Shvetank Sharma

2.3k total citations
48 papers, 1.6k citations indexed

About

Shvetank Sharma is a scholar working on Epidemiology, Pathology and Forensic Medicine and Molecular Biology. According to data from OpenAlex, Shvetank Sharma has authored 48 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Epidemiology, 16 papers in Pathology and Forensic Medicine and 15 papers in Molecular Biology. Recurrent topics in Shvetank Sharma's work include Liver Disease Diagnosis and Treatment (24 papers), Alcohol Consumption and Health Effects (16 papers) and Diet, Metabolism, and Disease (7 papers). Shvetank Sharma is often cited by papers focused on Liver Disease Diagnosis and Treatment (24 papers), Alcohol Consumption and Health Effects (16 papers) and Diet, Metabolism, and Disease (7 papers). Shvetank Sharma collaborates with scholars based in India, United States and France. Shvetank Sharma's co-authors include Neeraj K. Saxena, Frank A. Anania, Jamie E. Mells, Ping Fu, Shiv Kumar Sarin, Jeffrey A. Handy, Saggere Muralikrishna Shasthry, Rakhi Maiwall, Guresh Kumar and Manoj Kumar and has published in prestigious journals such as PLoS ONE, Hepatology and Scientific Reports.

In The Last Decade

Shvetank Sharma

46 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shvetank Sharma India 19 1.0k 565 361 342 290 48 1.6k
Monika Rau Germany 21 1.1k 1.1× 553 1.0× 359 1.0× 390 1.1× 103 0.4× 44 1.7k
Nicolas Lanthier Belgium 24 949 0.9× 731 1.3× 307 0.9× 436 1.3× 218 0.8× 91 2.1k
Martin Schlattjan Germany 17 1.1k 1.1× 387 0.7× 271 0.8× 561 1.6× 124 0.4× 34 1.6k
Çiğdem Çelikel Türkiye 23 930 0.9× 348 0.6× 378 1.0× 363 1.1× 219 0.8× 83 1.7k
Takemi Akahane Japan 24 766 0.8× 565 1.0× 234 0.6× 529 1.5× 131 0.5× 108 1.8k
Christoph Grander Austria 18 711 0.7× 400 0.7× 216 0.6× 139 0.4× 146 0.5× 34 1.2k
Bubu A. Banini United States 14 958 0.9× 375 0.7× 427 1.2× 308 0.9× 99 0.3× 37 1.3k
G.L. Rapaccini Italy 11 1.1k 1.1× 551 1.0× 371 1.0× 339 1.0× 120 0.4× 23 1.5k
Ariel E. Feldstein United States 15 958 0.9× 680 1.2× 240 0.7× 544 1.6× 127 0.4× 23 1.7k
F. Pons‐Romero Spain 21 1.6k 1.6× 374 0.7× 369 1.0× 934 2.7× 326 1.1× 61 2.1k

Countries citing papers authored by Shvetank Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Shvetank Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shvetank Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Shvetank Sharma. A scholar is included among the top collaborators of Shvetank 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 Shvetank Sharma. Shvetank 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.
2.
Kaur, Manjeet, Shvetank Sharma, Sukriti Baweja, et al.. (2025). Baseline oral microbiome associated with post-living donor liver transplant early complications within 6 months. Liver Transplantation.
3.
Sharma, Neha, Manisha Yadav, Y. Magar, et al.. (2024). Plasma lipidomics and fungal peptide-based community analysis identifies distinct signatures for early mortality in acute liver failure. Clinical and Molecular Hepatology. 31(4). 1233–1251. 1 indexed citations
4.
Kumar, Guresh, et al.. (2024). Ethanol with thioacetamide murine model of alcoholic liver disease identifies hepatic pathways as targets for the human disease. Annals of Hepatology. 30(1). 101565–101565. 1 indexed citations
5.
Yadav, Manisha, et al.. (2023). Biomolecular map of albumin identifies signatures of severity and early mortality in acute liver failure. Journal of Hepatology. 79(3). 677–691. 6 indexed citations
6.
Pande, Apurva, Shvetank Sharma, Vikas Khillan, et al.. (2022). Fecal microbiota transplantation compared with prednisolone in severe alcoholic hepatitis patients: a randomized trial. Hepatology International. 17(1). 249–261. 59 indexed citations
7.
Yadav, Manisha, et al.. (2021). Global metabolome profiling of COVID-19 respiratory specimen using high-resolution mass spectrometry (HRMS). STAR Protocols. 3(1). 101051–101051. 8 indexed citations
8.
Maras, Jaswinder Singh, et al.. (2021). Multi-omics analysis of respiratory specimen characterizes baseline molecular determinants associated with SARS-CoV-2 outcome. iScience. 24(8). 102823–102823. 27 indexed citations
9.
10.
Sharma, Shvetank, Sukriti Baweja, Jaswinder Singh Maras, et al.. (2021). Differential blood transcriptome modules predict response to corticosteroid therapy in alcoholic hepatitis. JHEP Reports. 3(3). 100283–100283. 11 indexed citations
11.
12.
Maras, Jaswinder Singh, Sukanta Das, Shvetank Sharma, et al.. (2018). Baseline urine metabolic phenotype in patients with severe alcoholic hepatitis and its association with outcome. Hepatology Communications. 2(6). 628–643. 9 indexed citations
13.
Sukriti, Sukriti, Manish C. Choudhary, Jaswinder Singh Maras, et al.. (2018). Extracellular vesicles from hepatitis B patients serve as reservoir of hepatitis B virus DNA. Journal of Viral Hepatitis. 26(1). 211–214. 23 indexed citations
14.
Sukriti, Sukriti, Jaswinder Singh Maras, Chhagan Bihari, et al.. (2018). Microvesicles in hepatic and peripheral vein can predict nonresponse to corticosteroid therapy in severe alcoholic hepatitis. Alimentary Pharmacology & Therapeutics. 47(8). 1151–1161. 24 indexed citations
15.
Maras, Jaswinder Singh, Sukanta Das, Sachin Sharma, et al.. (2018). Iron-Overload triggers ADAM-17 mediated inflammation in Severe Alcoholic Hepatitis. Scientific Reports. 8(1). 10264–10264. 36 indexed citations
16.
Sharma, Shvetank, Jaswinder Singh Maras, Sukanta Das, et al.. (2017). Pre-therapy liver transcriptome landscape in Indian and French patients with severe alcoholic hepatitis and steroid responsiveness. Scientific Reports. 7(1). 6816–6816. 18 indexed citations
17.
Philips, Cyriac Abby, Apurva Pande, Saggere Muralikrishna Shasthry, et al.. (2016). Healthy Donor Fecal Microbiota Transplantation in Steroid-Ineligible Severe Alcoholic Hepatitis: A Pilot Study. Clinical Gastroenterology and Hepatology. 15(4). 600–602. 261 indexed citations
18.
Choudhary, Manish C., Ekta Gupta, Shvetank Sharma, et al.. (2014). Identification and full-length molecular characterization of rare hepatitis C virus genotype 5a from India. Archives of Virology. 160(1). 329–333. 3 indexed citations
19.
Sharma, Shvetank, Ujjal K. Singha, & Minu Chaudhuri. (2010). Role of Tob55 on mitochondrial protein biogenesis in Trypanosoma brucei. Molecular and Biochemical Parasitology. 174(2). 89–100. 24 indexed citations
20.
Sharma, Shvetank, et al.. (1990). Tc-99m human serum albumin abdominal scanning in protein-losing enteropathy.. PubMed. 9(4). 313–313. 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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