Anshu Sharma

482 total citations
25 papers, 346 citations indexed

About

Anshu Sharma is a scholar working on Agronomy and Crop Science, Molecular Biology and Genetics. According to data from OpenAlex, Anshu Sharma has authored 25 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Agronomy and Crop Science, 5 papers in Molecular Biology and 4 papers in Genetics. Recurrent topics in Anshu Sharma's work include Milk Quality and Mastitis in Dairy Cows (5 papers), Microbial infections and disease research (4 papers) and Animal health and immunology (3 papers). Anshu Sharma is often cited by papers focused on Milk Quality and Mastitis in Dairy Cows (5 papers), Microbial infections and disease research (4 papers) and Animal health and immunology (3 papers). Anshu Sharma collaborates with scholars based in India, Canada and United States. Anshu Sharma's co-authors include Laszlo Radvanyi, Yufang Shi, Gordon B. Mills, R. G. Miller, Homayoun Vaziri, P. Nicholas Shaw, Douglas R. Green, Rajni Rani, Mahavir Singh and Jennifer L. Gommerman and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Anshu Sharma

21 papers receiving 332 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anshu Sharma India 9 196 96 60 34 26 25 346
Emmi Ylikoski Finland 7 163 0.8× 178 1.9× 61 1.0× 31 0.9× 51 2.0× 9 391
Ursula Reichart Austria 10 340 1.7× 142 1.5× 161 2.7× 45 1.3× 11 0.4× 26 589
E. Premkumar Reddy United States 4 145 0.7× 146 1.5× 64 1.1× 36 1.1× 17 0.7× 4 318
Yunliang Yao China 10 141 0.7× 117 1.2× 57 0.9× 15 0.4× 21 0.8× 19 345
Jaione Bezunartea Spain 12 196 1.0× 170 1.8× 141 2.4× 79 2.3× 24 0.9× 26 488
Marie Lork Belgium 5 235 1.2× 271 2.8× 61 1.0× 18 0.5× 14 0.5× 9 466
Michèle Lieb France 8 151 0.8× 232 2.4× 55 0.9× 33 1.0× 9 0.3× 14 437
Catherine Lachance Canada 14 71 0.4× 233 2.4× 34 0.6× 62 1.8× 9 0.3× 22 490
Yekaterina O. Ostapchuk Kazakhstan 11 155 0.8× 52 0.5× 78 1.3× 25 0.7× 7 0.3× 35 327
Inês F. Amado France 6 196 1.0× 134 1.4× 42 0.7× 19 0.6× 13 0.5× 9 341

Countries citing papers authored by Anshu Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Anshu Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anshu Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Anshu Sharma. A scholar is included among the top collaborators of Anshu Sharma 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 Anshu Sharma. Anshu Sharma 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.
Hofbauer, Josefina Piñón, Christina Guttmann‐Gruber, Verena Wally, et al.. (2024). Challenges and progress related to gene editing in rare skin diseases. Advanced Drug Delivery Reviews. 208. 115294–115294. 3 indexed citations
2.
Sharma, Anshu, Yun‐Tsan Chang, Sabine Altrichter, et al.. (2023). Th17-associated cytokines IL-17 and IL-23 in inflamed skin of Darier disease patients as potential therapeutic targets. Nature Communications. 14(1). 7470–7470. 12 indexed citations
3.
Zuo, Michelle, Louis‐Philippe Bernier, Shoshana Spring, et al.. (2022). Age-dependent gray matter demyelination is associated with leptomeningeal neutrophil accumulation. JCI Insight. 7(12). 8 indexed citations
4.
Mocsár, Gábor, Péter P. Nánási, Anshu Sharma, et al.. (2022). Doxorubicin impacts chromatin binding of HMGB1, Histone H1 and retinoic acid receptor. Scientific Reports. 12(1). 8087–8087. 8 indexed citations
5.
Nesari, Tanuja Manoj, et al.. (2021). Ayurvedic management of COVID-19/SARS-CoV-2 along with chronic diabetes mellitus: A case study. SHILAP Revista de lepidopterología. 15(4). 311–311.
6.
Ward, Lesley A., Dennis S. W. Lee, Anshu Sharma, et al.. (2019). Siponimod therapy implicates Th17 cells in a preclinical model of subpial cortical injury. JCI Insight. 5(1). 24 indexed citations
7.
8.
Singh, Archana, Alok Jaiswal, Anshu Sharma, et al.. (2017). Association and expression of the antigen-processing gene PSMB8, coding for low-molecular-mass protease 7, with vitiligo in North India: case-control study. British Journal of Dermatology. 178(2). 482–491. 11 indexed citations
9.
Sharma, Anshu, et al.. (2016). Prevalence of enterococci and its antibiotic resistance in various clinical samples at tertiary care hospital in Southern Rajasthan, India. International Journal of Research in Medical Sciences. 3413–3416. 6 indexed citations
10.
Sharma, Anshu, et al.. (2016). Otocephaly: a case report. International Journal of Research in Medical Sciences. 1286–1289. 2 indexed citations
11.
Singh, Mahavir, et al.. (2016). Relative expression of proinflammatory cytokines by real time PCR in milk somatic cells of subclinical mastitis affected buffaloes. The Indian Journal of Animal Sciences. 86(9). 2 indexed citations
12.
Sharma, Anshu, et al.. (2016). Comparison of low dose Dhaka regimen of magnesium sulphate with standard pritchard regimen in eclampsia. International Journal of Reproduction Contraception Obstetrics and Gynecology. 3954–3958. 5 indexed citations
13.
Sharma, Anshu, et al.. (2015). Detection of major mastitis pathogens by multiplex polymerase chain reaction assay in buffalo milk. The Indian Journal of Animal Sciences. 85(2). 10 indexed citations
14.
Chandolia, R.K., et al.. (2015). Isolation and Antibiotic Sensitivity of Uterine Microbial Pathogens-A Study of 30 Endometritis Affected Mares. INTAS POLIVET. 16(2). 223–230. 2 indexed citations
15.
Sharma, Anshu, et al.. (2015). Bovine Respiratory Disease (BRD) Complex in Buffaloes-A Study of Associated Bacterial Isolates and their Antibiograms. INTAS POLIVET. 16(2). 189–192.
16.
Kumar, Pankaj, et al.. (2014). Kinetics of acute phase proteins in streptococcal and staphylococcal mastitis in cows. Indian Journal of Comparative Microbiology Immunology and Infectious Diseases. 35(1). 13–17.
17.
Sindhu, Neelesh, Anshu Sharma, & Vinod Jain. (2010). Molecular detection of Staphylococcus aureus mastitis in crossbred cows based on genus specific gap gene and species specific aroA gene PCR assay.. The Indian Journal of Animal Sciences. 80(4). 275–278. 3 indexed citations
18.
Sharma, Anshu, et al.. (2009). In vitro comparative screening of antibacterial and antifungal activities of some common plants and weeds extracts.. 23(1). 169–172. 14 indexed citations
19.
Sharma, Anshu, et al.. (2008). In Vitro studies on antimicrobial activity of Allium Sativum against bacterial and fungal pathogens of animal health importance. 10(1). 46–49. 1 indexed citations
20.
Radvanyi, Laszlo, Yufang Shi, Homayoun Vaziri, et al.. (1996). CD28 costimulation inhibits TCR-induced apoptosis during a primary T cell response. The Journal of Immunology. 156(5). 1788–1798. 164 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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