R.J.G. Chalmers

39 total papers · 598 total citations
18 papers, 187 citations indexed

About

R.J.G. Chalmers is a scholar working on Dermatology, Immunology and Epidemiology. According to data from OpenAlex, R.J.G. Chalmers has authored 18 papers receiving a total of 187 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Dermatology, 7 papers in Immunology and 5 papers in Epidemiology. Recurrent topics in R.J.G. Chalmers's work include Psoriasis: Treatment and Pathogenesis (6 papers), Dermatology and Skin Diseases (4 papers) and Health Systems, Economic Evaluations, Quality of Life (3 papers). R.J.G. Chalmers is often cited by papers focused on Psoriasis: Treatment and Pathogenesis (6 papers), Dermatology and Skin Diseases (4 papers) and Health Systems, Economic Evaluations, Quality of Life (3 papers). R.J.G. Chalmers collaborates with scholars based in United Kingdom, United States and France. R.J.G. Chalmers's co-authors include C.E.M. Griffiths, M. Bhushan, Janet Marks, Caroline Owen, SJ Proctor, N.H. Cox, N. M. Craven, Gordon Armstrong, Joyce Pearson and Waqas Hussain and has published in prestigious journals such as Journal of the American Academy of Dermatology, British Journal of Sports Medicine and British Journal of Dermatology.

In The Last Decade

R.J.G. Chalmers

17 papers receiving 181 citations

Author Peers

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

Author						Papers	Cites
R.J.G. Chalmers	102	59	54	35	23	18	187
Shireen Sidhu	127 1.2×	63 1.1×	59 1.1×	52 1.5×	21 0.9×	24	232
Rosa Fernández‐Torres	141 1.4×	90 1.5×	65 1.2×	56 1.6×	11 0.5×	19	256
Muriel Sadlier	121 1.2×	131 2.2×	21 0.4×	42 1.2×	17 0.7×	17	229
Piotr Ciechanowicz	110 1.1×	92 1.6×	64 1.2×	32 0.9×	16 0.7×	22	280
Christina Sorbe	94 0.9×	61 1.0×	74 1.4×	19 0.5×	6 0.3×	19	184
Luigi Fornaro	91 0.9×	89 1.5×	45 0.8×	34 1.0×	5 0.2×	18	209
Ilias Papadimitriou	99 1.0×	42 0.7×	52 1.0×	35 1.0×	9 0.4×	27	203
Cristina Mugheddu	83 0.8×	116 2.0×	28 0.5×	25 0.7×	11 0.5×	22	199
Claudia de la Cruz	108 1.1×	159 2.7×	38 0.7×	25 0.7×	7 0.3×	16	271
R. Orsenigo	97 1.0×	137 2.3×	47 0.9×	41 1.2×	8 0.3×	22	239

Countries citing papers authored by R.J.G. Chalmers

Since Specialization

Citations

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

Fields of papers citing papers by R.J.G. Chalmers

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R.J.G. Chalmers. 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 R.J.G. Chalmers. The network helps show where R.J.G. Chalmers may publish in the future.

Co-authorship network of co-authors of R.J.G. Chalmers

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

All Works

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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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