Indira T. Kudva

2.8k total citations
51 papers, 2.2k citations indexed

About

Indira T. Kudva is a scholar working on Endocrinology, Infectious Diseases and Food Science. According to data from OpenAlex, Indira T. Kudva has authored 51 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Endocrinology, 40 papers in Infectious Diseases and 19 papers in Food Science. Recurrent topics in Indira T. Kudva's work include Escherichia coli research studies (46 papers), Viral gastroenteritis research and epidemiology (36 papers) and Salmonella and Campylobacter epidemiology (17 papers). Indira T. Kudva is often cited by papers focused on Escherichia coli research studies (46 papers), Viral gastroenteritis research and epidemiology (36 papers) and Salmonella and Campylobacter epidemiology (17 papers). Indira T. Kudva collaborates with scholars based in United States, Poland and Mexico. Indira T. Kudva's co-authors include Carolyn J. Hovde, P. G. Hatfield, Raies A. Mir, Phillip I. Tarr, Srdjan Jelačić, Haiqing Sheng, Stephen B. Calderwood, Philip Youderian, Christopher J. Williams and Carl W. Hunt and has published in prestigious journals such as PLoS ONE, Applied and Environmental Microbiology and Scientific Reports.

In The Last Decade

Indira T. Kudva

49 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Indira T. Kudva United States 19 1.4k 1.1k 909 475 440 51 2.2k
Robin King Canada 19 993 0.7× 776 0.7× 940 1.0× 511 1.1× 194 0.4× 51 1.8k
Kim Ziebell Canada 25 1.6k 1.1× 1.0k 0.9× 926 1.0× 275 0.6× 366 0.8× 56 2.3k
Kris Rahn Canada 22 1.8k 1.3× 1.3k 1.1× 1.8k 2.0× 698 1.5× 319 0.7× 42 2.9k
Chad Laing Canada 18 731 0.5× 462 0.4× 842 0.9× 287 0.6× 415 0.9× 41 1.6k
Rasik Khakhria Canada 21 926 0.7× 730 0.6× 1.2k 1.3× 381 0.8× 412 0.9× 38 1.9k
Michael C. Pearce United Kingdom 21 1.0k 0.7× 818 0.7× 775 0.9× 334 0.7× 161 0.4× 46 2.3k
Collette Fitzgerald United States 26 411 0.3× 1.1k 0.9× 1.7k 1.9× 398 0.8× 456 1.0× 34 2.4k
Eduardo N. Taboada Canada 31 904 0.7× 1.2k 1.0× 2.2k 2.4× 429 0.9× 750 1.7× 87 3.2k
C. Vernozy‐Rozand France 29 785 0.6× 838 0.7× 1.2k 1.4× 842 1.8× 126 0.3× 48 2.0k
Michael B. Cooley United States 24 704 0.5× 496 0.4× 968 1.1× 846 1.8× 298 0.7× 51 2.6k

Countries citing papers authored by Indira T. Kudva

Since Specialization
Citations

This map shows the geographic impact of Indira T. Kudva'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 Indira T. Kudva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Indira T. Kudva more than expected).

Fields of papers citing papers by Indira T. Kudva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Indira T. Kudva. 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 Indira T. Kudva. The network helps show where Indira T. Kudva may publish in the future.

