Salam Pradeep Singh

42 total papers · 498 total citations
34 papers, 355 citations indexed

About

Salam Pradeep Singh is a scholar working on Molecular Biology, Organic Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Salam Pradeep Singh has authored 34 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 9 papers in Organic Chemistry and 8 papers in Computational Theory and Mathematics. Recurrent topics in Salam Pradeep Singh's work include Synthesis and biological activity (8 papers), Computational Drug Discovery Methods (8 papers) and Microbial bioremediation and biosurfactants (4 papers). Salam Pradeep Singh is often cited by papers focused on Synthesis and biological activity (8 papers), Computational Drug Discovery Methods (8 papers) and Microbial bioremediation and biosurfactants (4 papers). Salam Pradeep Singh collaborates with scholars based in India, China and Japan. Salam Pradeep Singh's co-authors include Bolin Kumar Konwar, Pranjal Bharali, Chingakham Brajakishor Singh, Dinabandhu Sahoo, Nima D. Namsa, Manabendra Mandal, Devabrata Saikia, Ajay Kumar Manhar, Kuldeep Gupta and Niranjan Karak and has published in prestigious journals such as Scientific Reports, RSC Advances and Current Pharmaceutical Design.

In The Last Decade

Salam Pradeep Singh

32 papers receiving 346 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Salam Pradeep Singh 145 75 58 48 47 34 355
Habeebat Adekilekun Oyewusi 121 0.8× 77 1.0× 30 0.5× 50 1.0× 28 0.6× 29 317
Shazia Haider 133 0.9× 49 0.7× 36 0.6× 65 1.4× 30 0.6× 37 386
Deepak A. Yaraguppi 124 0.9× 54 0.7× 43 0.7× 89 1.9× 22 0.5× 32 402
Carmine Buonocore 121 0.8× 60 0.8× 23 0.4× 41 0.9× 16 0.3× 18 310
Marimuthu Ragavan Rameshkumar 115 0.8× 19 0.3× 45 0.8× 58 1.2× 63 1.3× 29 400
Kunal Dutta 95 0.7× 40 0.5× 27 0.5× 27 0.6× 41 0.9× 25 363
Gianmarco Mangiaterra 150 1.0× 79 1.1× 41 0.7× 10 0.2× 12 0.3× 30 384
Baowei Yang 158 1.1× 42 0.6× 32 0.6× 22 0.5× 24 0.5× 34 396
Shoba Gunasekaran 93 0.6× 15 0.2× 25 0.4× 35 0.7× 27 0.6× 37 305
Banu Kaşkatepe 87 0.6× 79 1.1× 46 0.8× 53 1.1× 7 0.1× 42 369

Countries citing papers authored by Salam Pradeep Singh

Since Specialization
Citations

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

Fields of papers citing papers by Salam Pradeep Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Salam Pradeep Singh. 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 Salam Pradeep Singh. The network helps show where Salam Pradeep Singh may publish in the future.

Co-authorship network of co-authors of Salam Pradeep Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Salam Pradeep Singh. A scholar is included among the top collaborators of Salam Pradeep Singh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Salam Pradeep Singh. Salam Pradeep Singh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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