Shvetank Sharma

2.3k citations
48 papers · 1.6k indexed · h-index 19
Topics
Liver Disease Diagnosis and Treatment (24 papers)Alcohol Consumption and Health Effects (16 papers)Diet, Metabolism, and Disease (7 papers)
Partner nations
IndiaUnited StatesFrance

In The Last Decade

Shvetank Sharma

46 papers receiving 1.6k citations

Peers

Shvetank Sharma
Comparison fields: 5 of 87
  • Epidemiology 1.0k
  • Molecular Biology 565
  • Endocrinology, Diabetes and Metabolism 361
  • Hepatology 342
  • Pathology and Forensic Medicine 290
Replace Nicolas Lanthier with:
Nicolas Lanthier Belgium
Monika Rau Germany
Takemi Akahane Japan
Çiğdem Çelikel Türkiye
Christoph Grander Austria
Eric Quertinmont Belgium
Kei Moriya Japan
Felix Grabherr Austria
F. Pons‐Romero Spain
Alişan Kahraman Germany
Shvetank Sharma relative to Nicolas Lanthier Belgium Nicolas Lanthier's profile →
Citations per field
00.5×1.5×
Nicolas Lanthier · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 0
3 1
4 1
5 1
6 6
7 27
8 8
9 6
10 11
11 1
12 23
13 36
14 9
15 18
16 6
17 261
18 3
19 31
20 24

About Shvetank Sharma

Shvetank Sharma is a scholar working on Hepatology, Epidemiology and Pathology and Forensic Medicine, having authored 48 papers that have together received 1.6k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (24 papers), Alcohol Consumption and Health Effects (16 papers) and Diet, Metabolism, and Disease (7 papers). The work is most often cited by research in Hepatology (342 citations), Epidemiology (1.0k citations) and Endocrinology, Diabetes and Metabolism (361 citations). Shvetank Sharma has collaborated with scholars based in India, United States and France. Frequent co-authors include Frank A. Anania, Neeraj K. Saxena, Jamie E. Mells, Ping Fu, Shiv Kumar Sarin, Jeffrey A. Handy, Saggere Muralikrishna Shasthry, Rakhi Maiwall, Guresh Kumar and Jaswinder Singh Maras. Their work appears in journals such as PLoS ONE, Hepatology and Scientific Reports.

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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