Bei Morrison

776 citations
11 papers · 620 · h-index 11

Impact in

  • Physiology top 5%
    • Calcium signaling and nucleotide metabolism
    • Protein Kinase Regulation and GTPase Signaling
    • Sphingolipid Metabolism and Signaling
    • Cell death mechanisms and regulation
    • PI3K/AKT/mTOR signaling in cancer
    • Metabolism, Diabetes, and Cancer

Papers in

    • Cell death mechanisms and regulation 5
    • PI3K/AKT/mTOR signaling in cancer 1
    • Protein Kinase Regulation and GTPase Signaling 1
    • Ovarian cancer diagnosis and treatment 2

Bei Morrison

11 papers receiving 609 citations

Peers

Bei Morrison
Comparison fields: 5 of 55
  • Physiology 82
  • Molecular Biology 384
  • Reproductive Medicine 32
  • Immunology 52
  • Oncology 56
Replace Giovanni Martino with:
Giovanni Martino Italy
Muqddas Tariq China
James L. Sims United States
Murielle Glondu-Lassis France
Michael W. Harr United States
Gesa Walsemann Germany
K. Maly Austria
Monika Fey Switzerland
Ingrid Jenny Guldvik Norway
Bei Morrison relative to Giovanni Martino Italy Giovanni Martino's profile →
Citations per field
00.5×10×20×28×
Giovanni Martino · 1×
Citations per year

Countries citing papers authored by Bei Morrison

Since Specialization
Citations

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

Fields of papers citing papers by Bei Morrison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bei Morrison. 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 Bei Morrison. The network helps show where Bei Morrison may publish in the future.

Co-authors

The 25 scholars most cited alongside Bei Morrison, 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 Bei Morrison Line = papers co-authored together Bei Morrison links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2001142
2 2001108
3 201170
4 200663
5 200961
6 200257
7 200531
8 200329
9 200723
10 200722
11 200414

About Bei Morrison

Bei Morrison is a scholar working on Molecular Biology, Reproductive Medicine, Cancer Research, Toxicology and Otorhinolaryngology, having authored 11 papers that have together received 620 indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (5 papers), Ovarian cancer diagnosis and treatment (2 papers), NF-κB Signaling Pathways (2 papers), Lung Cancer Treatments and Mutations (1 paper), Bioactive Compounds and Antitumor Agents (1 paper), PI3K/AKT/mTOR signaling in cancer (1 paper), Head and Neck Cancer Studies (1 paper) and Protein Kinase Regulation and GTPase Signaling (1 paper). The work is most often cited by research in Physiology (82 citations), Molecular Biology (384 citations), Reproductive Medicine (32 citations), Immunology (52 citations) and Oncology (56 citations). Bei Morrison has collaborated with scholars based in United States. Frequent co-authors include Daniel J. Lindner, Joseph Alan Bauer, Dhananjaya V. Kalvakolanu, Zhuo Tang, Weihua Wu, Guiying Hong, Linnea M. Baudhuin, Samuel C. Mok, Yi-jin Xiao and Yan Xu. Their work appears in journals such as Oncogene, Journal of Biological Chemistry, Gynecologic Oncology, PLoS ONE and Oncology.

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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