Gavin Pickett
Impact in
- Nephrology top 10%
- Dialysis and Renal Disease Management
-
- Endometrial and Cervical Cancer Treatments
Papers in
-
- NF-κB Signaling Pathways 2
- Cancer Genomics and Diagnostics 1
- Co-authors
- David S. Peabody (1 shared paper)Kimberly Kay Leslie (5 shared papers)Lina Albitar (2 shared papers)Donghai Dai (3 shared papers)Tamara Roitbak (2 shared papers)Vallabh O. Shah (2 shared papers)Pope Lloyd Moseley (2 shared papers)Dominic S. Raj (2 shared papers)
- Journals
- Gynecologic Oncology (3 papers)Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease (1 paper)Molecular Carcinogenesis (1 paper)Cytokine (1 paper)Pediatric Blood & Cancer (1 paper)
- Partner nations
- United StatesAustraliaItaly
In The Last Decade
Gavin Pickett
17 papers receiving 674 citations
Peers
Comparison fields: 5 of 78
- Nephrology 55
- Obstetrics and Gynecology 40
- Cancer Research 77
- Immunology 94
- Molecular Biology 268
Countries citing papers authored by Gavin Pickett
This map shows the geographic impact of Gavin Pickett'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 Gavin Pickett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gavin Pickett more than expected).
Fields of papers citing papers by Gavin Pickett
This network shows the impact of papers produced by Gavin Pickett. 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 Gavin Pickett. The network helps show where Gavin Pickett may publish in the future.
Co-authors
The 25 scholars most cited alongside Gavin Pickett, 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 | 1993 | 99 | |
| 2 | 2005 | 84 | |
| 3 | 2011 | 61 | |
| 4 | 2007 | 55 | |
| 5 | 2004 | 52 | |
| 6 | 2009 | 49 | |
| 7 | 2010 | 45 | |
| 8 | 2007 | 43 | |
| 9 | 2008 | 34 | |
| 10 | 2010 | 33 | |
| 11 | 2010 | 31 | |
| 12 | 2016 | 30 | |
| 13 | 2011 | 24 | |
| 14 | 2009 | 21 | |
| 15 | 2005 | 16 | |
| 16 | 1981 | 6 | |
| 17 | 2010 | 2 |
About Gavin Pickett
Gavin Pickett is a scholar working on Cancer Research, Molecular Biology, Immunology, Genetics and Developmental Neuroscience, having authored 17 papers that have together received 685 indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (2 papers), Estrogen and related hormone effects (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), Mast cells and histamine (1 paper), Cancer Genomics and Diagnostics (1 paper), Immune Cell Function and Interaction (1 paper), Dialysis and Renal Disease Management (1 paper) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper). The work is most often cited by research in Nephrology (55 citations), Obstetrics and Gynecology (40 citations), Cancer Research (77 citations), Immunology (94 citations) and Molecular Biology (268 citations). Gavin Pickett has collaborated with scholars based in United States, Australia and Italy. Frequent co-authors include David S. Peabody, Kimberly Kay Leslie, Lina Albitar, Donghai Dai, Tamara Roitbak, Vallabh O. Shah, Pope Lloyd Moseley, Dominic S. Raj, Scott A. Ness and Elizabeth A. Dominic. Their work appears in journals such as Gynecologic Oncology, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, Molecular Carcinogenesis, Cytokine and Pediatric Blood & Cancer.
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.