Bianca J. Lee

99 total papers · 1.1k total citations
9 papers, 96 citations indexed

About

Bianca J. Lee is a scholar working on Molecular Biology, Hematology and Pathology and Forensic Medicine. According to data from OpenAlex, Bianca J. Lee has authored 9 papers receiving a total of 96 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Hematology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Bianca J. Lee's work include PI3K/AKT/mTOR signaling in cancer (5 papers), Chronic Myeloid Leukemia Treatments (2 papers) and Cancer Mechanisms and Therapy (2 papers). Bianca J. Lee is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (5 papers), Chronic Myeloid Leukemia Treatments (2 papers) and Cancer Mechanisms and Therapy (2 papers). Bianca J. Lee collaborates with scholars based in United States and Romania. Bianca J. Lee's co-authors include Trever G. Bivona, Gorjan Hrustanovic, Jacqueline A.M. Smith, Mallika Singh, David Wildes, Nuntana Dinglasan, Sharmila Mallya, Kyle J. Seamon, Edward Lorenzana and Stephanie Chang and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Cancer Research.

In The Last Decade

Bianca J. Lee

7 papers receiving 95 citations

Author Peers

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

Author Last Decade Papers Cites
Bianca J. Lee 55 52 32 17 10 9 96
J.J. Soto Castillo 48 0.9× 36 0.7× 25 0.8× 9 0.5× 11 1.1× 13 99
Leonardo Forero 47 0.9× 66 1.3× 39 1.2× 10 0.6× 9 0.9× 7 113
Kayleen Bailey 79 1.4× 29 0.6× 31 1.0× 11 0.6× 8 0.8× 10 135
Fabio Volterra 53 1.0× 48 0.9× 29 0.9× 14 0.8× 6 0.6× 8 108
Bruno Chiurazzi 32 0.6× 51 1.0× 24 0.8× 7 0.4× 4 0.4× 12 118
Danielle D. Jandial 77 1.4× 97 1.9× 15 0.5× 18 1.1× 21 2.1× 7 217
Jin Zhang 44 0.8× 42 0.8× 49 1.5× 27 1.6× 9 0.9× 10 105
Yasutaka Matsunaga 78 1.4× 44 0.8× 25 0.8× 28 1.6× 19 1.9× 10 131
Yuzhi Pang 71 1.3× 34 0.7× 59 1.8× 33 1.9× 16 1.6× 10 237
Andrew Calinisan 84 1.5× 88 1.7× 37 1.2× 15 0.9× 11 1.1× 11 139

Countries citing papers authored by Bianca J. Lee

Since Specialization
Citations

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

Fields of papers citing papers by Bianca J. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bianca J. Lee. 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 Bianca J. Lee. The network helps show where Bianca J. Lee may publish in the future.

Co-authorship network of co-authors of Bianca J. Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Bianca J. Lee. A scholar is included among the top collaborators of Bianca J. Lee 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 Bianca J. Lee. Bianca J. Lee 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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