Dipak Kathayat

950 citations
30 papers · 676 indexed · 1 hit paper · h-index 14

Dipak Kathayat

29 papers receiving 671 citations

Hit Papers

Avian Pathogenic Escherichia coli (APEC): An Overview of ...241202120262022202450100150200

Peers

Dipak Kathayat
Comparison fields: 5 of 76
  • Molecular Medicine 169
  • Endocrinology 151
  • Food Science 274
  • Microbiology 94
  • Animal Science and Zoology 107
Replace Kezong Qi with:
Kezong Qi China
Xianhua Yin Canada
Amal Awad Egypt
Junni Tang China
Camilla Sekse Norway
Sébastien Fraud Canada
Qingqing Gao China
Löıc Deblais United States
Rafael Antonio Casarin Penha Filho Brazil
Belchiolina Beatriz Fonseca Brazil
Dipak Kathayat relative to Kezong Qi China Kezong Qi's profile →
Citations per field
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Kezong Qi · 1×
Citations per year

Countries citing papers authored by Dipak Kathayat

Since Specialization
Citations

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

Fields of papers citing papers by Dipak Kathayat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Dipak Kathayat, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dipak Kathayat Line = papers co-authored together Dipak Kathayat links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20254
2 20250
3 20242
4 20233
5 202210
6 20212
7 202112
8
Avian Pathogenic Escherichia coli (APEC): An Overview of Virulence and Pathogenesis Factors, Zoonotic Potential, and Control Strategiesbreakdown →
2021241
9 202124
10 202017
11 202019
12 20205
13 202022
14 201917
15 201912
16 201824
17 201833
18 201831
19 201853
20 201713

About Dipak Kathayat

Dipak Kathayat is a scholar working on Microbiology, Molecular Medicine and Animal Science and Zoology, having authored 30 papers that have together received 676 indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (8 papers), Clostridium difficile and Clostridium perfringens research (6 papers), Probiotics and Fermented Foods (5 papers), Animal Nutrition and Physiology (5 papers), Viral gastroenteritis research and epidemiology (4 papers), Salmonella and Campylobacter epidemiology (4 papers), Antibiotic Resistance in Bacteria (4 papers) and Bacteriophages and microbial interactions (3 papers). The work is most often cited by research in Molecular Medicine (169 citations), Endocrinology (151 citations) and Food Science (274 citations). Dipak Kathayat has collaborated with scholars based in United States, Egypt and Australia. Frequent co-authors include Gireesh Rajashekara, Dhanashree Lokesh, Yosra A. Helmy, Löıc Deblais, Abdel‐Gawad S. Shalkami, Asmaa M. M. Mawad, Anastasia N. Vlasova, Issmat I. Kassem, Sally A. Miller and Kwonil Jung. Their work appears in journals such as Microbiology Spectrum, Scientific Reports, Infection and Immunity, Applied and Environmental Microbiology and The Journal of Antibiotics.

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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