Josh Gray

456 total citations
8 papers, 320 citations indexed

About

Josh Gray is a scholar working on Epidemiology, General Health Professions and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Josh Gray has authored 8 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 2 papers in General Health Professions and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Josh Gray's work include Influenza Virus Research Studies (4 papers), Data-Driven Disease Surveillance (4 papers) and COVID-19 epidemiological studies (2 papers). Josh Gray is often cited by papers focused on Influenza Virus Research Studies (4 papers), Data-Driven Disease Surveillance (4 papers) and COVID-19 epidemiological studies (2 papers). Josh Gray collaborates with scholars based in United States. Josh Gray's co-authors include Mauricio Santillana, John S. Brownstein, Anna Zink, Charles M. Heilig, S. C. Kou, Gery P. Guy, Shihao Yang, Macarena C. García, Michael F. Iademarco and Katherine Hempstead and has published in prestigious journals such as New England Journal of Medicine, MMWR Morbidity and Mortality Weekly Report and Annals of Epidemiology.

In The Last Decade

Josh Gray

8 papers receiving 310 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Josh Gray United States	6	195	132	83	45	34	8	320
Catherine DiGennaro United States	12	137 0.7×	181 1.4×	55 0.7×	50 1.1×	16 0.5×	19	408
Tse Yang Lim United States	7	76 0.4×	96 0.7×	64 0.8×	17 0.4×	8 0.2×	13	237
B. Casey Lyons United States	9	187 1.0×	260 2.0×	12 0.1×	39 0.9×	44 1.3×	14	347
Chee Peng Hor Malaysia	10	48 0.2×	128 1.0×	30 0.4×	31 0.7×		15	356
Anna Palmer Australia	10	158 0.8×	62 0.5×	40 0.5×	11 0.2×	6 0.2×	15	262
Bernadette Sewell United Kingdom	9	86 0.4×	49 0.4×	3 0.0×	54 1.2×	18 0.5×	33	346
Alexandra Ziemann Netherlands	10	88 0.5×	46 0.3×	18 0.2×	114 2.5×	4 0.1×	31	297
Francis X. Campion United States	9	56 0.3×	124 0.9×	3 0.0×	74 1.6×	10 0.3×	19	296
Sione Crawford Australia	9	211 1.1×	99 0.8×	5 0.1×	82 1.8×	6 0.2×	24	297
Yitayeh Belsti Ethiopia	10	70 0.4×	24 0.2×	43 0.5×	25 0.6×		26	365

Countries citing papers authored by Josh Gray

Since Specialization

Citations

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

Fields of papers citing papers by Josh Gray

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Josh Gray

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

All Works

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8 of 8 papers shown

Baltrusaitis, Kristin, et al.. (2019). Differences in Regional Patterns of Influenza Activity Across Surveillance Systems in the United States: Comparative Evaluation. JMIR Public Health and Surveillance. 5(4). e13403–e13403. 11 indexed citations

García, Macarena C., Charles M. Heilig, Scott Lee, et al.. (2019). Opioid Prescribing Rates in Nonmetropolitan and Metropolitan Counties Among Primary Care Providers Using an Electronic Health Record System — United States, 2014–2017. MMWR Morbidity and Mortality Weekly Report. 68(2). 25–30. 95 indexed citations

Lu, Fred, Kristin Baltrusaitis, Manan Shah, et al.. (2018). Accurate Influenza Monitoring and Forecasting Using Novel Internet Data Streams: A Case Study in the Boston Metropolis. JMIR Public Health and Surveillance. 4(1). e4–e4. 67 indexed citations

Baltrusaitis, Kristin, John S. Brownstein, Samuel V. Scarpino, et al.. (2018). Comparison of crowd-sourced, electronic health records based, and traditional health-care based influenza-tracking systems at multiple spatial resolutions in the United States of America. BMC Infectious Diseases. 18(1). 403–403. 36 indexed citations

Barnett, Michael L., Josh Gray, Anna Zink, & Anupam B. Jena. (2017). Coupling Policymaking with Evaluation — The Case of the Opioid Crisis. New England Journal of Medicine. 377(24). 2306–2309. 39 indexed citations

Yang, Shihao, et al.. (2017). Using electronic health records and Internet search information for accurate influenza forecasting. BMC Infectious Diseases. 17(1). 332–332. 67 indexed citations

García, Macarena C., Anna Zink, Margaret M. Faul, et al.. (2017). Higher opioid prescribing rates among primary care providers in rural vs. urban counties – United States, 2014–2017. Annals of Epidemiology. 27(8). 517–518. 4 indexed citations

Hempstead, Katherine, Josh Gray, & Anna Zink. (2017). Reframing the unaffordability debate: patient responsibility for physician care.. PubMed. 23(11). 690–692. 1 indexed citations

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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