Achintya Saha

2.9k citations
154 papers · 2.3k indexed · h-index 26

Impact in

Papers in

Achintya Saha

152 papers receiving 2.3k citations

Peers

Achintya Saha
Comparison fields: 5 of 145
  • Computational Theory and Mathematics 782
  • Biochemistry 129
  • Complementary and alternative medicine 168
  • Toxicology 69
  • Organic Chemistry 567
Replace Anas Shamsi with:
Anas Shamsi India
Sridevi Chigurupati Saudi Arabia
Ningning Wang China
Guo‐Li Xiong China
Om Silakari India
Arno G. Siraki Canada
Zhiyan Xiao China
Giovanni Lentini Italy
Katrin Palm Sweden
Achintya Saha relative to Anas Shamsi India Anas Shamsi's profile →
Citations per field
00.5×6.2×
Anas Shamsi · 1×
Citations per year

Countries citing papers authored by Achintya Saha

Since Specialization
Citations

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

Fields of papers citing papers by Achintya Saha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Achintya Saha, 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 Achintya Saha Line = papers co-authored together Achintya Saha links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20255
4 20251
5 20233
6 202125
7 20206
8 20208
9 20198
10 201721
11 201714
12 201714
13 201714
14 20146
15 20099
16 200649
17
QSPR with TAU indices : Molar refractivity of diverse functional acyclic compounds
200510
18
QSPR with TAU indices: Boiling points of sulfides and thiols
200412
19
QSAR with electrotopological state atom index: Part IV † — Receptor binding affinity of progestagens
20021
20
Centchroman : Effects On Blood-Lipid
19992

About Achintya Saha

Achintya Saha is a scholar working on Computational Theory and Mathematics, Toxicology, Pharmacology, Organic Chemistry and Biochemistry, having authored 154 papers that have together received 2.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (69 papers), Synthesis and biological activity (25 papers), Free Radicals and Antioxidants (24 papers), Estrogen and related hormone effects (20 papers), Cholinesterase and Neurodegenerative Diseases (11 papers), Peptidase Inhibition and Analysis (9 papers), Bioactive Compounds and Antitumor Agents (8 papers) and Protease and Inhibitor Mechanisms (7 papers). The work is most often cited by research in Computational Theory and Mathematics (782 citations), Biochemistry (129 citations), Complementary and alternative medicine (168 citations), Toxicology (69 citations) and Organic Chemistry (567 citations). Achintya Saha has collaborated with scholars based in India, United Kingdom and Saudi Arabia. Frequent co-authors include Kunal Roy, Indrani Mitra, Tarun Jha, Nilanjan Adhikari, Amit Kumar Halder, Saikat Dewanjee, Shovonlal Bhowmick, Tarun Kumar Dua, Sk. Abdul Amin and Swarnalata Joardar. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, Journal of Molecular Modeling, European Journal of Medicinal Chemistry, Medicinal Chemistry Research and SAR and QSAR in environmental research.

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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