Jennifer D. Black

158 total papers · 6.0k total citations
93 papers, 4.7k citations indexed

About

Jennifer D. Black is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jennifer D. Black has authored 93 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 30 papers in Oncology and 16 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jennifer D. Black's work include PI3K/AKT/mTOR signaling in cancer (17 papers), Protein Kinase Regulation and GTPase Signaling (14 papers) and Cancer-related Molecular Pathways (13 papers). Jennifer D. Black is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (17 papers), Protein Kinase Regulation and GTPase Signaling (14 papers) and Cancer-related Molecular Pathways (13 papers). Jennifer D. Black collaborates with scholars based in United States, United Kingdom and Australia. Jennifer D. Black's co-authors include Adrian R. Black, Jane Azizkhan‐Clifford, J. Oliver Dolly, Olga V. Leontieva, Mark R. Frey, J. Melling, Xiaoyuan Zhao, R. Stanley Williams, Michael G. Brattain and Milind Javle and has published in prestigious journals such as Nature, Cell and Journal of Biological Chemistry.

In The Last Decade

Jennifer D. Black

92 papers receiving 4.6k citations

Hit Papers

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Author Peers

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

Author Last Decade Papers Cites
Jennifer D. Black 3.1k 985 692 499 452 93 4.7k
Andrea Morrione 3.2k 1.0× 916 0.9× 353 0.5× 859 1.7× 584 1.3× 92 4.7k
Jo W.M. Höppener 2.9k 0.9× 1.1k 1.1× 453 0.7× 364 0.7× 489 1.1× 92 5.8k
Masashi Kawaichi 2.9k 0.9× 1.0k 1.1× 353 0.5× 372 0.7× 303 0.7× 86 4.4k
Toshinori Ozaki 4.2k 1.4× 1.9k 1.9× 513 0.7× 960 1.9× 813 1.8× 157 5.5k
Giuseppe Giannini 2.7k 0.9× 817 0.8× 282 0.4× 742 1.5× 203 0.4× 109 4.1k
Jill M. Lahti 4.3k 1.4× 1.8k 1.9× 698 1.0× 927 1.9× 877 1.9× 88 5.9k
Chifumi Kitanaka 2.8k 0.9× 1.2k 1.2× 716 1.0× 794 1.6× 356 0.8× 116 4.7k
Gregory Hollis 2.7k 0.9× 1.0k 1.0× 328 0.5× 368 0.7× 270 0.6× 101 5.1k
Robert Layfield 3.7k 1.2× 1.2k 1.2× 957 1.4× 405 0.8× 1.3k 2.8× 126 6.5k
Dennis W. Stacey 4.5k 1.5× 1.8k 1.8× 357 0.5× 514 1.0× 919 2.0× 96 5.9k

Countries citing papers authored by Jennifer D. Black

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer D. Black

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer D. Black

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