Subhash Ajmani

653 citations
15 papers · 538 · h-index 12

Impact in

Papers in

Subhash Ajmani

15 papers receiving 516 citations

Peers

Subhash Ajmani
Comparison fields: 5 of 92
  • Computational Theory and Mathematics 306
  • Organic Chemistry 219
  • Toxicology 18
  • Pharmacology 51
  • Spectroscopy 51
Replace Prajwal P. Nandekar with:
Prajwal P. Nandekar India
Valentin Steinhauer Germany
Alban Lepailleur France
Tomasz Magdziarz Poland
Liane Saı́z-Urra Spain
Iurii Sushko Germany
Jianlong Peng China
Daniela Trisciuzzi Italy
Arwa Bin Raies Saudi Arabia
Maykel Cruz‐Monteagudo Portugal
Subhash Ajmani relative to Prajwal P. Nandekar India Prajwal P. Nandekar's profile →
Citations per field
00.5×1.5×1.8×
Prajwal P. Nandekar · 1×
Citations per year

Countries citing papers authored by Subhash Ajmani

Since Specialization
Citations

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

Fields of papers citing papers by Subhash Ajmani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Subhash Ajmani, 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 Subhash Ajmani Line = papers co-authored together Subhash Ajmani links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2005172
2 200868
3 200654
4 200449
5 200836
6 201034
7 200823
8 200621
9 201216
10 200815
11 201315
12 201011
13 201511
14 200910
15 20133

About Subhash Ajmani

Subhash Ajmani is a scholar working on Molecular Biology, Computational Theory and Mathematics, Pharmacology, Infectious Diseases and Organic Chemistry, having authored 15 papers that have together received 538 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Protein Structure and Dynamics (2 papers), Spectroscopy and Chemometric Analyses (2 papers), Synthesis and biological activity (2 papers), Analytical Chemistry and Chromatography (2 papers), DNA Repair Mechanisms (1 paper), Click Chemistry and Applications (1 paper) and Galectins and Cancer Biology (1 paper). The work is most often cited by research in Computational Theory and Mathematics (306 citations), Organic Chemistry (219 citations), Toxicology (18 citations), Pharmacology (51 citations) and Spectroscopy (51 citations). Subhash Ajmani has collaborated with scholars based in India, United Kingdom and Norway. Frequent co-authors include Sudhir A. Kulkarni, David J. Livingstone, Mark H. Barley, Stephen C. Rogers, Andrew N. Burgess, Vellarkad N. Viswanadhan, Mahima Bajpayee, Deepak Gurbani, Alok Dhawan and Devendra Parmar. Their work appears in journals such as Journal of Chemical Information and Modeling, Molecular Informatics, Journal of Molecular Graphics and Modelling, Bioorganic & Medicinal Chemistry and Mutation research. Fundamental and molecular mechanisms of mutagenesis.

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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