Julia Gray
Impact in
- Hepatology top 1%
- Liver physiology and pathology
-
- Multiple Sclerosis Research Studies
Papers in
-
- T-cell and B-cell Immunology 4
- Immunotherapy and Immune Responses 3
-
- Multiple Sclerosis Research Studies 7
- Co-authors
- Ermanno Gherardi (2 shared papers)M. Benjamin Perryman (2 shared papers)M. G. P. Stoker (2 shared papers)Stephen Sawcer (10 shared papers)David Clayton (8 shared papers)Peter N. Goodfellow (7 shared papers)Robert Feakes (7 shared papers)Alastair Compston (8 shared papers)
- Journals
- Journal of Neuroimmunology (5 papers)Neurogenetics (2 papers)Fertility and Sterility (1 paper)Theoretical and Applied Genetics (1 paper)Genetic Epidemiology (1 paper)
- Partner nations
- United KingdomUnited StatesBelgium
In The Last Decade
Julia Gray
17 papers receiving 2.1k citations
Julia Gray's Hit Papers
Peers
Comparison fields: 5 of 95
- Hepatology 822
- Pathology and Forensic Medicine 472
- Immunology 489
- Immunology and Allergy 94
- Oncology 338
Countries citing papers authored by Julia Gray
This map shows the geographic impact of Julia Gray'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 Julia Gray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia Gray more than expected).
Fields of papers citing papers by Julia Gray
This network shows the impact of papers produced by Julia Gray. 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 Julia Gray. The network helps show where Julia Gray may publish in the future.
Co-authors
The 25 scholars most cited alongside Julia Gray, 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 | Scatter factor is a fibroblast-derived modulator of epithelial cell mobility Hit paper breakdown → | 1987 | 1212 |
| 2 | A genome screen in multiple sclerosis reveals susceptibility loci on chromosome 6p21 and 17q22 Hit paper breakdown → | 1996 | 523 |
| 3 | 1990 | 102 | |
| 4 | 2002 | 91 | |
| 5 | 1998 | 48 | |
| 6 | 1999 | 38 | |
| 7 | 2000 | 34 | |
| 8 | 1983 | 26 | |
| 9 | 1999 | 25 | |
| 10 | 2006 | 24 | |
| 11 | 2003 | 22 | |
| 12 | 1999 | 21 | |
| 13 | 2013 | 13 | |
| 14 | 1991 | 12 | |
| 15 | 2005 | 11 | |
| 16 | 1999 | 7 | |
| 17 | 1952 | 3 |
About Julia Gray
Julia Gray is a scholar working on Immunology, Pathology and Forensic Medicine, Molecular Biology, Plant Science and Rheumatology, having authored 17 papers that have together received 2.2k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (7 papers), T-cell and B-cell Immunology (4 papers), Immunotherapy and Immune Responses (3 papers), Chromosomal and Genetic Variations (3 papers), Systemic Lupus Erythematosus Research (2 papers), Wheat and Barley Genetics and Pathology (2 papers), Amyotrophic Lateral Sclerosis Research (1 paper) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Hepatology (822 citations), Pathology and Forensic Medicine (472 citations), Immunology (489 citations), Immunology and Allergy (94 citations) and Oncology (338 citations). Julia Gray has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Ermanno Gherardi, M. Benjamin Perryman, M. G. P. Stoker, Stephen Sawcer, David Clayton, Peter N. Goodfellow, Robert Feakes, Alastair Compston, Jeremy Chataway and Hywel B. Jones. Their work appears in journals such as Journal of Neuroimmunology, Neurogenetics, Fertility and Sterility, Theoretical and Applied Genetics and Genetic Epidemiology.
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.