Jennifer Reed

26 total papers · 424 total citations
13 papers, 355 citations indexed

About

Jennifer Reed is a scholar working on Epidemiology, Immunology and Infectious Diseases. According to data from OpenAlex, Jennifer Reed has authored 13 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 3 papers in Immunology and 2 papers in Infectious Diseases. Recurrent topics in Jennifer Reed's work include Fungal Infections and Studies (2 papers), Antifungal resistance and susceptibility (2 papers) and Reproductive System and Pregnancy (2 papers). Jennifer Reed is often cited by papers focused on Fungal Infections and Studies (2 papers), Antifungal resistance and susceptibility (2 papers) and Reproductive System and Pregnancy (2 papers). Jennifer Reed collaborates with scholars based in United States, Canada and Spain. Jennifer Reed's co-authors include David Lyttle, Carol Hitchon, Guoping Ma, Hani El‐Gabalawy, Ivanna Ihnatovych, Zuzana Straková, Primal de Lanerolle, Timothy J. Yeatman, Abderrahman Ouban and Domenico Coppola and has published in prestigious journals such as The American Journal of Gastroenterology, Biology of Reproduction and Diseases of the Colon & Rectum.

In The Last Decade

Jennifer Reed

12 papers receiving 350 citations

Author Peers

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

Author						Papers	Cites
Jennifer Reed	125	105	101	60	54	13	355
Tamao Nakanishi	119 1.0×	70 0.7×	29 0.3×	59 1.0×	53 1.0×	12	339
Hiroyuki Hiraki	47 0.4×	109 1.0×	97 1.0×	36 0.6×	40 0.7×	15	372
May M.Y. Yu	76 0.6×	135 1.3×	61 0.6×	74 1.2×	46 0.9×	12	390
Tiina M. Järvinen	158 1.3×	83 0.8×	88 0.9×	31 0.5×	120 2.2×	14	390
Meixing Yu	134 1.1×	86 0.8×	31 0.3×	30 0.5×	31 0.6×	17	382
Doris Pieber	55 0.4×	111 1.1×	29 0.3×	42 0.7×	42 0.8×	13	317
Ron Rye	90 0.7×	121 1.2×	159 1.6×	55 0.9×	12 0.2×	8	383
Michael Stratis	57 0.5×	75 0.7×	149 1.5×	24 0.4×	40 0.7×	12	373
Susan Olalekan	175 1.4×	107 1.0×	80 0.8×	70 1.2×	39 0.7×	10	338
Vimlarani Chopra	68 0.5×	120 1.1×	95 0.9×	56 0.9×	6 0.1×	8	378

Countries citing papers authored by Jennifer Reed

Since Specialization

Citations

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

Fields of papers citing papers by Jennifer Reed

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Reed

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