Shakti Sahi

591 total citations
49 papers, 404 citations indexed

About

Shakti Sahi is a scholar working on Molecular Biology, Computational Theory and Mathematics and Pharmacology. According to data from OpenAlex, Shakti Sahi has authored 49 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 16 papers in Computational Theory and Mathematics and 7 papers in Pharmacology. Recurrent topics in Shakti Sahi's work include Computational Drug Discovery Methods (16 papers), Receptor Mechanisms and Signaling (15 papers) and Inflammatory mediators and NSAID effects (6 papers). Shakti Sahi is often cited by papers focused on Computational Drug Discovery Methods (16 papers), Receptor Mechanisms and Signaling (15 papers) and Inflammatory mediators and NSAID effects (6 papers). Shakti Sahi collaborates with scholars based in India, China and Türkiye. Shakti Sahi's co-authors include Aman Chandra Kaushik, Dong‐Qing Wei, Priyanshu Sharma, Vikrant Nain, Sanjay Kumar, Shiv Bharadwaj, Anju Verma, Rekha Puria, Ajay Kumar and Roberto Ciccoli and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biochemical Journal and Journal of materials research/Pratt's guide to venture capital sources.

In The Last Decade

Shakti Sahi

49 papers receiving 397 citations

Peers

Shakti Sahi
Comparison fields: 5 of 82
  • Molecular Biology 218
  • Computational Theory and Mathematics 110
  • Organic Chemistry 60
  • Pharmacology 56
  • Oncology 32
Replace Prasenjit Bhaumik with:
Prasenjit Bhaumik India
Indu R. Chandrashekaran Australia
Christophe Bovigny Switzerland
Lobanov MIu Russia
Konrad Diedrich Germany
Kathryn Loving United States
Galzitskaia Ov Russia
Shubham Srivastava India
Ana Paula de Campos Guimarães Brazil
Luciano Porto Kagami Brazil
Prasenjit Bhaumik India View profile →
Citations per field, relative to Shakti Sahi
Shakti Sahi · 1×
Citations per year, relative to Shakti Sahi
Shakti Sahi · 1×

Countries citing papers authored by Shakti Sahi

Since Specialization
Citations

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

Fields of papers citing papers by Shakti Sahi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shakti Sahi

This figure shows the co-authorship network connecting the top 25 collaborators of Shakti Sahi. A scholar is included among the top collaborators of Shakti Sahi 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 Shakti Sahi. Shakti Sahi 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 1
2 3
3 1
4 8
5 2
6 2
7 10
8 17
9 2
10 7
11 4
12 18
13
Role of TCA cycle Truncation in Cancer Cell Energetics
1
14 4
15 3
16 18
17 12
18 16
19 18
20 30

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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