Beverly A. Mock

5.9k citations
103 papers · 3.4k indexed · h-index 32

Impact in

  • Aging top 2%
  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

    • Multiple Myeloma Research and Treatments 13
    • T-cell and B-cell Immunology 9

Beverly A. Mock

100 papers receiving 3.4k citations

Peers

Beverly A. Mock
Comparison fields: 5 of 120
  • Aging 125
  • Immunology 859
  • Hematology 325
  • Molecular Biology 2.0k
  • Oncology 619
Replace Yasuhiko Masuho with:
Yasuhiko Masuho Japan
Linda A. Cannizzaro United States
Richard J. Cornall United Kingdom
R. Duncan Campbell United Kingdom
Karen S. Hathcock United States
Mitsuo Maruyama Japan
J Dausset France
Monique V. Davies United States
Joseph R. Bishop United States
Cliff J. Luke United States
Beverly A. Mock relative to Yasuhiko Masuho Japan Yasuhiko Masuho's profile →
Citations per field
00.5×3.9×
Yasuhiko Masuho · 1×
Citations per year

Countries citing papers authored by Beverly A. Mock

Since Specialization
Citations

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

Fields of papers citing papers by Beverly A. Mock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Beverly A. Mock. 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 Beverly A. Mock. The network helps show where Beverly A. Mock may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20208
4 202033
5 201956
6 2018137
7 201727
8 201716
9 20122
10 201168
11 20004
12 19997
13 19993
14 199818
15 19972
16 199611
17 199520
18 199317
19 198828
20 198827

About Beverly A. Mock

Beverly A. Mock is a scholar working on Hematology, Immunology, Molecular Biology, Oncology and Parasitology, having authored 103 papers that have together received 3.4k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (14 papers), Multiple Myeloma Research and Treatments (13 papers), Protein Degradation and Inhibitors (11 papers), T-cell and B-cell Immunology (9 papers), Research on Leishmaniasis Studies (7 papers), Trypanosoma species research and implications (7 papers), PI3K/AKT/mTOR signaling in cancer (6 papers) and Chronic Lymphocytic Leukemia Research (5 papers). The work is most often cited by research in Aging (125 citations), Immunology (859 citations), Hematology (325 citations), Molecular Biology (2.0k citations) and Oncology (619 citations). Beverly A. Mock has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Michael Potter, Konrad Hüppi, Carol A. Nacy, Edward S. Ramsay, Shuling Zhang, Shuling Zhang, Wendy Dubois, Stuart Rudikoff, Jenefer M. Blackwell and Christine A. Kozak. Their work appears in journals such as Genomics, Mammalian Genome, Current topics in microbiology and immunology, The Journal of Immunology and Infection and Immunity.

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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