JM Hopkin

409 total citations
12 papers, 298 citations indexed

About

JM Hopkin is a scholar working on Immunology, Pulmonary and Respiratory Medicine and Physiology. According to data from OpenAlex, JM Hopkin has authored 12 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 3 papers in Pulmonary and Respiratory Medicine and 3 papers in Physiology. Recurrent topics in JM Hopkin's work include Immune Cell Function and Interaction (4 papers), Immunodeficiency and Autoimmune Disorders (3 papers) and Asthma and respiratory diseases (3 papers). JM Hopkin is often cited by papers focused on Immune Cell Function and Interaction (4 papers), Immunodeficiency and Autoimmune Disorders (3 papers) and Asthma and respiratory diseases (3 papers). JM Hopkin collaborates with scholars based in United Kingdom, Japan and Italy. JM Hopkin's co-authors include Taro Shirakawa, X.‐Q. Mao, Tadao Enomoto, Morris Pj, Katsunori Yoshikawa, Tomoko Hashimoto, S. Sasaki, Tsutomu Yoshikawa, Jun-ichi Furuyama and K. Morimoto and has published in prestigious journals such as The Lancet, British Journal of Clinical Pharmacology and Clinical Genetics.

In The Last Decade

JM Hopkin

12 papers receiving 283 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
JM Hopkin United Kingdom	7	150	99	95	82	46	12	298
Р. М. Хаитов Russia	10	141 0.9×	93 0.9×	80 0.8×	41 0.5×	27 0.6×	47	347
Sally Wenzel United States	3	285 1.9×	189 1.9×	127 1.3×	81 1.0×	22 0.5×	5	429
Pedro Xavier‐Elsas Brazil	12	158 1.1×	161 1.6×	61 0.6×	24 0.3×	40 0.9×	34	364
Yannick Perrin Switzerland	5	81 0.5×	40 0.4×	150 1.6×	92 1.1×	17 0.4×	9	327
Gennadiy Drozdenko Germany	8	75 0.5×	170 1.7×	47 0.5×	79 1.0×	39 0.8×	8	401
Elizabeth C. Cates Canada	8	256 1.7×	237 2.4×	155 1.6×	30 0.4×	38 0.8×	13	461
Mathilde Turfkruyer France	8	145 1.0×	97 1.0×	163 1.7×	65 0.8×	98 2.1×	10	399
Krzysztof Specjalski Poland	9	106 0.7×	78 0.8×	54 0.6×	29 0.4×	24 0.5×	32	339
Jan Sinclair New Zealand	10	47 0.3×	79 0.8×	60 0.6×	26 0.3×	54 1.2×	21	280
Kathy McKenna Australia	10	245 1.6×	189 1.9×	113 1.2×	37 0.5×	59 1.3×	10	430

Countries citing papers authored by JM Hopkin

Since Specialization

Citations

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

Fields of papers citing papers by JM Hopkin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of JM Hopkin

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

All Works

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12 of 12 papers shown

1.

Hopkin, JM, et al.. (2004). Genetic variants of Fc&#949;RI&#946;and Il-4 and atopy in a Polish population. Allergologia et Immunopathologia. 32(2). 53–58. 4 indexed citations

2.

Bottini, Nunzio, Paola Borgiani, P. Saccucci, et al.. (2002). IL‐4 receptor alpha chain genetic polymorphism and total IgE levels in the English population: two‐locus haplotypes are more informative than individual SNPs. Clinical Genetics. 61(4). 288–292. 30 indexed citations

3.

Mao, X.‐Q., et al.. (1998). Association between asthma and an intragenic variant of CC16 on chromosome 11q13. Clinical Genetics. 53(1). 54–56. 13 indexed citations

4.

Adra, Chaker N., X.‐Q. Mao, Beverly W. Baron, et al.. (1998). Variants of B cell lymphoma 6 (BCL6) and marked atopy. Clinical Genetics. 54(4). 362–364. 8 indexed citations

5.

Hopkin, JM, et al.. (1997). Inverse Association between Tuberculin Responses and Atopic Disorder. Clinical Science. 92(s36). 7P–7P. 71 indexed citations

6.

Mao, X.‐Q., Taro Shirakawa, Tsutomu Yoshikawa, et al.. (1996). Association between genetic variants of mast-cell chymase and eczema. The Lancet. 348(9027). 581–583. 107 indexed citations

7.

Hopkin, JM. (1996). Molecular genetics of the high-affinity IgE receptor.. PubMed. 33. 97–108. 2 indexed citations

8.

Lynch, JR, et al.. (1990). Confirmation of Genetic Linkage to Atopy on Chromosome 11 in Sixty-Four Nuclear Families and Estimation of Heterogeneity. Clinical Science. 79(s23). 19P–19P. 2 indexed citations

9.

Hopkin, JM. (1990). Atopy and genetics. A review.. PubMed. 24(3). 159–60. 1 indexed citations

10.

Hopkin, JM, et al.. (1989). The risks and benefits of low-dose cotrimoxazole prophylaxis for Pneumocystis pneumonia in renal transplantation.. PubMed. 47(3). 558–60. 44 indexed citations

11.

Hopkin, JM, et al.. (1988). Linkage Analysyis with Restriction Fragment Length Polymorphisms (RFLP's) to Locate Immunoglobulin E Responsiveness Gene. Clinical Science. 75(s19). 11P–11P. 1 indexed citations

12.

Hopkin, JM, et al.. (1980). Failure of propranolol and metoprolol to alter ventilatory responses to carbon dioxide and exercise.. British Journal of Clinical Pharmacology. 9(5). 493–498. 15 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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