Lisa D. Berman-Booty

71 total papers · 1.1k total citations
21 papers, 841 citations indexed

About

Lisa D. Berman-Booty is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Lisa D. Berman-Booty has authored 21 papers receiving a total of 841 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Oncology and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Lisa D. Berman-Booty's work include Prostate Cancer Treatment and Research (4 papers), Genomics, phytochemicals, and oxidative stress (2 papers) and Estrogen and related hormone effects (2 papers). Lisa D. Berman-Booty is often cited by papers focused on Prostate Cancer Treatment and Research (4 papers), Genomics, phytochemicals, and oxidative stress (2 papers) and Estrogen and related hormone effects (2 papers). Lisa D. Berman-Booty collaborates with scholars based in United States, Taiwan and Thailand. Lisa D. Berman-Booty's co-authors include Michael Karin, Evan A. Yost, Michael J. May, Achim D. Gruber, Katherine J. Guild, Lars Eckmann, David Artis, Colby Zaph, Betsy C. Taylor and Amy E. Troy and has published in prestigious journals such as Nature, The Journal of Immunology and Cancer Research.

In The Last Decade

Lisa D. Berman-Booty

19 papers receiving 830 citations

Author Peers

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

Author Last Decade Papers Cites
Lisa D. Berman-Booty 335 289 158 154 146 21 841
Haisheng Zhou 520 1.6× 196 0.7× 197 1.2× 164 1.1× 147 1.0× 31 955
Toshie Nata 345 1.0× 131 0.5× 170 1.1× 125 0.8× 110 0.8× 24 759
Seon-Ah Ha 449 1.3× 304 1.1× 125 0.8× 180 1.2× 64 0.4× 20 926
Y. Oshiro 377 1.1× 138 0.5× 140 0.9× 129 0.8× 160 1.1× 39 844
Karen Bräutigam 344 1.0× 338 1.2× 190 1.2× 170 1.1× 105 0.7× 32 913
Liping Tian 274 0.8× 492 1.7× 131 0.8× 89 0.6× 154 1.1× 21 853
Lixin Wang 426 1.3× 218 0.8× 194 1.2× 284 1.8× 97 0.7× 35 997
James D. Green 260 0.8× 448 1.6× 143 0.9× 126 0.8× 47 0.3× 20 1.0k
Mansheng Li 525 1.6× 135 0.5× 148 0.9× 135 0.9× 93 0.6× 30 937
Kris Nys 480 1.4× 176 0.6× 168 1.1× 90 0.6× 71 0.5× 19 817

Countries citing papers authored by Lisa D. Berman-Booty

Since Specialization
Citations

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

Fields of papers citing papers by Lisa D. Berman-Booty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lisa D. Berman-Booty. 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 Lisa D. Berman-Booty. The network helps show where Lisa D. Berman-Booty may publish in the future.

Co-authorship network of co-authors of Lisa D. Berman-Booty

This figure shows the co-authorship network connecting the top 25 collaborators of Lisa D. Berman-Booty. A scholar is included among the top collaborators of Lisa D. Berman-Booty 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 Lisa D. Berman-Booty. Lisa D. Berman-Booty 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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