Xiaorong Shi

1.8k total citations
78 papers, 1.4k citations indexed

About

Xiaorong Shi is a scholar working on Endocrinology, Food Science and Infectious Diseases. According to data from OpenAlex, Xiaorong Shi has authored 78 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Endocrinology, 44 papers in Food Science and 40 papers in Infectious Diseases. Recurrent topics in Xiaorong Shi's work include Escherichia coli research studies (47 papers), Salmonella and Campylobacter epidemiology (40 papers) and Viral gastroenteritis research and epidemiology (32 papers). Xiaorong Shi is often cited by papers focused on Escherichia coli research studies (47 papers), Salmonella and Campylobacter epidemiology (40 papers) and Viral gastroenteritis research and epidemiology (32 papers). Xiaorong Shi collaborates with scholars based in United States, China and Canada. Xiaorong Shi's co-authors include T. G. Nagaraja, Jianfa Bai, David G. Renter, Natalia Cernicchiaro, Z. D. Paddock, Lance W. Noll, Pragathi B. Shridhar, J. T. Fox, T. G. Nagaraja and Baoyan An and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Xiaorong Shi

71 papers receiving 1.4k citations

Peers

Xiaorong Shi
Éric Nadeau Canada
Marianne Chemaly France
Lori K. Bagi United States
Catherine D. Carrillo Canada
Jyh-Shiun Lin Taiwan
Magaly Toro United States
Camilla Sekse Norway
M.T. Musgrove United States
Masahiro Asakura Japan
Joël Grout France
Éric Nadeau Canada
Xiaorong Shi
Citations per year, relative to Xiaorong Shi Xiaorong Shi (= 1×) peers Éric Nadeau

Countries citing papers authored by Xiaorong Shi

Since Specialization
Citations

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

Fields of papers citing papers by Xiaorong Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaorong Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaorong Shi. A scholar is included among the top collaborators of Xiaorong Shi 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 Xiaorong Shi. Xiaorong Shi 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.
Shi, Xiaorong, Lei Dai, Jianjian Zhang, et al.. (2025). Bifunctional electrolyte inducing uniform Zn deposition and suppressing polyiodide shuttle for long life zinc-iodine batteries with low-temperature applicability. Chemical Engineering Journal. 524. 169846–169846.
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El-Khoueiry, Anthony B., Elena Garralda, Andrés Cervantes, et al.. (2024). A phase I monotherapy dose escalation study of HFB301001, a novel next generation OX40 agonist monoclonal antibody, in adult patients with advanced solid tumors.. Journal of Clinical Oncology. 42(16_suppl). 2531–2531. 1 indexed citations
5.
Hales, Kristin E, Xiaorong Shi, T. G. Nagaraja, et al.. (2024). Development of an experimental model for liver abscess induction in Holstein steers using an acidotic diet challenge and bacterial inoculation. Journal of Animal Science. 102. 6 indexed citations
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Shi, Xiaorong, et al.. (2024). pFedKT: Personalized federated learning with dual knowledge transfer. Knowledge-Based Systems. 292. 111633–111633. 8 indexed citations
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Amachawadi, Raghavendra G., Mike D Tokach, Xiaorong Shi, et al.. (2023). Impact of In-Feed versus In-Water Chlortetracycline and Tiamulin Administrations on Fecal Prevalence and Antimicrobial Susceptibilities of Campylobacter in a Population of Nursery Pigs. Microorganisms. 11(12). 2876–2876. 1 indexed citations
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Dixon, A. L., Natalia Cernicchiaro, Raghavendra G. Amachawadi, et al.. (2020). Longitudinal Characterization of Prevalence and Concentration of Shiga Toxin–Producing Escherichia coli Serogroups in Feces of Individual Feedlot Cattle. Foodborne Pathogens and Disease. 17(10). 631–639. 8 indexed citations
10.
Shridhar, Pragathi B., Jay Worley, Xun Yang, et al.. (2019). Analysis of virulence potential of Escherichia coli O145 isolated from cattle feces and hide samples based on whole genome sequencing. PLoS ONE. 14(11). e0225057–e0225057. 7 indexed citations
11.
Shridhar, Pragathi B., Isha R. Patel, Jayanthi Gangiredla, et al.. (2018). DNA microarray-based assessment of virulence potential of Shiga toxin gene-carrying Escherichia coli O104:H7 isolated from feedlot cattle feces. PLoS ONE. 13(4). e0196490–e0196490. 9 indexed citations
12.
Noll, Lance W., Jay Worley, Xun Yang, et al.. (2018). Comparative genomics reveals differences in mobile virulence genes of Escherichia coli O103 pathotypes of bovine fecal origin. PLoS ONE. 13(2). e0191362–e0191362. 11 indexed citations
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Yang, Xun, Lance W. Noll, Xiaorong Shi, et al.. (2018). Whole genome shotgun sequencing revealed highly polymorphic genome regions and genes in Escherichia coli O157:H7 isolates collected from a single feedlot. PLoS ONE. 13(8). e0202775–e0202775. 1 indexed citations
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Noll, Lance W., Pragathi B. Shridhar, Xiaorong Shi, et al.. (2015). A Four-Plex Real-Time PCR Assay, Based on rfb E, stx 1, stx 2, and eae Genes, for the Detection and Quantification of Shiga Toxin–Producing Escherichia coli O157 in Cattle Feces. Foodborne Pathogens and Disease. 12(9). 787–794. 28 indexed citations
15.
Renter, David G., Pragathi B. Shridhar, Lance W. Noll, et al.. (2015). Summer and Winter Prevalence of Shiga Toxin–Producing Escherichia coli (STEC) O26, O45, O103, O111, O121, O145, and O157 in Feces of Feedlot Cattle. Foodborne Pathogens and Disease. 12(8). 726–732. 65 indexed citations
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Jacob, Megan E., Xiaorong Shi, Baoyan An, T. G. Nagaraja, & Jianfa Bai. (2011). Evaluation of a Multiplex Real-Time Polymerase Chain Reaction for the Quantification of Escherichia coli O157 in Cattle Feces. Foodborne Pathogens and Disease. 9(1). 79–85. 21 indexed citations
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Shi, Xiaorong, et al.. (2009). Prevalence of Escherichia coli O157:H7 in Gut Contents of Beef Cattle at Slaughter. Foodborne Pathogens and Disease. 7(3). 249–255. 22 indexed citations
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Fox, J. T., Xiaorong Shi, & T. G. Nagaraja. (2008). Escherichia coli O157 in the Rectoanal Mucosal Region of Cattle. Foodborne Pathogens and Disease. 5(1). 69–77. 21 indexed citations
19.
Fox, J. T., James S. Drouillard, Xiaorong Shi, & T. G. Nagaraja. (2008). Effects of mucin and its carbohydrate constituents on Escherichia coli O157 growth in batch culture fermentations with ruminal or fecal microbial inoculum1. Journal of Animal Science. 87(4). 1304–1313. 18 indexed citations
20.
Sargeant, Jan M., et al.. (2006). Pulsed-Field Gel Electrophoresis Patterns of Escherichia coli O157 Isolates from Kansas Feedlots. Foodborne Pathogens and Disease. 3(3). 251–258. 12 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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