Julia Gray

2.6k total citations · 1 hit paper
17 papers, 2.1k citations indexed

About

Julia Gray is a scholar working on Immunology, Pathology and Forensic Medicine and Molecular Biology. According to data from OpenAlex, Julia Gray has authored 17 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 7 papers in Pathology and Forensic Medicine and 6 papers in Molecular Biology. Recurrent topics in Julia Gray's work include Multiple Sclerosis Research Studies (7 papers), T-cell and B-cell Immunology (4 papers) and Immunotherapy and Immune Responses (3 papers). Julia Gray is often cited by papers focused on Multiple Sclerosis Research Studies (7 papers), T-cell and B-cell Immunology (4 papers) and Immunotherapy and Immune Responses (3 papers). Julia Gray collaborates with scholars based in United Kingdom, United States and Italy. Julia Gray's co-authors include Ermanno Gherardi, M. Benjamin Perryman, M. G. P. Stoker, David Clayton, Stephen Sawcer, Peter N. Goodfellow, Robert Feakes, Alastair Compston, Jeremy Chataway and Hywel B. Jones and has published in prestigious journals such as Nature, Science and Nature Genetics.

In The Last Decade

Julia Gray

17 papers receiving 2.1k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Scatter factor is a fibroblast-derived modulator of epithelial cell mobility

1987 1.2k citations M. G. P. Stoker, Ermanno Gherardi et al. Nature profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Julia Gray	897	820	499	458	370	17	2.1k
Karien M. Hamer	2.4k 2.7×	541 0.7×	197 0.4×	115 0.3×	766 2.1×	22	3.7k
Lothar J. Strobl	1.3k 1.4×	95 0.1×	542 1.1×	349 0.8×	243 0.7×	39	2.4k
Marcus Kretzschmar	2.7k 3.0×	114 0.1×	281 0.6×	277 0.6×	135 0.4×	12	3.3k
Monika Dohse	1.3k 1.4×	628 0.8×	265 0.5×	63 0.1×	910 2.5×	8	2.6k
Elizabeth Clayton	849 0.9×	141 0.2×	490 1.0×	72 0.2×	260 0.7×	22	1.9k
Li‐Ru You	1.3k 1.4×	362 0.4×	243 0.5×	41 0.1×	209 0.6×	38	2.2k
Amy E. Juedes	482 0.5×	81 0.1×	1.9k 3.8×	259 0.6×	128 0.3×	22	2.8k
L R Ellingsworth	1.2k 1.3×	61 0.1×	635 1.3×	118 0.3×	178 0.5×	14	2.4k
Katherine P. Ponder	1.4k 1.6×	472 0.6×	84 0.2×	72 0.2×	514 1.4×	83	3.4k
Jaspal S. Khillan	1.9k 2.1×	131 0.2×	335 0.7×	42 0.1×	179 0.5×	66	2.7k

Countries citing papers authored by Julia Gray

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Julia Gray

This figure shows the co-authorship network connecting the top 25 collaborators of Julia Gray. A scholar is included among the top collaborators of Julia Gray based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Julia Gray. Julia Gray is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

Toye, Philip, Ian Handel, Julia Gray, et al.. (2013). Maternal antibody uptake, duration and influence on survival and growth rate in a cohort of indigenous calves in a smallholder farming system in western Kenya. Veterinary Immunology and Immunopathology. 155(1-2). 129–134. 13 indexed citations

Goris, An, Melanie Maranian, Tai Wai Yeo, et al.. (2006). CD24 Ala/Val polymorphism and multiple sclerosis. Journal of Neuroimmunology. 175(1-2). 200–202. 24 indexed citations

Fenoglio, Chiara, Daniela Galimberti, Maria Ban, et al.. (2005). SELPLG and SELP single-nucleotide polymorphisms in multiple sclerosis. Neuroscience Letters. 394(2). 92–96. 11 indexed citations

Yeo, Tai Wai, Richard Roxburgh, Mel Maranian, et al.. (2003). Refining the analysis of a whole genome linkage disequilibrium association map: the United Kingdom results. Journal of Neuroimmunology. 143(1-2). 53–59. 23 indexed citations

Sawcer, Stephen, Mel Maranian, Efrosini Setakis, et al.. (2002). A whole genome screen for linkage disequilibrium in multiple sclerosis confirms disease associations with regions previously linked to susceptibility. Brain. 125(6). 1337–1347. 87 indexed citations

Feakes, Robert, Stephen Sawcer, Simon Broadley, et al.. (2000). Interleukin 1 receptor antagonist (IL-1ra) in multiple sclerosis. Journal of Neuroimmunology. 105(1). 96–101. 33 indexed citations

Feakes, Robert, Stephen Sawcer, Jeremy Chataway, et al.. (1999). Exploring the dense mapping of a region of potential linkage in complex disease: An example in multiple sclerosis. Genetic Epidemiology. 17(1). 51–63. 25 indexed citations

Chataway, Jeremy, Robert Feakes, Francesca Coraddu, et al.. (1999). A screen of candidates from peaks of linkage: evidence for the involvement of myeloperoxidase in multiple sclerosis. Journal of Neuroimmunology. 98(2). 208–213. 39 indexed citations

Chataway, Jeremy, Stephen Sawcer, David G. Sherman, et al.. (1999). No evidence for association of multiple sclerosis with the complement factors C6 and C7. Journal of Neuroimmunology. 99(1). 150–156. 7 indexed citations

10.

Chataway, Jeremy, Francesca Coraddu, Robert Feakes, et al.. (1999). Evidence that allelic variants of the spinocerebellar ataxia type 2 gene influence susceptibility to multiple sclerosis. Neurogenetics. 2(2). 91–96. 19 indexed citations

11.

Coraddu, Francesca, Robert Feakes, Jeremy Chataway, et al.. (1998). HLA typing in the United Kingdom multiple sclerosis genome screen. Neurogenetics. 2(1). 24–33. 45 indexed citations

12.

Sawcer, Stephen, Hywel B. Jones, Robert Feakes, et al.. (1996). A genome screen in multiple sclerosis reveals susceptibility loci on chromosome 6p21 and 17q22. Nature Genetics. 13(4). 464–468. 498 indexed citations

13.

Chinoy, Catherine, Katrien M. Devos, David Bringloe, et al.. (1991). Chromosomal location of the genes for ferredoxin in wheat, barley and rye. Theoretical and Applied Genetics. 82(1). 1–2. 11 indexed citations

14.

Stern, Claudio D., Grenham W. Ireland, Sarah E. Herrick, et al.. (1990). Epithelial scatter factor and development of the chick embryonic axis. Development. 110(4). 1271–1284. 94 indexed citations

15.

Stoker, M. G. P., Ermanno Gherardi, M. Benjamin Perryman, & Julia Gray. (1987). Scatter factor is a fibroblast-derived modulator of epithelial cell mobility. Nature. 327(6119). 239–242. 1161 indexed citations breakdown →

16.

Shangold, Mona M., Alan S. Berkeley, & Julia Gray. (1983). Both midluteal serum progesterone levels and late luteal endometrial histology should be assessed in all infertile women. Fertility and Sterility. 40(5). 627–630. 21 indexed citations

17.

Gray, Julia & E. W. Powell. (1952). Maintenance of Contraction of Embryonic Chick Hearts in Vitro. Science. 116(3009). 232–233. 2 indexed citations

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.

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