Kim Brewer

1.3k citations
4 papers · 1.2k · 1 hit paper · h-index 4

Impact in

    • Cellular transport and secretion
    • Protein Kinase Regulation and GTPase Signaling
    • Metabolism, Diabetes, and Cancer
    • PI3K/AKT/mTOR signaling in cancer
    • Receptor Mechanisms and Signaling
    • Cell death mechanisms and regulation

Papers in

Kim Brewer

4 papers receiving 1.2k citations

Kim Brewer's Hit Papers

Activation of the zeta isozyme of protein kinase C by phosphatidylinositol 3,4,5-trisphosphate. 1993 · 903 citations
9030+11+22Years since publication250500750

Peers

Kim Brewer
Comparison fields: 5 of 79
  • Cell Biology 252
  • Molecular Biology 930
  • Reproductive Medicine 84
  • Immunology and Allergy 55
  • Endocrinology, Diabetes and Metabolism 138
Replace Steven B. Waters with:
Steven B. Waters United States
Devon A. Thompson United States
Catherine Oppenheimer United States
Matthew N. Hodgkin United Kingdom
Helen Cheng Canada
Andrea Kauffmann-Zeh United Kingdom
S Winitz United States
T F Franke United States
Richard I. Feldman United States
I D Goldfine United States
Kim Brewer relative to Steven B. Waters United States Steven B. Waters's profile →
Citations per field
00.5×1.5×
Steven B. Waters · 1×
Citations per year

Countries citing papers authored by Kim Brewer

Since Specialization
Citations

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

Fields of papers citing papers by Kim Brewer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Kim Brewer, 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 Kim Brewer Line = papers co-authored together Kim Brewer links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown

About Kim Brewer

Kim Brewer is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Reproductive Medicine, Neurology and Cell Biology, having authored 4 papers that have together received 1.2k indexed citations. Recurring topics across this work include Hormonal and reproductive studies (2 papers), Hypothalamic control of reproductive hormones (1 paper), Nitric Oxide and Endothelin Effects (1 paper), Eicosanoids and Hypertension Pharmacology (1 paper), Ovarian function and disorders (1 paper), Sexual Differentiation and Disorders (1 paper), Protein Kinase Regulation and GTPase Signaling (1 paper) and Sperm and Testicular Function (1 paper). The work is most often cited by research in Cell Biology (252 citations), Molecular Biology (930 citations), Reproductive Medicine (84 citations), Immunology and Allergy (55 citations) and Endocrinology, Diabetes and Metabolism (138 citations). Kim Brewer has collaborated with scholars based in United States. Frequent co-authors include John H. Exton, Hiroyuki Nakanishi, SPYROS N. PAVLOU, B. Jane Rogers, Wylie Vale, Carl M. Herbert, J Lindner, P. Michael Conn, Jean Rivier and Larry L. Swift. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Clinical Endocrinology & Metabolism and Obstetrical & Gynecological Survey.

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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