Jayesh Gor
Impact in
- Immunology top 5%
- Complement system in diseases
- Hematology top 5%
- Platelet Disorders and Treatments
Papers in
-
- Glycosylation and Glycoproteins Research 14
- Protein purification and stability 9
- Immunology 22
- Complement system in diseases 20
- Co-authors
- Stephen J. Perkins (48 shared papers)Ruodan Nan (15 shared papers)Azubuike I. Okemefuna (5 shared papers)Ami Miller (6 shared papers)Sanaullah Khan (4 shared papers)Barbara Mulloy (4 shared papers)Paul A. Dalby (7 shared papers)Keying Li (4 shared papers)
- Journals
- Journal of Biological Chemistry (16 papers)Biochemical Journal (10 papers)Journal of Molecular Biology (9 papers)Molecular Immunology (4 papers)PLoS ONE (2 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Jayesh Gor
51 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 92
- Immunology 392
- Hematology 160
- Ophthalmology 107
- Radiology, Nuclear Medicine and Imaging 218
- Nephrology 64
Countries citing papers authored by Jayesh Gor
This map shows the geographic impact of Jayesh Gor'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 Jayesh Gor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jayesh Gor more than expected).
Fields of papers citing papers by Jayesh Gor
This network shows the impact of papers produced by Jayesh Gor. 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 Jayesh Gor. The network helps show where Jayesh Gor may publish in the future.
Co-authors
The 25 scholars most cited alongside Jayesh Gor, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 107 | |
| 2 | 2009 | 96 | |
| 3 | 2009 | 53 | |
| 4 | 2008 | 45 | |
| 5 | 2015 | 43 | |
| 6 | 2014 | 40 | |
| 7 | 2010 | 38 | |
| 8 | 2013 | 37 | |
| 9 | 2009 | 36 | |
| 10 | 2010 | 36 | |
| 11 | 2009 | 35 | |
| 12 | 2014 | 34 | |
| 13 | 2011 | 34 | |
| 14 | 2007 | 34 | |
| 15 | 2012 | 32 | |
| 16 | 2013 | 32 | |
| 17 | 2013 | 31 | |
| 18 | 2008 | 30 | |
| 19 | 2013 | 27 | |
| 20 | 2011 | 25 |
About Jayesh Gor
Jayesh Gor is a scholar working on Molecular Biology, Immunology, Radiology, Nuclear Medicine and Imaging, Physiology and Hematology, having authored 52 papers that have together received 1.1k indexed citations. Recurring topics across this work include Complement system in diseases (20 papers), Glycosylation and Glycoproteins Research (14 papers), Monoclonal and Polyclonal Antibodies Research (14 papers), Protein purification and stability (9 papers), Erythrocyte Function and Pathophysiology (9 papers), Blood groups and transfusion (6 papers), Cell Adhesion Molecules Research (5 papers) and Platelet Disorders and Treatments (4 papers). The work is most often cited by research in Immunology (392 citations), Hematology (160 citations), Ophthalmology (107 citations), Radiology, Nuclear Medicine and Imaging (218 citations) and Nephrology (64 citations). Jayesh Gor has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Stephen J. Perkins, Ruodan Nan, Azubuike I. Okemefuna, Ami Miller, Sanaullah Khan, Barbara Mulloy, Paul A. Dalby, Keying Li, Imre Lengyel and Richard K. Heenan. Their work appears in journals such as Journal of Biological Chemistry, Biochemical Journal, Journal of Molecular Biology, Molecular Immunology and PLoS ONE.
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.