Robert Feakes

1.1k total citations
9 papers, 702 citations indexed

About

Robert Feakes is a scholar working on Pathology and Forensic Medicine, Immunology and Molecular Biology. According to data from OpenAlex, Robert Feakes has authored 9 papers receiving a total of 702 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pathology and Forensic Medicine, 5 papers in Immunology and 4 papers in Molecular Biology. Recurrent topics in Robert Feakes's work include Multiple Sclerosis Research Studies (5 papers), Immunotherapy and Immune Responses (2 papers) and Chromosomal and Genetic Variations (2 papers). Robert Feakes is often cited by papers focused on Multiple Sclerosis Research Studies (5 papers), Immunotherapy and Immune Responses (2 papers) and Chromosomal and Genetic Variations (2 papers). Robert Feakes collaborates with scholars based in United Kingdom and Canada. Robert Feakes's co-authors include Julia Gray, Peter N. Goodfellow, David Clayton, Jeremy Chataway, Hywel B. Jones, Alastair Compston, Stephen Sawcer, Neil P. Robertson, Simon Broadley and Francesca Coraddu and has published in prestigious journals such as Nature Genetics, Genomics and Journal of Neuroimmunology.

In The Last Decade

Robert Feakes

9 papers receiving 683 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Robert Feakes United Kingdom 8 331 316 197 164 111 9 702
Satu Kuokkanen United States 14 530 1.6× 297 0.9× 279 1.4× 226 1.4× 88 0.8× 24 1.0k
Yufen Qin United States 14 598 1.8× 289 0.9× 152 0.8× 74 0.5× 141 1.3× 24 911
B. Kitze Germany 10 607 1.8× 467 1.5× 141 0.7× 22 0.1× 136 1.2× 19 990
Frida Lundmark Sweden 7 269 0.8× 194 0.6× 101 0.5× 52 0.3× 70 0.6× 8 440
Juan J. Lafaille United States 7 511 1.5× 95 0.3× 254 1.3× 76 0.5× 41 0.4× 10 819
Dan Schaid United States 7 115 0.3× 179 0.6× 88 0.4× 88 0.5× 64 0.6× 8 430
Gurbax S. Sekhon United States 17 137 0.4× 61 0.2× 596 3.0× 522 3.2× 18 0.2× 42 1.1k
Christine Ewing Australia 7 574 1.7× 252 0.8× 158 0.8× 36 0.2× 113 1.0× 8 883
Ryuji Miyagishi Japan 13 283 0.9× 251 0.8× 96 0.5× 28 0.2× 141 1.3× 21 578
Roger D. Stone United States 13 204 0.6× 397 1.3× 150 0.8× 20 0.1× 124 1.1× 19 717

Countries citing papers authored by Robert Feakes

Since Specialization
Citations

This map shows the geographic impact of Robert Feakes'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 Robert Feakes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Feakes more than expected).

Fields of papers citing papers by Robert Feakes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert Feakes. 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 Robert Feakes. The network helps show where Robert Feakes may publish in the future.

Co-authorship network of co-authors of Robert Feakes

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Feakes. A scholar is included among the top collaborators of Robert Feakes 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 Robert Feakes. Robert Feakes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
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
2.
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
3.
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
4.
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
5.
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
6.
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
7.
Schmitt, Karin, et al.. (1996). Construction of a Mouse Whole-Genome Radiation Hybrid Panel and Application to MMU11. Genomics. 34(2). 193–197. 24 indexed citations
8.
Foster, Jamie W., Alan J. Schafer, Ricky Critcher, et al.. (1996). A High-Resolution Whole Genome Radiation Hybrid Map of Human Chromosome 17q22–q25.3 across the Genes forGHandTK. Genomics. 33(2). 185–192. 12 indexed citations
9.
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

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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