Mudit Chandra

65 papers receiving 588 citations

Peers

Mudit Chandra
Comparison fields: 5 of 86
  • Molecular Medicine 98
  • Endocrinology 82
  • Applied Microbiology and Biotechnology 30
  • Food Science 218
  • Animal Science and Zoology 86
Replace Ashgan M. Hessain with:
Ashgan M. Hessain Egypt
Oliver T. Zishiri South Africa
Mahmoud Elhariri Egypt
Shafi Sahibzada Australia
Sandeep Ghatak India
Getachew Gugsa Ethiopia
Leigh B Rosengren Canada
Eglė Kudirkienė Denmark
Margaret McFall Canada
Dalia Hamza Egypt
Mudit Chandra relative to Ashgan M. Hessain Egypt Ashgan M. Hessain's profile →
Citations per field
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Ashgan M. Hessain · 1×
Citations per year

Countries citing papers authored by Mudit Chandra

Since Specialization
Citations

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

Fields of papers citing papers by Mudit Chandra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mudit Chandra, 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 Mudit Chandra Line = papers co-authored together Mudit Chandra links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018209
2 201336
3 201730
4 200724
5 201618
6 199717
7 201617
8 200615
9 200915
10 200614
11 201013
12 200513
13 201112
14
Diagnostic efficacy of uterine cytobrush technique for subclinical endometritis in crossbred dairy cattle.
201610
15 200510
16 20149
17 20238
18
Haemolysins of Salmonella, their role in pathogenesis and subtyping of Salmonella serovars.
20048
19 20217
20 20166

About Mudit Chandra

Mudit Chandra is a scholar working on Infectious Diseases, Food Science, Ecology, Animal Science and Zoology and Epidemiology, having authored 73 papers that have together received 609 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (15 papers), Bacteriophages and microbial interactions (14 papers), Mycobacterium research and diagnosis (11 papers), Viral gastroenteritis research and epidemiology (10 papers), Tuberculosis Research and Epidemiology (9 papers), Animal Virus Infections Studies (8 papers), Virus-based gene therapy research (8 papers) and Milk Quality and Mastitis in Dairy Cows (6 papers). The work is most often cited by research in Molecular Medicine (98 citations), Endocrinology (82 citations), Applied Microbiology and Biotechnology (30 citations), Food Science (218 citations) and Animal Science and Zoology (86 citations). Mudit Chandra has collaborated with scholars based in India, Iran and Israel. Frequent co-authors include Jatinder Paul Singh Gill, Namita Rokana, Pallab Ray, Chetan Sharma, Anil Kumar Puniya, Harsh Panwar, Brij Pal Singh, Bhoj Raj Singh, Ravi Kant Agarwal and Steffen Porwollik. Their work appears in journals such as Journal of Food Protection, Journal of Equine Veterinary Science, Epidemiology and Infection, Foodborne Pathogens and Disease and Journal of Food Processing and Preservation.

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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