Jennifer E. Amengual

199 total papers · 2.2k total citations
85 papers, 1.0k citations indexed

About

Jennifer E. Amengual is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Jennifer E. Amengual has authored 85 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 42 papers in Pathology and Forensic Medicine and 37 papers in Oncology. Recurrent topics in Jennifer E. Amengual's work include Lymphoma Diagnosis and Treatment (42 papers), Histone Deacetylase Inhibitors Research (24 papers) and Protein Degradation and Inhibitors (16 papers). Jennifer E. Amengual is often cited by papers focused on Lymphoma Diagnosis and Treatment (42 papers), Histone Deacetylase Inhibitors Research (24 papers) and Protein Degradation and Inhibitors (16 papers). Jennifer E. Amengual collaborates with scholars based in United States, Canada and United Kingdom. Jennifer E. Amengual's co-authors include Jennifer Kimberly Lue, Owen A. O’Connor, Luigi Scotto, Enrica Marchi, Serge Cremers, Matko Kalac, Ahmed Sawas, Changchun Deng, Kelly Zullo and Govind Bhagat and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Blood.

In The Last Decade

Jennifer E. Amengual

83 papers receiving 1.0k 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 E. Amengual 571 443 402 209 136 85 1.0k
Lei Zhang 301 0.5× 516 1.2× 484 1.2× 307 1.5× 116 0.9× 61 1.0k
Daniela Buglio 746 1.3× 446 1.0× 451 1.1× 188 0.9× 204 1.5× 36 1.2k
Li Wang 358 0.6× 490 1.1× 509 1.3× 263 1.3× 135 1.0× 72 1.0k
Xiaorui Fu 358 0.6× 635 1.4× 603 1.5× 374 1.8× 123 0.9× 91 1.2k
Georgios Z. Rassidakis 489 0.9× 375 0.8× 413 1.0× 234 1.1× 207 1.5× 34 1.0k
D Germain 400 0.7× 304 0.7× 192 0.5× 127 0.6× 146 1.1× 44 872
Gunhild Trøen 435 0.8× 324 0.7× 268 0.7× 199 1.0× 223 1.6× 46 1.1k
Amit Khot 410 0.7× 335 0.8× 294 0.7× 179 0.9× 248 1.8× 51 955
Connie Lee Batlevi 267 0.5× 440 1.0× 754 1.9× 196 0.9× 200 1.5× 80 1.1k
Amanda Copeland 533 0.9× 558 1.3× 616 1.5× 166 0.8× 315 2.3× 36 1.2k

Countries citing papers authored by Jennifer E. Amengual

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer E. Amengual

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer E. Amengual

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