Mohit Bansal

466 total citations
26 papers, 329 citations indexed

About

Mohit Bansal is a scholar working on Animal Science and Zoology, Infectious Diseases and Food Science. According to data from OpenAlex, Mohit Bansal has authored 26 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Animal Science and Zoology, 9 papers in Infectious Diseases and 9 papers in Food Science. Recurrent topics in Mohit Bansal's work include Clostridium difficile and Clostridium perfringens research (7 papers), Salmonella and Campylobacter epidemiology (5 papers) and Animal Nutrition and Physiology (5 papers). Mohit Bansal is often cited by papers focused on Clostridium difficile and Clostridium perfringens research (7 papers), Salmonella and Campylobacter epidemiology (5 papers) and Animal Nutrition and Physiology (5 papers). Mohit Bansal collaborates with scholars based in United States, India and Canada. Mohit Bansal's co-authors include Ramakrishna Nannapaneni, Xiaolun Sun, A.S. Kiess, Chander Shekhar Sharma, Billy M. Hargis, Anamika Gupta, Nitin Dhowlaghar, Ying Fu, Hong Wang and Rohana Liyanage and has published in prestigious journals such as PLoS ONE, Cancer Research and Scientific Reports.

In The Last Decade

Mohit Bansal

25 papers receiving 321 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohit Bansal United States 12 121 104 95 81 59 26 329
C. K. Murphy United Kingdom 7 55 0.5× 216 2.1× 76 0.8× 78 1.0× 25 0.4× 8 275
Peter Schwerk Germany 8 119 1.0× 201 1.9× 94 1.0× 79 1.0× 23 0.4× 11 357
J. Jore Netherlands 10 347 2.9× 190 1.8× 134 1.4× 52 0.6× 174 2.9× 14 668
Yushi Gao China 10 145 1.2× 125 1.2× 79 0.8× 78 1.0× 76 1.3× 42 410
Pavel Sauer Czechia 12 223 1.8× 51 0.5× 217 2.3× 20 0.2× 34 0.6× 30 532
G I Tellez United States 8 38 0.3× 136 1.3× 69 0.7× 221 2.7× 11 0.2× 8 342
Elisabeth G. Biesta-Peters Netherlands 10 195 1.6× 190 1.8× 73 0.8× 35 0.4× 135 2.3× 12 403
A. Woo-Ming United States 10 47 0.4× 174 1.7× 69 0.7× 127 1.6× 70 1.2× 14 334
Pravin R. Kaldhone United States 10 68 0.6× 248 2.4× 95 1.0× 26 0.3× 83 1.4× 19 376

Countries citing papers authored by Mohit Bansal

Since Specialization
Citations

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

Fields of papers citing papers by Mohit Bansal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohit Bansal

