Gregg S. Davis

30 total papers · 1.2k total citations
20 papers, 770 citations indexed

About

Gregg S. Davis is a scholar working on Epidemiology, Microbiology and Molecular Medicine. According to data from OpenAlex, Gregg S. Davis has authored 20 papers receiving a total of 770 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 6 papers in Microbiology and 5 papers in Molecular Medicine. Recurrent topics in Gregg S. Davis's work include Pneumonia and Respiratory Infections (7 papers), Bacterial Infections and Vaccines (6 papers) and Salmonella and Campylobacter epidemiology (5 papers). Gregg S. Davis is often cited by papers focused on Pneumonia and Respiratory Infections (7 papers), Bacterial Infections and Vaccines (6 papers) and Salmonella and Campylobacter epidemiology (5 papers). Gregg S. Davis collaborates with scholars based in United States, Denmark and Chile. Gregg S. Davis's co-authors include Lance B. Price, Cindy M. Liu, Lora Nordstrom, Brett Weaver, Joseph Horwinski, Kara Waits, Bruce A. Hungate, Benjamin J. Koch, Harry L. T. Mobley and Maliha Aziz and has published in prestigious journals such as Clinical Infectious Diseases, Journal of Clinical Microbiology and Infection and Immunity.

In The Last Decade

Gregg S. Davis

20 papers receiving 760 citations

Author Peers

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

Author						Papers	Cites
Gregg S. Davis	377	222	182	164	164	20	770
Anne‐Kathrin Schink	506 1.3×	265 1.2×	179 1.0×	162 1.0×	251 1.5×	17	846
Mohamed Abd El-Gawad El-Sayed Ahmed	620 1.6×	196 0.9×	114 0.6×	218 1.3×	194 1.2×	19	840
Badrul Hasan	548 1.5×	285 1.3×	193 1.1×	126 0.8×	272 1.7×	34	824
Mamata Gurung	371 1.0×	213 1.0×	139 0.8×	307 1.9×	88 0.5×	15	883
Agnieszka Jama−Kmiecik	299 0.8×	306 1.4×	212 1.2×	152 0.9×	64 0.4×	29	718
Hidetake Esaki	371 1.0×	203 0.9×	320 1.8×	164 1.0×	198 1.2×	24	775
Magdalena Frej−Mądrzak	299 0.8×	306 1.4×	215 1.2×	157 1.0×	64 0.4×	34	735
David C. Bean	392 1.0×	151 0.7×	113 0.6×	176 1.1×	136 0.8×	34	821
Wietske Dohmen	427 1.1×	172 0.8×	163 0.9×	132 0.8×	263 1.6×	19	723
Reham Wasfi	311 0.8×	148 0.7×	193 1.1×	331 2.0×	73 0.4×	23	824

Countries citing papers authored by Gregg S. Davis

Since Specialization

Citations

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

Fields of papers citing papers by Gregg S. Davis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregg S. Davis. 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 Gregg S. Davis. The network helps show where Gregg S. Davis may publish in the future.

Co-authorship network of co-authors of Gregg S. Davis

This figure shows the co-authorship network connecting the top 25 collaborators of Gregg S. Davis. A scholar is included among the top collaborators of Gregg S. Davis 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 Gregg S. Davis. Gregg S. Davis 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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