Subham Das

857 citations
42 papers · 617 · h-index 14

Impact in

Papers in

    • Synthesis and biological activity 14
    • PI3K/AKT/mTOR signaling in cancer 4
    • Phenothiazines and Benzothiazines Synthesis and Activities 2

Subham Das

40 papers receiving 605 citations

Peers

Subham Das
Comparison fields: 5 of 103
  • Organic Chemistry 169
  • Computational Theory and Mathematics 78
  • Toxicology 14
  • Complementary and alternative medicine 28
  • Pharmacology 57
Replace Mohamed A. Helal with:
Mohamed A. Helal Egypt
Santosh N. Mokale India
Venkatesan Suryanarayanan India
Gaurava Srivastava India
Muthusamy Ramesh India
M. Alaraby Salem Egypt
Rahul P. Gangwal India
Saleh I. Alaqel Saudi Arabia
Ashwag S. Alanazi Saudi Arabia
Prashantha Karunakar India
Subham Das relative to Mohamed A. Helal Egypt Mohamed A. Helal's profile →
Citations per field
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Mohamed A. Helal · 1×
Citations per year

Countries citing papers authored by Subham Das

Since Specialization
Citations

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

Fields of papers citing papers by Subham Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202057
2 202252
3 202150
4 202047
5 202046
6 202240
7 202135
8 202029
9 202226
10 202121
11 202121
12 202117
13 202316
14 202116
15 202013
16 202211
17 202411
18 202210
19 202210
20 20219

About Subham Das

Subham Das is a scholar working on Organic Chemistry, Molecular Biology, Computational Theory and Mathematics, Pharmacology and Infectious Diseases, having authored 42 papers that have together received 617 indexed citations. Recurring topics across this work include Synthesis and biological activity (14 papers), Computational Drug Discovery Methods (11 papers), Cholinesterase and Neurodegenerative Diseases (7 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Alzheimer's disease research and treatments (4 papers), COVID-19 Clinical Research Studies (3 papers), Phenothiazines and Benzothiazines Synthesis and Activities (2 papers) and Bioactive Compounds and Antitumor Agents (2 papers). The work is most often cited by research in Organic Chemistry (169 citations), Computational Theory and Mathematics (78 citations), Toxicology (14 citations), Complementary and alternative medicine (28 citations) and Pharmacology (57 citations). Subham Das has collaborated with scholars based in India, Saudi Arabia and Malaysia. Frequent co-authors include Alex Joseph, Angel Treasa Alex, Kashif Haider, Mohammad Shahar Yar, Srinivas Mutalik, Bahar Ahmed, Krishnadas Nandakumar, Richard Lobo, Abhijeet Pandey and Ajinkya Nitin Nikam. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, CNS & Neurological Disorders - Drug Targets, Current Neuropharmacology, Life Sciences and Nanomaterials.

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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