R.J. Chappel

39 total papers · 766 total citations
35 papers, 562 citations indexed

About

R.J. Chappel is a scholar working on Small Animals, Parasitology and Infectious Diseases. According to data from OpenAlex, R.J. Chappel has authored 35 papers receiving a total of 562 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Small Animals, 16 papers in Parasitology and 8 papers in Infectious Diseases. Recurrent topics in R.J. Chappel's work include Leptospirosis research and findings (15 papers), Brucella: diagnosis, epidemiology, treatment (9 papers) and Monoclonal and Polyclonal Antibodies Research (7 papers). R.J. Chappel is often cited by papers focused on Leptospirosis research and findings (15 papers), Brucella: diagnosis, epidemiology, treatment (9 papers) and Monoclonal and Polyclonal Antibodies Research (7 papers). R.J. Chappel collaborates with scholars based in Australia, United States and United Kingdom. R.J. Chappel's co-authors include Ben Adler, G. S. Allan, J S Hayes, Martin Palmer, R. A. Hartskeerl, Marga G. A. Goris, S. Faine, G. Baranton, Fabrice Mérien and R.P. Herd and has published in prestigious journals such as Journal of Clinical Microbiology, INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY and International Journal for Parasitology.

In The Last Decade

R.J. Chappel

33 papers receiving 521 citations

Author Peers

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

Author						Papers	Cites
R.J. Chappel	356	234	156	57	55	35	562
Jair P. Cunha-Júnior	227 0.6×	88 0.4×	85 0.5×	146 2.6×	34 0.6×	39	540
J. W. Tyler	147 0.4×	190 0.8×	149 1.0×	40 0.7×	13 0.2×	42	690
Edita Jeklová	111 0.3×	124 0.5×	86 0.6×	50 0.9×	16 0.3×	29	504
Grant Rawlin	86 0.2×	194 0.8×	99 0.6×	110 1.9×	18 0.3×	36	547
Edward L. Jeska	307 0.9×	148 0.6×	95 0.6×	123 2.2×	20 0.4×	34	617
Sharon G. Witonsky	223 0.6×	178 0.8×	89 0.6×	130 2.3×	19 0.3×	44	694
Ana C. Silvestre‐Ferreira	206 0.6×	65 0.3×	274 1.8×	89 1.6×	19 0.3×	41	605
Hugo Vilhena	286 0.8×	121 0.5×	268 1.7×	66 1.2×	9 0.2×	39	556
S. M. Gaafar	212 0.6×	243 1.0×	198 1.3×	81 1.4×	5 0.1×	70	648
Michael van Straten	82 0.2×	65 0.3×	159 1.0×	38 0.7×	50 0.9×	24	544

Countries citing papers authored by R.J. Chappel

Since Specialization

Citations

This map shows the geographic impact of R.J. Chappel'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. Chappel 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. Chappel more than expected).

Fields of papers citing papers by R.J. Chappel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R.J. Chappel

This figure shows the co-authorship network connecting the top 25 collaborators of R.J. Chappel. A scholar is included among the top collaborators of R.J. Chappel 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. Chappel. R.J. Chappel 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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