Deepika Sharma

1.7k total citations
48 papers, 1.3k citations indexed

About

Deepika Sharma is a scholar working on Organic Chemistry, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Deepika Sharma has authored 48 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Organic Chemistry, 7 papers in Computational Theory and Mathematics and 5 papers in Molecular Biology. Recurrent topics in Deepika Sharma's work include Synthesis and biological activity (22 papers), Synthesis and Biological Evaluation (8 papers) and Computational Drug Discovery Methods (7 papers). Deepika Sharma is often cited by papers focused on Synthesis and biological activity (22 papers), Synthesis and Biological Evaluation (8 papers) and Computational Drug Discovery Methods (7 papers). Deepika Sharma collaborates with scholars based in India, Malaysia and United Kingdom. Deepika Sharma's co-authors include Balasubramanian Narasimhan, Pradeep Kumar, Vikramjeet Judge, Rakesh Narang, Erik De Clercq, Jan Balzarini, Ranju Bansal, Sanjiv Kumar, Abraham F. Jalbout and Rohit Bajaj and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Neurology.

In The Last Decade

Deepika Sharma

44 papers receiving 1.2k citations

Peers

Deepika Sharma
Comparison fields: 5 of 138
  • Organic Chemistry 820
  • Molecular Biology 245
  • Computational Theory and Mathematics 139
  • Oncology 93
  • Pharmacology 81
Replace Kamal Shah with:
Kamal Shah India
Abdul Samad India
Guilherme Fernandes Brazil
Mohamed I. Attia Saudi Arabia
Vânia M. Moreira Portugal
Shagufta Shagufta India
Shailendra K. Saraf India
Yaseen A. M. M. Elshaier Egypt
Renu Vyas India
Armin Madadkar‐Sobhani Iran
Kamal Shah India View profile →
Citations per field, relative to Deepika Sharma
Deepika Sharma · 1×
Citations per year, relative to Deepika Sharma
Deepika Sharma · 1×

Countries citing papers authored by Deepika Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Deepika Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepika Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Deepika Sharma. A scholar is included among the top collaborators of Deepika 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 Deepika Sharma. Deepika 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 0
2 1
3 0
4 1
5 23
6 2
7 28
8 10
9 9
10 6
11 90
12 20
13 0
14 6
15 18
16 2
17 62
18 207
19 55
20 63

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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