This figure shows the co-authorship network connecting the top 25 collaborators of Mohit Bansal. A scholar is included among the top collaborators of Mohit Bansal 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 Mohit Bansal. Mohit Bansal 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.
Bansal, Mohit, et al.. (2025). DKC1-mediated pseudouridylation of rRNA targets hnRNP A1 to sustain IRES-dependent translation and ATF4-driven metabolic adaptation. Science Advances. 11(35). eadv9401–eadv9401. 2 indexed citations
2.
Bansal, Mohit, et al.. (2024). MYC Drives mRNA Pseudouridylation to Mitigate Proliferation-Induced Cellular Stress during Cancer Development. Cancer Research. 84(23). 4031–4048. 11 indexed citations
3.
Gupta, Anamika, Mohit Bansal, Rohana Liyanage, et al.. (2021). Sodium butyrate modulates chicken macrophage proteins essential for Salmonella Enteritidis invasion. PLoS ONE. 16(4). e0250296–e0250296. 9 indexed citations
4.
5.
Bansal, Mohit, Ying Fu, Hong Wang, et al.. (2021). Specific Secondary Bile Acids Control Chicken Necrotic Enteritis. Pathogens. 10(8). 1041–1041. 26 indexed citations
6.
Bansal, Mohit, Ying Fu, Anamika Gupta, et al.. (2020). A secondary bile acid from microbiota metabolism attenuates ileitis and bile acid reduction in subclinical necrotic enteritis in chickens. Journal of Animal Science and Biotechnology. 11(1). 37–37. 28 indexed citations
7.
Gupta, Anamika, Mohit Bansal, Basanta R. Wagle, et al.. (2020). Sodium Butyrate Reduces Salmonella Enteritidis Infection of Chicken Enterocytes and Expression of Inflammatory Host Genes in vitro. Frontiers in Microbiology. 11. 553670–553670. 22 indexed citations
8.
Bansal, Mohit, Nitin Dhowlaghar, Ramakrishna Nannapaneni, et al.. (2020). Decreased biofilm formation by planktonic cells of Listeria monocytogenes in the presence of sodium hypochlorite. Food Microbiology. 96. 103714–103714. 20 indexed citations
9.
Fu, Ying, et al.. (2020). Microbiota attenuates chicken transmission-exacerbated campylobacteriosis in Il10−/− mice. Scientific Reports. 10(1). 20841–20841. 5 indexed citations
10.
Wang, Hong, Juan D. Latorre, Mohit Bansal, et al.. (2019). Microbial metabolite deoxycholic acid controls Clostridium perfringens-induced chicken necrotic enteritis through attenuating inflammatory cyclooxygenase signaling. Scientific Reports. 9(1). 14541–14541. 32 indexed citations
11.
12.
Bansal, Mohit, Hong Wang, Young Min Kwon, et al.. (2019). Microbial metabolite deoxycholic acid shapes microbiota against Campylobacter jejuni chicken colonization. PLoS ONE. 14(7). e0214705–e0214705. 25 indexed citations
13.
Dhowlaghar, Nitin, Mohit Bansal, M. Wes Schilling, & Ramakrishna Nannapaneni. (2018). Scanning electron microscopy of Salmonella biofilms on various food-contact surfaces in catfish mucus. Food Microbiology. 74. 143–150. 22 indexed citations
14.
Bansal, Mohit, Ramakrishna Nannapaneni, Chander Shekhar Sharma, & A.S. Kiess. (2018). Listeria monocytogenes Response to Sublethal Chlorine Induced Oxidative Stress on Homologous and Heterologous Stress Adaptation. Frontiers in Microbiology. 9. 2050–2050. 35 indexed citations
15.
Cliff, Margaret A., et al.. (2011). COMPARISON OF NEW AND EXISTING THRESHOLD METHODS FOR EVALUATING SULFUR COMPOUNDS IN DIFFERENT BASE WINES. Journal of Sensory Studies. 26(3). 184–196. 11 indexed citations
16.
Negi, B. S., et al.. (1997). Use of purified soluble antigens of sheep pox-virus in serodiagnosis*. The Indian Journal of Animal Sciences. 67(8). 642–645. 4 indexed citations
17.
Ram, G. C., et al.. (1997). Observations on cellular response in experimentally sheep-pox-infected lambs. The Indian Journal of Animal Sciences. 67(4). 263–266. 2 indexed citations
18.
Singh, Vidya, et al.. (1987). Sero-epidemiological studies of bovine leukaemia virus infection in Indian cross-bred zebu cattle. Revue Scientifique et Technique de l OIE. 6(1). 225–231. 2 indexed citations
19.
Bansal, Mohit, Kameshwar P. Singh, & C. M. Singh. (1980). Comparative sensitivity of p25 and glycoprotein antigens of bovine leukemia virus to detect antibodies in calves and lambs.. 4(3). 89–93. 3 indexed citations
20.
Bansal, Mohit & Kameshwar P. Singh. (1980). Detection of antibodies of bovine syncytial virus among cattle and buffaloes in India.. Indian Journal of Microbiology. 20(3). 198–200. 4 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by C. K. Murphy Breakdown of academic impact, for papers by Peter Schwerk Breakdown of academic impact, for papers by J. Jore Breakdown of academic impact, for papers by Yushi Gao Breakdown of academic impact, for papers by Pavel Sauer Breakdown of academic impact, for papers by G I Tellez Breakdown of academic impact, for papers by Elisabeth G. Biesta-Peters Breakdown of academic impact, for papers by A. Woo-Ming Breakdown of academic impact, for papers by Pravin R. Kaldhone
Rankless by CCL
2026