Shikhar Sharma

2.9k total citations
28 papers, 1.2k citations indexed

About

Shikhar Sharma is a scholar working on Molecular Biology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shikhar Sharma has authored 28 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 12 papers in Artificial Intelligence and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shikhar Sharma's work include Epigenetics and DNA Methylation (8 papers), Natural Language Processing Techniques (6 papers) and Topic Modeling (5 papers). Shikhar Sharma is often cited by papers focused on Epigenetics and DNA Methylation (8 papers), Natural Language Processing Techniques (6 papers) and Topic Modeling (5 papers). Shikhar Sharma collaborates with scholars based in United States, India and Canada. Shikhar Sharma's co-authors include Peter A. Jones, Gangning Liang, Daniel D. De Carvalho, Allen S. Yang, Shinwu Jeong, Theresa K. Kelly, Kimberly D. Siegmund, Erika M. Wolff, Xiaojing Yang and Sheng‐Fang Su and has published in prestigious journals such as Molecular and Cellular Biology, Cancer Cell and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Shikhar Sharma

28 papers receiving 1.1k citations

Peers

Shikhar Sharma
Comparison fields: 5 of 115
  • Molecular Biology 811
  • Artificial Intelligence 197
  • Cancer Research 142
  • Genetics 123
  • Oncology 84
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Citations per field, relative to Shikhar Sharma
Shikhar Sharma · 1×
Citations per year, relative to Shikhar Sharma
Shikhar Sharma · 1×

Countries citing papers authored by Shikhar Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Shikhar Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shikhar Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Shikhar Sharma. A scholar is included among the top collaborators of Shikhar 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 Shikhar Sharma. Shikhar 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
# Work Indexed citations
1 28
2 4
3 16
4 19
5 16
6 66
7 26
8 5
9
Dead-ends and Secure Exploration in Reinforcement Learning
4
10
From FiLM to Video: Multi-turn Question Answering with Multi-modal Context
5
11
Keep Drawing It: Iterative language-based image generation and editing.
4
12
Natural Language Generation in Dialogue using Lexicalized and Delexicalized Data
3
13 113
14
Semantic Extraction of Named Entities From Bank Wire Text.
1
15 54
16 214
17 18
18 91
19 220
20 144

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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