Vicki Gamble
Impact in
- Genetics top 1%
- Genetic and Kidney Cyst Diseases
- Genetic Syndromes and Imprinting
- Molecular Biology top 10%
- Renal and related cancers
- Hedgehog Signaling Pathway Studies
Papers in
-
- Renal and related cancers 6
- Glycosylation and Glycoproteins Research 1
- Hedgehog Signaling Pathway Studies 1
- Genetics 7
- Genetic and Kidney Cyst Diseases 7
- Genetic Syndromes and Imprinting 5
- Co-authors
- Peter C. Harris (7 shared papers)Belén Peral (7 shared papers)Christopher J. Ward (3 shared papers)Jim R. Hughes (2 shared papers)Kevin Clark (1 shared paper)Richard Aspinwall (1 shared paper)José L. San Millán (1 shared paper)Mark Nellist (1 shared paper)
- Journals
- Nature Genetics (2 papers)The American Journal of Human Genetics (2 papers)Human Mutation (1 paper)Human Molecular Genetics (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United KingdomIndiaSpain
In The Last Decade
Vicki Gamble
8 papers receiving 1.5k citations
Vicki Gamble's Hit Papers
Peers
Comparison fields: 5 of 72
- Genetics 1.3k
- Molecular Biology 1.2k
- Pathology and Forensic Medicine 269
- Nephrology 85
- Physiology 215
Countries citing papers authored by Vicki Gamble
This map shows the geographic impact of Vicki 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 Vicki Gamble with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vicki Gamble more than expected).
Fields of papers citing papers by Vicki Gamble
This network shows the impact of papers produced by Vicki 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 Vicki Gamble. The network helps show where Vicki Gamble may publish in the future.
Co-authors
The 25 scholars most cited alongside Vicki Gamble, 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 | The polycystic kidney disease 1 (PKD1) gene encodes a novel protein with multiple cell recognition domains Hit paper breakdown → | 1995 | 707 |
| 2 | 1994 | 355 | |
| 3 | 2001 | 165 | |
| 4 | Screening the 3' region of the polycystic kidney disease 1 (PKD1) gene reveals six novel mutations. | 1996 | 99 |
| 5 | 1997 | 87 | |
| 6 | 1995 | 76 | |
| 7 | 1993 | 45 | |
| 8 | 1998 | 16 |
About Vicki Gamble
Vicki Gamble is a scholar working on Molecular Biology, Genetics, Surgery, Nephrology and Physiology, having authored 8 papers that have together received 1.6k indexed citations. Recurring topics across this work include Genetic and Kidney Cyst Diseases (7 papers), Renal and related cancers (6 papers), Genetic Syndromes and Imprinting (5 papers), Xenotransplantation and immune response (1 paper), Renal Diseases and Glomerulopathies (1 paper), Tuberous Sclerosis Complex Research (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Hedgehog Signaling Pathway Studies (1 paper). The work is most often cited by research in Genetics (1.3k citations), Molecular Biology (1.2k citations), Pathology and Forensic Medicine (269 citations), Nephrology (85 citations) and Physiology (215 citations). Vicki Gamble has collaborated with scholars based in United Kingdom, India and Spain. Frequent co-authors include Peter C. Harris, Belén Peral, Christopher J. Ward, Jim R. Hughes, Kevin Clark, Richard Aspinwall, José L. San Millán, Mark Nellist, Magitha M. Maheshwar and Peter Thompson. Their work appears in journals such as Nature Genetics, The American Journal of Human Genetics, Human Mutation, Human Molecular Genetics and Journal of Biological Chemistry.
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.