Rachel Pryor

54 total papers · 531 total citations
33 papers, 296 citations indexed

About

Rachel Pryor is a scholar working on Infectious Diseases, General Health Professions and Epidemiology. According to data from OpenAlex, Rachel Pryor has authored 33 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Infectious Diseases, 10 papers in General Health Professions and 5 papers in Epidemiology. Recurrent topics in Rachel Pryor's work include Infection Control in Healthcare (12 papers), Healthcare cost, quality, practices (9 papers) and COVID-19 and Mental Health (4 papers). Rachel Pryor is often cited by papers focused on Infection Control in Healthcare (12 papers), Healthcare cost, quality, practices (9 papers) and COVID-19 and Mental Health (4 papers). Rachel Pryor collaborates with scholars based in United States, Canada and Pakistan. Rachel Pryor's co-authors include Gonzalo Bearman, Michael Stevens, Michelle Doll, Emily Godbout, Kaila Cooper, Robin R. Hemphill, Nadia Masroor, Shelley Knowlson, Kakotan Sanogo and Michael B. Edmond and has published in prestigious journals such as SHILAP Revista de lepidopterología, Infection Control and Hospital Epidemiology and Journal of Hospital Infection.

In The Last Decade

Rachel Pryor

31 papers receiving 290 citations

Author Peers

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

Author						Papers	Cites
Rachel Pryor	123	70	56	52	45	33	296
Julia Mantey	156 1.3×	61 0.9×	54 1.0×	71 1.4×	56 1.2×	28	321
Nadia Masroor	210 1.7×	32 0.5×	45 0.8×	41 0.8×	35 0.8×	27	355
Stéphane Bouchoucha	79 0.6×	45 0.6×	34 0.6×	59 1.1×	25 0.6×	48	324
Florian Salm	61 0.5×	111 1.6×	62 1.1×	76 1.5×	15 0.3×	20	362
Ella Ebadi	140 1.1×	61 0.9×	79 1.4×	27 0.5×	23 0.5×	23	354
Oriol Estrada	84 0.7×	47 0.7×	73 1.3×	56 1.1×	14 0.3×	35	324
Brijendra Kumar Rao	119 1.0×	105 1.5×	61 1.1×	20 0.4×	27 0.6×	16	310
Philip W. Lam	54 0.4×	34 0.5×	59 1.1×	21 0.4×	44 1.0×	41	295
Kwee Yuen Tan	88 0.7×	47 0.7×	53 0.9×	16 0.3×	51 1.1×	12	268
JaHyun Kang	120 1.0×	16 0.2×	40 0.7×	36 0.7×	61 1.4×	24	357

Countries citing papers authored by Rachel Pryor

Since Specialization

Citations

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

Fields of papers citing papers by Rachel Pryor

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rachel Pryor

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact