Robert Cafferkey

1.4k citations
16 papers · 1.2k indexed · h-index 14

Impact in

  • Aging top 10%
    • Signaling Pathways in Disease
    • PI3K/AKT/mTOR signaling in cancer
    • Fungal and yeast genetics research
    • Protein Kinase Regulation and GTPase Signaling
    • Polyamine Metabolism and Applications

Papers in

    • Toxin Mechanisms and Immunotoxins 7
    • Peptidase Inhibition and Analysis 8

Robert Cafferkey

16 papers receiving 1.1k citations

Peers

Robert Cafferkey
Comparison fields: 5 of 66
  • Aging 35
  • Molecular Biology 1.0k
  • Immunology 198
  • Oncology 249
  • Cell Biology 104
Replace Rubén Henríquez with:
Rubén Henríquez Switzerland
Benjamin Barré France
Nancy J. Bump United States
Shiro Soga Japan
Tilman Schneider‐Poetsch Japan
Ganachari M. Nagaraja United States
Hsiangling Teo Singapore
Joseph D. Koos United States
Josep V. Forment United Kingdom
Masayuki Kanai Japan
Robert Cafferkey relative to Rubén Henríquez Switzerland Rubén Henríquez's profile →
Citations per field
00.5×1.6×
Rubén Henríquez · 1×
Citations per year

Countries citing papers authored by Robert Cafferkey

Since Specialization
Citations

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

Fields of papers citing papers by Robert Cafferkey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

16 of 16 papers shown
#Work
1 20016
2 199444
3 199472
4 1994117
5 1993221
6 199328
7 1993159
8 199234
9 199226
10 1991188
11 199132
12 199132
13 1991140
14 198936
15 19889
16 198614

About Robert Cafferkey

Robert Cafferkey is a scholar working on Immunology, Oncology, Molecular Biology, Biotechnology and Genetics, having authored 16 papers that have together received 1.2k indexed citations. Recurring topics across this work include Signaling Pathways in Disease (9 papers), Peptidase Inhibition and Analysis (8 papers), Toxin Mechanisms and Immunotoxins (7 papers), Fungal and yeast genetics research (4 papers), RNA and protein synthesis mechanisms (3 papers), Insect Resistance and Genetics (3 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers) and RNA modifications and cancer (1 paper). The work is most often cited by research in Aging (35 citations), Molecular Biology (1.0k citations), Immunology (198 citations), Oncology (249 citations) and Cell Biology (104 citations). Robert Cafferkey has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Randall K. Johnson, Leo F. Faucette, Y. Koltin, Megan M. McLaughlin, George P. Livi, Derk J. Bergsma, Peter R. Young, G P Livi, Wai-Kwong Eng and Paul L. Koser. Their work appears in journals such as Gene, Molecular and Cellular Biology, Yeast, Nature Genetics and Genetics.

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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