases, Oncology and Epidemiology. According to data from OpenAlex, Jennifer Abbasi has authored 282 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Infectious Diseases, 25 papers in Oncology and 25 papers in Epidemiology. Recurrent topics in Jennifer Abbasi's work include SARS-CoV-2 and COVID-19 Research (29 papers), COVID-19 Clinical Research Studies (14 papers) and CAR-T cell therapy research (9 papers). Jennifer Abbasi is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (29 papers), COVID-19 Clinical Research Studies (14 papers) and CAR-T cell therapy research (9 papers). Jennifer Abbasi collaborates with scholars based in United States. Jennifer Abbasi's co-authors include Yulin Hswen, Rita Rubin, Rebecca Voelker, Feyza Sancar, Melissa Suran, Roy H. Perlis and Rita Rubin and has published in prestigious journals such as JAMA.

In The Last Decade

Jennifer Abbasi

266 papers receiving 2.2k 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 Abbasi 537 326 274 270 247 282 2.2k
Sayer Al‐Azzam 324 0.6× 236 0.7× 314 1.1× 134 0.5× 280 1.1× 184 3.1k
Rebecca Voelker 283 0.5× 275 0.8× 315 1.1× 138 0.5× 333 1.3× 579 2.5k
Yan Jin 223 0.4× 396 1.2× 257 0.9× 221 0.8× 223 0.9× 181 2.3k
Kun Tang 543 1.0× 261 0.8× 417 1.5× 125 0.5× 379 1.5× 166 2.7k
Ka Chun Chong 926 1.7× 252 0.8× 212 0.8× 134 0.5× 271 1.1× 203 3.0k
Fernando Augusto Lima Marson 324 0.6× 261 0.8× 122 0.4× 200 0.7× 125 0.5× 189 2.1k
Ferdinando Romano 276 0.5× 365 1.1× 181 0.7× 221 0.8× 124 0.5× 118 2.3k
Vicente A. Benítes-Zapata 319 0.6× 253 0.8× 114 0.4× 142 0.5× 270 1.1× 152 1.9k
Brent A. Johnson 440 0.8× 370 1.1× 349 1.3× 231 0.9× 205 0.8× 126 3.0k
Seyed Aria Nejadghaderi 293 0.5× 267 0.8× 167 0.6× 257 1.0× 271 1.1× 139 2.5k

Countries citing papers authored by Jennifer Abbasi

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Abbasi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Abbasi

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