Shopnil Akash

82 papers receiving 1.2k citations

Shopnil Akash's Hit Papers

Colon cancer and colorectal cancer: Prevention and treatment by potential natural products 2022 · 161 citations
1610+1+2Years since publication50100150

Peers

Shopnil Akash
Comparison fields: 5 of 124
  • Toxicology 65
  • Molecular Medicine 71
  • Health Informatics 18
  • Computational Theory and Mathematics 187
  • Pharmacology 101
Replace Rajnish Kumar with:
Rajnish Kumar India
Faris Alrumaihi Saudi Arabia
Bilal Shaker South Korea
Devadasan Velmurugan India
Sarah Naomi Bolz Germany
Md. Faiyazuddin India
Florian Kaiser Germany
Subhash Chandra India
Jieling Zhao United States
Edeildo Ferreira da Silva‐Júnior Brazil
Shopnil Akash relative to Rajnish Kumar India Rajnish Kumar's profile →
Citations per field
00.5×2.6×
Rajnish Kumar · 1×
Citations per year

Countries citing papers authored by Shopnil Akash

Since Specialization
Citations

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

Fields of papers citing papers by Shopnil Akash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Shopnil Akash, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shopnil Akash Line = papers co-authored together Shopnil Akash links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Colon cancer and colorectal cancer: Prevention and treatment by potential natural products
Hit paper breakdown →
2022161
2 202299
3 202366
4 202254
5 202350
6 202239
7 202236
8 202333
9 202231
10 202329
11 202228
12 202227
13 202325
14 202224
15 202423
16 202321
17 202121
18 202320
19 202320
20 202218

About Shopnil Akash

Shopnil Akash is a scholar working on Molecular Biology, Computational Theory and Mathematics, Infectious Diseases, Plant Science and Organic Chemistry, having authored 91 papers that have together received 1.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (22 papers), vaccines and immunoinformatics approaches (10 papers), Synthesis and biological activity (8 papers), SARS-CoV-2 and COVID-19 Research (7 papers), Viral Infections and Outbreaks Research (6 papers), Bacteriophages and microbial interactions (5 papers), Phytochemical compounds biological activities (4 papers) and Pharmacological Effects of Natural Compounds (4 papers). The work is most often cited by research in Toxicology (65 citations), Molecular Medicine (71 citations), Health Informatics (18 citations), Computational Theory and Mathematics (187 citations) and Pharmacology (101 citations). Shopnil Akash has collaborated with scholars based in Bangladesh, Saudi Arabia and India. Frequent co-authors include Md. Rezaul Islam, Md. Mominur Rahman, Abdur Rauf, Ajoy Kumer, Abdullah S. M. Aljohani, Sheikh Shohag, Rohit Sharma, Unesco Chakma, Polrat Wilairatana and Jesús Simal‐Gándara. Their work appears in journals such as Scientific Reports, Frontiers in Cellular and Infection Microbiology, Frontiers in Microbiology, International Journal of Surgery and Journal of Biomolecular Structure and Dynamics.

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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