David Oryang

625 total citations
22 papers, 447 citations indexed

About

David Oryang is a scholar working on Biotechnology, Food Science and Pollution. According to data from OpenAlex, David Oryang has authored 22 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Biotechnology, 8 papers in Food Science and 4 papers in Pollution. Recurrent topics in David Oryang's work include Listeria monocytogenes in Food Safety (11 papers), Food Safety and Hygiene (5 papers) and Salmonella and Campylobacter epidemiology (4 papers). David Oryang is often cited by papers focused on Listeria monocytogenes in Food Safety (11 papers), Food Safety and Hygiene (5 papers) and Salmonella and Campylobacter epidemiology (4 papers). David Oryang collaborates with scholars based in United States and Thailand. David Oryang's co-authors include Lisa Gorski, Michael B. Cooley, Robert E. Mandrell, Yuhuan Chen, Daniel L. Weller, David T. Ingram, J. Chase, Ronald F. Bond, Edward R. Atwill and Tsegaye Habtemariam and has published in prestigious journals such as Applied and Environmental Microbiology, Journal of Agricultural and Food Chemistry and Frontiers in Microbiology.

In The Last Decade

David Oryang

22 papers receiving 441 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Oryang United States 13 213 193 75 75 64 22 447
Chester Z. Sarreal United States 10 142 0.7× 130 0.7× 45 0.6× 92 1.2× 64 1.0× 17 403
Abhirosh Chandran India 11 155 0.7× 231 1.2× 99 1.3× 29 0.4× 105 1.6× 19 535
Anita S. Liang United States 9 278 1.3× 321 1.7× 57 0.8× 130 1.7× 33 0.5× 9 499
Eric T. Handy United States 10 117 0.5× 114 0.6× 42 0.6× 27 0.4× 59 0.9× 13 296
Elizabeth A. Bihn United States 10 300 1.4× 312 1.6× 67 0.9× 151 2.0× 40 0.6× 16 604
G S Bezanson Canada 15 211 1.0× 247 1.3× 97 1.3× 65 0.9× 117 1.8× 28 649
Juan Anciso United States 11 450 2.1× 450 2.3× 47 0.6× 259 3.5× 41 0.6× 23 831
Zbigniew Paluszak Poland 12 159 0.7× 180 0.9× 26 0.3× 44 0.6× 61 1.0× 78 508
Subbarao V. Ravva United States 12 58 0.3× 74 0.4× 50 0.7× 44 0.6× 58 0.9× 20 337
H.N. Chinivasagam Australia 11 79 0.4× 170 0.9× 31 0.4× 29 0.4× 56 0.9× 20 409

Countries citing papers authored by David Oryang

Since Specialization
Citations

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

Fields of papers citing papers by David Oryang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Oryang

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

All Works

20 of 20 papers shown
1.
Weller, Daniel L., David T. Ingram, Yuhuan Chen, et al.. (2024). Survival of Twelve Pathogenic and Generic Escherichia coli Strains in Agricultural Soils as Influenced by Strain, Soil Type, Irrigation Regimen, and Soil Amendment. Journal of Food Protection. 87(10). 100343–100343. 5 indexed citations
2.
Gorski, Lisa, Michael B. Cooley, David Oryang, et al.. (2022). Prevalence and Clonal Diversity of over 1,200 Listeria monocytogenes Isolates Collected from Public Access Waters near Produce Production Areas on the Central California Coast during 2011 to 2016. Applied and Environmental Microbiology. 88(8). e0035722–e0035722. 32 indexed citations
3.
Weller, Daniel L., David T. Ingram, Yuhuan Chen, et al.. (2021). Strain, Soil-Type, Irrigation Regimen, and Poultry Litter Influence Salmonella Survival and Die-off in Agricultural Soils. Frontiers in Microbiology. 12. 590303–590303. 20 indexed citations
4.
Gu, Ganyu, Laura K. Strawn, David Oryang, et al.. (2018). Agricultural Practices Influence Salmonella Contamination and Survival in Pre-harvest Tomato Production. Frontiers in Microbiology. 9. 2451–2451. 39 indexed citations
5.
Oryang, David, et al.. (2018). A Mathematical Model for Pathogen Cross‐Contamination Dynamics during the Postharvest Processing of Leafy Greens. Risk Analysis. 38(8). 1718–1737. 17 indexed citations
6.
Chase, J., Edward R. Atwill, Melissa L. Partyka, Ronald F. Bond, & David Oryang. (2017). Inactivation of Escherichia coli O157:H7 on Romaine Lettuce When Inoculated in a Fecal Slurry Matrix. Journal of Food Protection. 80(5). 792–798. 14 indexed citations
7.
Weller, Daniel L., Jasna Kovač, David Kent, et al.. (2017). Escherichia coli transfer from simulated wildlife feces to lettuce during foliar irrigation: A field study in the Northeastern United States. Food Microbiology. 68. 24–33. 21 indexed citations
8.
Weller, Daniel L., Jasna Kovač, Sherry Roof, et al.. (2017). Survival of Escherichia coli on Lettuce under Field Conditions Encountered in the Northeastern United States. Journal of Food Protection. 80(7). 1214–1221. 35 indexed citations
9.
Atwill, Edward R., J. Chase, David Oryang, et al.. (2015). Transfer of Escherichia coliO157:H7 from Simulated Wildlife Scat onto Romaine Lettuce during Foliar Irrigation. Journal of Food Protection. 78(2). 240–247. 47 indexed citations
10.
Hakk, Heldur, Nancy W. Shappell, Sara J. Lupton, et al.. (2015). Distribution of Animal Drugs between Skim Milk and Milk Fat Fractions in Spiked Whole Milk: Understanding the Potential Impact on Commercial Milk Products. Journal of Agricultural and Food Chemistry. 64(1). 326–335. 25 indexed citations
11.
14.
Habtemariam, Tsegaye, et al.. (2002). Epidemiologic modelling of HIV and CD4 cellular/molecular population dynamics. Kybernetes. 31(9/10). 1369–1379. 3 indexed citations
15.
Habtemariam, Tsegaye, et al.. (2001). Modelling viral and CD4 cellular population dynamics in HIV: approaches to evaluate intervention strategies.. PubMed. 47(7). 1201–8. 10 indexed citations
16.
Yu, Peter T., et al.. (1997). A risk-assessment model for foot and mouth disease (FMD) virus introduction through deboned beef importation. Preventive Veterinary Medicine. 30(1). 49–59. 19 indexed citations
17.
Habtemariam, Tsegaye, et al.. (1996). Epidemiologic modelling using systems dynamics methods as applied to the AIDS epidemic in the USA. Systems Analysis Modelling Simulation. 23(4). 265–274. 1 indexed citations
18.
Yu, Peter T., et al.. (1996). Stochastic Model of Spatial Spread and Control of Tsetse Flies (Diptera: Muscidae). Environmental Entomology. 25(1). 78–84. 4 indexed citations
19.
Yu, Peter T., et al.. (1995). Integration of temporal and spatial models for examining the epidemiology of African trypansomiasis. Preventive Veterinary Medicine. 24(2). 83–95. 7 indexed citations
20.
Habtemariam, Tsegaye, et al.. (1990). Research in computational epidemiology. Mathematical and Computer Modelling. 14. 653–658. 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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