Brian B. Lee

1.1k citations
7 papers · 933 · h-index 4

Impact in

  • Physiology top 5%
    • Calcium signaling and nucleotide metabolism
    • PI3K/AKT/mTOR signaling in cancer
    • Protein Kinase Regulation and GTPase Signaling
    • Protein Degradation and Inhibitors
    • Biochemical and Molecular Research

Papers in

Brian B. Lee

6 papers receiving 901 citations

Peers

Brian B. Lee
Comparison fields: 5 of 81
  • Physiology 58
  • Molecular Biology 617
  • Geriatrics and Gerontology 26
  • Epidemiology 253
  • Cancer Research 91
Replace Summar Siddiqui with:
Summar Siddiqui United States
Yanying Huo United States
David J. Schwalb Switzerland
Gong‐Kan Feng China
Xavier Billot Canada
Filippa Pettersson Canada
Fang Lou China
Siao Muk Cheng Taiwan
Lora B. Kramer United States
Brian B. Lee relative to Summar Siddiqui United States Summar Siddiqui's profile →
Citations per field
00.5×2×2.6×
Summar Siddiqui · 1×
Citations per year

Countries citing papers authored by Brian B. Lee

Since Specialization
Citations

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

Fields of papers citing papers by Brian B. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Brian B. Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Brian B. Lee Line = papers co-authored together Brian B. Lee links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2008364
2 2013259
3 2012164
4 2012143
5 20062
6 20251
7 20110

About Brian B. Lee

Brian B. Lee is a scholar working on Physiology, Statistics, Probability and Uncertainty, Pulmonary and Respiratory Medicine, Molecular Biology and Immunology, having authored 7 papers that have together received 933 indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (4 papers), Infectious Aortic and Vascular Conditions (1 paper), interferon and immune responses (1 paper), Abdominal vascular conditions and treatments (1 paper), Pulmonary Hypertension Research and Treatments (1 paper), Scientific Measurement and Uncertainty Evaluation (1 paper), Adenosine and Purinergic Signaling (1 paper) and Protein Kinase Regulation and GTPase Signaling (1 paper). The work is most often cited by research in Physiology (58 citations), Molecular Biology (617 citations), Geriatrics and Gerontology (26 citations), Epidemiology (253 citations) and Cancer Research (91 citations). Brian B. Lee has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Jie Ming Lin, Lori Sickels Friedman, Christine Orr, Michael Y. Degtyarev, Wei Wei Prior, Daniel C. Gray, Janet Tien, Howard Marvin Stern, Lesley J. Murray and Ann De Mazière. Their work appears in journals such as Heart Rhythm, Science Signaling, Journal of Emergency Medicine, The Journal of Cell Biology and JCI Insight.

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.

Explore authors with similar magnitude of impact