Gerard Barron

1.4k total citations
8 papers, 500 citations indexed

About

Gerard Barron is a scholar working on Pathology and Forensic Medicine, Neurology and Animal Science and Zoology. According to data from OpenAlex, Gerard Barron has authored 8 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pathology and Forensic Medicine, 3 papers in Neurology and 3 papers in Animal Science and Zoology. Recurrent topics in Gerard Barron's work include Herpesvirus Infections and Treatments (3 papers), Peripheral Neuropathies and Disorders (3 papers) and Multiple Sclerosis Research Studies (3 papers). Gerard Barron is often cited by papers focused on Herpesvirus Infections and Treatments (3 papers), Peripheral Neuropathies and Disorders (3 papers) and Multiple Sclerosis Research Studies (3 papers). Gerard Barron collaborates with scholars based in United States, United Kingdom and Germany. Gerard Barron's co-authors include K. Howes, L. N. Payne, L. M. Smith, Siti Suri Arshad, Venugopal Nair, Eliezer Katz, Susan Brown, J. C. McKay, S. McLeod and Soraya Madani and has published in prestigious journals such as Neurology, Virus Research and Multiple Sclerosis Journal.

In The Last Decade

Gerard Barron

8 papers receiving 479 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gerard Barron United States	7	218	196	188	137	88	8	500
P. W. Tuke United Kingdom	12	237 1.1×	87 0.4×	255 1.4×	53 0.4×	30 0.3×	15	815
Hidetoshi Ikeda Japan	16	178 0.8×	69 0.4×	70 0.4×	234 1.7×	153 1.7×	38	754
Xiaoli Yu United States	18	160 0.7×	416 2.1×	329 1.8×	198 1.4×	19 0.2×	50	889
Jonathan G. Pope United States	9	70 0.3×	137 0.7×	567 3.0×	39 0.3×	38 0.4×	11	863
J. F. Moura Nunes Portugal	14	111 0.5×	78 0.4×	60 0.3×	60 0.4×	26 0.3×	27	549
Claudia N. Detje Germany	11	119 0.5×	84 0.4×	470 2.5×	42 0.3×	21 0.2×	14	799
J. R. Anderson United Kingdom	13	327 1.5×	38 0.2×	63 0.3×	163 1.2×	19 0.2×	17	623
Quangang Xu China	16	63 0.3×	517 2.6×	178 0.9×	397 2.9×	19 0.2×	81	932
Alastair K. Foote United Kingdom	13	72 0.3×	110 0.6×	62 0.3×	19 0.1×	28 0.3×	43	591
K Yamaguchi Japan	12	207 0.9×	32 0.2×	401 2.1×	13 0.1×	54 0.6×	44	785

Countries citing papers authored by Gerard Barron

Since Specialization

Citations

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

Fields of papers citing papers by Gerard Barron

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gerard Barron

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

All Works

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8 of 8 papers shown

Cree, Bruce, Jeffrey L. Bennett, Ho Jin Kim, et al.. (2019). A Double-masked, Placebo-controlled Study with Open-label Period to Evaluate the Efficacy and Safety of Inebilizumab in Adult Subjects with Neuromyelitis Optica Spectrum Disorders–Top line efficacy and safety results (Plen02.001). Neurology. 92(15_supplement). 4 indexed citations

Keisler, Aysha, Masayuki Haramura, Athos Gianella-Borradori, et al.. (2019). Neuromyelitis optica spectrum disorder. Neurology Neuroimmunology & Neuroinflammation. 6(4). e580–e580. 95 indexed citations

Agius, Mark, Gabriela Kłodowska-Duda, Maciej Maciejowski, et al.. (2017). Safety and tolerability of inebilizumab (MEDI-551), an anti-CD19 monoclonal antibody, in patients with relapsing forms of multiple sclerosis: Results from a phase 1 randomised, placebo-controlled, escalating intravenous and subcutaneous dose study. Multiple Sclerosis Journal. 25(2). 235–245. 97 indexed citations

Cree, Bruce, Jeffrey L. Bennett, Mark Sheehan, et al.. (2015). Placebo-controlled study in neuromyelitis optica—Ethical and design considerations. Multiple Sclerosis Journal. 22(7). 862–872. 52 indexed citations

Smith, L. M., Susan Brown, K. Howes, et al.. (1998). Development and application of polymerase chain reaction (PCR) tests for the detection of subgroup J avian leukosis virus. Virus Research. 54(1). 87–98. 155 indexed citations

Smith, L. M., K. Howes, Siti Suri Arshad, et al.. (1998). Development and application of PCR tests for the detection of subgroup J avian leukosis virus. Avian Pathology. 27(sup1). S90–S91. 9 indexed citations

Arshad, Siti Suri, K. Howes, Gerard Barron, et al.. (1997). Tissue Tropism of the HPRS-103 Strain of J Subgroup Avian Leukosis Virus and of a Derivative Acutely Transforming Virus. Veterinary Pathology. 34(2). 127–137. 53 indexed citations

Nair, Venugopal, K. Howes, Gerard Barron, & L. N. Payne. (1997). Recombinant env-gp85 of HPRS-103 (Subgroup J) Avian Leukosis Virus: Antigenic Characteristics and Usefulness as a Diagnostic Reagent. Avian Diseases. 41(2). 283–283. 35 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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