Richard R. Davis

542 total citations
9 papers, 275 citations indexed

About

Richard R. Davis is a scholar working on Food Science, Physiology and Endocrinology. According to data from OpenAlex, Richard R. Davis has authored 9 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Food Science, 3 papers in Physiology and 3 papers in Endocrinology. Recurrent topics in Richard R. Davis's work include Salmonella and Campylobacter epidemiology (3 papers), Vibrio bacteria research studies (3 papers) and Spaceflight effects on biology (3 papers). Richard R. Davis is often cited by papers focused on Salmonella and Campylobacter epidemiology (3 papers), Vibrio bacteria research studies (3 papers) and Spaceflight effects on biology (3 papers). Richard R. Davis collaborates with scholars based in United States, Belgium and Ireland. Richard R. Davis's co-authors include Cheryl A. Nickerson, Aurélie Crabbé, C. Mark Ott, Jennifer Barrila, Seth D. Nydam, Jiseon Yang, Sandhya Gangaraju, Carolyn B. Coyne, Mina J. Bissell and Yulong Liu and has published in prestigious journals such as Scientific Reports, Journal of Bacteriology and Infection and Immunity.

In The Last Decade

Richard R. Davis

9 papers receiving 272 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Richard R. Davis United States	7	108	73	34	32	31	9	275
Yuetan Dou United States	12	253 2.3×	83 1.1×	21 0.6×	13 0.4×	59 1.9×	18	661
Carlos Piñero‐Lambea Spain	11	229 2.1×	88 1.2×	18 0.5×	17 0.5×	16 0.5×	17	421
Christelle Basset France	12	128 1.2×	17 0.2×	26 0.8×	37 1.2×	27 0.9×	20	455
Anubama Rajan United States	10	123 1.1×	48 0.7×	14 0.4×	86 2.7×	22 0.7×	18	332
Abdulelah A. Alqarzaee United States	8	203 1.9×	32 0.4×	17 0.5×	21 0.7×	13 0.4×	9	341
Siti Hanna Muharram Brunei	7	171 1.6×	29 0.4×	13 0.4×	16 0.5×	10 0.3×	13	313
Smriti Verma United States	10	157 1.5×	13 0.2×	14 0.4×	22 0.7×	16 0.5×	14	330
Brendan Dolan Sweden	12	156 1.4×	13 0.2×	61 1.8×	22 0.7×	34 1.1×	16	377
Roderick Allan Lawson United Kingdom	3	151 1.4×	18 0.2×	70 2.1×	25 0.8×	11 0.4×	4	333

Countries citing papers authored by Richard R. Davis

Since Specialization

Citations

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

Fields of papers citing papers by Richard R. Davis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard R. Davis

This figure shows the co-authorship network connecting the top 25 collaborators of Richard R. Davis. A scholar is included among the top collaborators of Richard R. 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 Richard R. Davis. Richard R. 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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9 of 9 papers shown

Barrila, Jennifer, Jiseon Yang, Sandhya Gangaraju, et al.. (2022). Role of RpoS in Regulating Stationary Phase Salmonella Typhimurium Pathogenesis-Related Stress Responses under Physiological Low Fluid Shear Force Conditions. mSphere. 7(4). e0021022–e0021022. 9 indexed citations

Barrila, Jennifer, Jiseon Yang, Shanshan Yang, et al.. (2022). Spaceflight Analogue Culture Enhances the Host-Pathogen Interaction Between Salmonella and a 3-D Biomimetic Intestinal Co-Culture Model. Frontiers in Cellular and Infection Microbiology. 12. 705647–705647. 11 indexed citations

Barrila, Jennifer, Aurélie Crabbé, Jiseon Yang, et al.. (2018). Modeling Host-Pathogen Interactions in the Context of the Microenvironment: Three-Dimensional Cell Culture Comes of Age. Infection and Immunity. 86(11). 122 indexed citations

Barrila, Jennifer, Jiseon Yang, Aurélie Crabbé, et al.. (2017). Three-dimensional organotypic co-culture model of intestinal epithelial cells and macrophages to study Salmonella enterica colonization patterns. npj Microgravity. 3(1). 10–10. 36 indexed citations

Crabbé, Aurélie, Yulong Liu, Nele Matthijs, et al.. (2017). Antimicrobial efficacy against Pseudomonas aeruginosa biofilm formation in a three-dimensional lung epithelial model and the influence of fetal bovine serum. Scientific Reports. 7(1). 43321–43321. 68 indexed citations

Plüddemann, Annette, Igho Onakpoya, Scott H. Harrison, et al.. (2015). Position Paper on Anti-Microbial Resistance Diagnostics. 6 indexed citations

Wotring, Virginia E., Jennifer Barrila, Aurélie Crabbé, et al.. (2014). Efficacy of Antimicrobials on Bacteria Cultured in a Spaceflight Analogue. 1 indexed citations

Quick, Laura, Anjali Soni, Richard R. Davis, et al.. (2011). Characterization of the Salmonella enterica Serovar TyphimuriumydcIGene, Which Encodes a Conserved DNA Binding Protein Required for Full Acid Stress Resistance. Journal of Bacteriology. 193(9). 2208–2217. 21 indexed citations

Davis, Richard R., et al.. (1980). Satellite Position Management. UA Campus Repository (The University of Arizona). 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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