Somnath Paul

770 citations
17 papers · 646 indexed · 1 hit paper · h-index 8

Somnath Paul

15 papers receiving 635 citations

Hit Papers

On Two Novel Parameters for Validation of Predictive QSAR...4722009202620142020100200300400

Peers

Somnath Paul
Comparison fields: 5 of 109
  • Computational Theory and Mathematics 376
  • Organic Chemistry 211
  • Toxicology 19
  • Pharmacology 59
  • Analytical Chemistry 33
Replace Andrew G. Mercader with:
Andrew G. Mercader Argentina
Peiwen Di China
Arwa Bin Raies Saudi Arabia
Rudolf Kiralj Brazil
Lotfollah Saghaie Iran
V. Ragunathan India
Subhash Ajmani India
Sani Uba Nigeria
Prafulla B. Choudhari India
Mahesh T. Chhabria India
Somnath Paul relative to Andrew G. Mercader Argentina Andrew G. Mercader's profile →
Citations per field
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Citations per year

Countries citing papers authored by Somnath Paul

Since Specialization
Citations

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

Fields of papers citing papers by Somnath Paul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 20 scholars most cited alongside Somnath Paul, 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 Somnath Paul Line = papers co-authored together Somnath Paul links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 20221
2 20222
3 20207
4 201927
5 20181
6 201729
7 20172
8 20175
9 20150
10 20132
11 20130
12 20135
13 20109
14 200922
15 200918
16
On Two Novel Parameters for Validation of Predictive QSAR Modelsbreakdown →
2009472
17 200944

About Somnath Paul

Somnath Paul is a scholar working on Computational Theory and Mathematics, Pediatrics, Perinatology and Child Health and Materials Chemistry, having authored 17 papers that have together received 646 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Neonatal Health and Biochemistry (3 papers), Carbon and Quantum Dots Applications (3 papers), Protein Interaction Studies and Fluorescence Analysis (3 papers), Graphene research and applications (2 papers), Synthesis and biological activity (2 papers), Gold and Silver Nanoparticles Synthesis and Applications (2 papers) and Semiconductor materials and devices (2 papers). The work is most often cited by research in Computational Theory and Mathematics (376 citations), Organic Chemistry (211 citations) and Toxicology (19 citations). Somnath Paul has collaborated with scholars based in India, United States and China. Frequent co-authors include Kunal Roy, Partha Pratim Roy, Indrani Mitra, Tapan Ganguly, Munmun Bardhan, Abhijit Saha, Ishani Mitra, Arunava Goswami, Kuntal Sarkar and Bibhutibhushan Show. Their work appears in journals such as Molecules, Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy and Journal of Photochemistry and Photobiology B Biology.

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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