Jennifer Riley

76 total papers · 2.3k total citations
36 papers, 639 citations indexed

About

Jennifer Riley is a scholar working on Epidemiology, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Jennifer Riley has authored 36 papers receiving a total of 639 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Epidemiology, 10 papers in Molecular Biology and 10 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Jennifer Riley's work include Trypanosoma species research and implications (8 papers), Research on Leishmaniasis Studies (7 papers) and Synthesis and Biological Evaluation (5 papers). Jennifer Riley is often cited by papers focused on Trypanosoma species research and implications (8 papers), Research on Leishmaniasis Studies (7 papers) and Synthesis and Biological Evaluation (5 papers). Jennifer Riley collaborates with scholars based in United Kingdom, United States and Spain. Jennifer Riley's co-authors include Kevin D. Read, Benjamin D. Hall, John W. Stiller, Gemma L. Baillie, John Thomas, Matteo Zanda, Ruth A. Ross, Manu De Rycker, David W. Gray and Stephen Brough and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Medicinal Chemistry.

In The Last Decade

Jennifer Riley

34 papers receiving 619 citations

Author Peers

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

Author						Papers	Cites
Jennifer Riley	282	149	134	123	104	36	639
M.K. Basu	220 0.8×	112 0.8×	81 0.6×	188 1.5×	24 0.2×	31	631
Christopher J. Dutton	203 0.7×	110 0.7×	35 0.3×	55 0.4×	86 0.8×	47	679
T. O’Brien	202 0.7×	120 0.8×	96 0.7×	31 0.3×	25 0.2×	37	648
Nyssa Drinkwater	315 1.1×	100 0.7×	81 0.6×	142 1.2×	13 0.1×	36	641
M.A. Higgins	484 1.7×	214 1.4×	136 1.0×	98 0.8×	32 0.3×	30	789
Vassil St. Georgiev	222 0.8×	383 2.6×	98 0.7×	30 0.2×	25 0.2×	103	790
Virginia B. Waits	208 0.7×	136 0.9×	263 2.0×	373 3.0×	13 0.1×	26	723
Annette Kaiser	376 1.3×	94 0.6×	50 0.4×	94 0.8×	50 0.5×	43	562
Patrick Weber	311 1.1×	90 0.6×	73 0.5×	42 0.3×	26 0.3×	39	599
M. Coincon	377 1.3×	41 0.3×	84 0.6×	46 0.4×	38 0.4×	21	672

Countries citing papers authored by Jennifer Riley

Since Specialization

Citations

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

Fields of papers citing papers by Jennifer Riley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Riley

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Riley. A scholar is included among the top collaborators of Jennifer Riley 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 Jennifer Riley. Jennifer Riley 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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