Bei Morrison
Impact in
- Cell Biology top 10%
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
-
- interferon and immune responses
Papers in
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- Sphingolipid Metabolism and Signaling 1
- Oncology 4
- Cytokine Signaling Pathways and Interactions 3
- Co-authors
- Daniel J. Lindner (9 shared papers)Joseph A. Bauer (8 shared papers)Dhananjaya V. Kalvakolanu (2 shared papers)Zhuo Tang (3 shared papers)Guiying Hong (1 shared paper)Linnea M. Baudhuin (1 shared paper)Samuel C. Mok (1 shared paper)Yan Xu (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)Oncogene (2 papers)Molecular and Cellular Biology (1 paper)Journal of Interferon & Cytokine Research (1 paper)Biochemical Journal (1 paper)
- Partner nations
- United StatesIndia
In The Last Decade
Bei Morrison
12 papers receiving 571 citations
Peers
Comparison fields: 5 of 59
- Cell Biology 176
- Immunology 125
- Molecular Biology 399
- Oncology 141
- Cancer Research 70
Countries citing papers authored by Bei Morrison
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 132 | |
| 2 | 2001 | 107 | |
| 3 | 2011 | 59 | |
| 4 | 2009 | 59 | |
| 5 | 2006 | 55 | |
| 6 | 2002 | 54 | |
| 7 | 2005 | 29 | |
| 8 | 2003 | 27 | |
| 9 | 2007 | 22 | |
| 10 | 2007 | 20 | |
| 11 | 2004 | 13 | |
| 12 | Phase I and pharmacokinetic study of sodium trans-[tetrachlorobis(1H-indazole)ruthenate(III)] / indazolehydrochloride (1:1.1) (FFC14A, KP1019) in patients with solid tumors - a study of the CESAR Central European Society for Anticancer Drug Research - EWIV. | 2005 | 4 |
About Bei Morrison
Bei Morrison is a scholar working on Molecular Biology, Oncology, Cell Biology, Immunology and Cancer Research, having authored 12 papers that have together received 581 indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (3 papers), interferon and immune responses (2 papers), NF-κB Signaling Pathways (2 papers), Aldose Reductase and Taurine (2 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers), Lymphoma Diagnosis and Treatment (1 paper), Sphingolipid Metabolism and Signaling (1 paper) and Phagocytosis and Immune Regulation (1 paper). The work is most often cited by research in Cell Biology (176 citations), Immunology (125 citations), Molecular Biology (399 citations), Oncology (141 citations) and Cancer Research (70 citations). Bei Morrison has collaborated with scholars based in United States and India. Frequent co-authors include Daniel J. Lindner, Joseph A. Bauer, Dhananjaya V. Kalvakolanu, Zhuo Tang, Guiying Hong, Linnea M. Baudhuin, Samuel C. Mok, Yan Xu, Yi-jin Xiao and Weihua Wu. Their work appears in journals such as Journal of Biological Chemistry, Oncogene, Molecular and Cellular Biology, Journal of Interferon & Cytokine Research and Biochemical Journal.
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.