John Gamble

5.5k citations
12 papers · 325 indexed · h-index 8

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 2
    • Hedgehog Signaling Pathway Studies 1
    • Pancreatic function and diabetes 1

John Gamble

12 papers receiving 324 citations

Peers

John Gamble
Comparison fields: 5 of 62
  • Parasitology 29
  • Immunology 78
  • Reproductive Medicine 30
  • Microbiology 18
  • Oncology 68
Replace Marc Faber with:
Marc Faber United Kingdom
Lidia Hildebrand Pulz Brazil
F. Besème France
Yusuke Murase Japan
Mandy Womble United States
Yijun Yang China
D M Meredith United Kingdom
Shilpa Sanapala United States
Robert Jambou United States
Florian Paul Germany
John Gamble relative to Marc Faber United Kingdom Marc Faber's profile →
Citations per field
00.5×2.7×
Marc Faber · 1×
Citations per year

Countries citing papers authored by John Gamble

Since Specialization
Citations

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

Fields of papers citing papers by John Gamble

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2004112
2 202192
3 200547
4 198825
5
p53 is associated with a 35 kD protein in cells transformed by simian virus 40.
198912
6 202111
7 198511
8 19959
9 20143
10 20131
11 20191
12 20131

About John Gamble

John Gamble is a scholar working on Molecular Biology, Surgery, Oncology, Radiology, Nuclear Medicine and Imaging and Endocrinology, Diabetes and Metabolism, having authored 12 papers that have together received 325 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Invertebrate Immune Response Mechanisms (1 paper), Pancreatic function and diabetes (1 paper), Diabetes Management and Research (1 paper), Galectins and Cancer Biology (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper) and Hedgehog Signaling Pathway Studies (1 paper). The work is most often cited by research in Parasitology (29 citations), Immunology (78 citations), Reproductive Medicine (30 citations), Microbiology (18 citations) and Oncology (68 citations). John Gamble has collaborated with scholars based in United Kingdom, United States and Portugal. Frequent co-authors include Jo Milner, Pamela A. Knight, Alan D. Pemberton, Michael Pierce, Jin‐Kyu Lee, H. R. P. Miller, William H Colledge, Allan E. Herbison, Michael J. Skynner and R.J. Bicknell. Their work appears in journals such as Virology, The Journal of Immunology, Scientific Reports, Science and Journal of Neuroscience.

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.

Explore authors with similar magnitude of impact