Co-authorship network of co-authors of Indira T. Kudva

This figure shows the co-authorship network connecting the top 25 collaborators of Indira T. Kudva. A scholar is included among the top collaborators of Indira T. Kudva 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 Indira T. Kudva. Indira T. Kudva 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
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Trachsel, Julian, et al.. (2024). Phenotypic and genomic comparison of three human outbreak and one cattle-associated Shiga toxin-producing Escherichia coli O157:H7. Microbiology Spectrum. 12(10). e0414023–e0414023.
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Harper, Matthew M., Danielle S. Rudd, Kacie J. Meyer, et al.. (2020). Identification of chronic brain protein changes and protein targets of serum auto-antibodies after blast-mediated traumatic brain injury. Heliyon. 6(2). e03374–e03374. 26 indexed citations
6.
Mir, Raies A., Robert G. Schaut, Torey Looft, et al.. (2020). Recto-Anal Junction (RAJ) and Fecal Microbiomes of Cattle Experimentally Challenged With Escherichia coli O157:H7. Frontiers in Microbiology. 11. 693–693. 11 indexed citations
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Mir, Raies A., Michael D. Kleinhenz, Johann F. Coetzee, Heather K. Allen, & Indira T. Kudva. (2019). Fecal microbiota changes associated with dehorning and castration stress primarily affects light-weight dairy calves. PLoS ONE. 14(1). e0210203–e0210203. 17 indexed citations
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Mir, Raies A., Robert G. Schaut, Heather K. Allen, et al.. (2019). Cattle intestinal microbiota shifts following Escherichia coli O157:H7 vaccination and colonization. PLoS ONE. 14(12). e0226099–e0226099. 19 indexed citations
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Sharma, Vijay K., et al.. (2016). Contributions of EspA Filaments and Curli Fimbriae in Cellular Adherence and Biofilm Formation of Enterohemorrhagic Escherichia coli O157:H7. PLoS ONE. 11(2). e0149745–e0149745. 16 indexed citations
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Kudva, Indira T., Thaddeus B. Stanton, & John D. Lippolis. (2014). The Escherichia coli O157:H7 bovine rumen fluid proteome reflects adaptive bacterial responses. BMC Microbiology. 14(1). 48–48. 6 indexed citations
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Kudva, Indira T., Carolyn J. Hovde, & Manohar John. (2013). Adherence of Non-O157 Shiga Toxin–Producing Escherichia coli to Bovine Recto-anal Junction Squamous Epithelial Cells Appears to Be Mediated by Mechanisms Distinct from Those Used by O157. Foodborne Pathogens and Disease. 10(4). 375–381. 12 indexed citations
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Kudva, Indira T., Sandra Smole, Robert W. Griffin, et al.. (2013). Polymorphic Amplified Typing Sequences (PATS) Strain Typing System Accurately Discriminates a Set of Temporally and Spatially Disparate Escherichia coli O157 Isolates Associated with Human Infection. The Open Microbiology Journal. 7(1). 123–129. 3 indexed citations
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Kudva, Indira T., et al.. (2013). Bison and bovine rectoanal junctions exhibit similar cellular architecture and Escherichia coli O157 adherence patterns. BMC Veterinary Research. 9(1). 266–266. 3 indexed citations
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Kudva, Indira T., Robert W. Griffin, Bryan Krastins, et al.. (2012). Proteins other than the locus of enterocyte effacement-encoded proteins contribute to Escherichia coli O157:H7 adherence to bovine rectoanal junction stratified squamous epithelial cells. BMC Microbiology. 12(1). 103–103. 26 indexed citations
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Kudva, Indira T. & Evelyn A. Dean-Nystrom. (2011). Bovine recto-anal junction squamous epithelial (RSE) cell adhesion assay for studying Escherichia coli O157 adherence. Journal of Applied Microbiology. 111(5). 1283–1294. 27 indexed citations
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Sheng, Haiqing, et al.. (2006). Application of Bacteriophages To Control Intestinal Escherichia coli O157:H7 Levels in Ruminants. Applied and Environmental Microbiology. 72(8). 5359–5366. 134 indexed citations
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Kudva, Indira T., et al.. (2005). Identification of a Protein Subset of the Anthrax Spore Immunome in Humans Immunized with the Anthrax Vaccine Adsorbed Preparation. Infection and Immunity. 73(9). 5685–5696. 29 indexed citations
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Kudva, Indira T., et al.. (1998). Effect of Dietary Protein, Fiber, and Digesta Passage Rate on the Duration and Concentration of Escherichia coli 0157:H7 Shed by Cattle. American Association of Bovine Practitioners Conference Proceedings. 251–257. 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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