Nirmal Singh

296 total papers · 11.6k total citations
256 papers, 9.2k citations indexed

About

Nirmal Singh is a scholar working on Physiology, Pathology and Forensic Medicine and Molecular Biology. According to data from OpenAlex, Nirmal Singh has authored 256 papers receiving a total of 9.2k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Physiology, 57 papers in Pathology and Forensic Medicine and 56 papers in Molecular Biology. Recurrent topics in Nirmal Singh's work include Cardiac Ischemia and Reperfusion (56 papers), Pain Mechanisms and Treatments (48 papers) and Anesthesia and Neurotoxicity Research (37 papers). Nirmal Singh is often cited by papers focused on Cardiac Ischemia and Reperfusion (56 papers), Pain Mechanisms and Treatments (48 papers) and Anesthesia and Neurotoxicity Research (37 papers). Nirmal Singh collaborates with scholars based in India, Russia and United States. Nirmal Singh's co-authors include Amteshwar Singh Jaggi, Anjana Bali, Bhupesh Sharma, Arunachalam Muthuraman, Preet Anand, Rupinder Kaur Sodhi, Baldev Singh, Ashish K. Rehni, Vivek Jain and Puneet Kaur Randhawa and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Brain Research.

In The Last Decade

Nirmal Singh

251 papers receiving 9.0k citations

Hit Papers

Advanced Glycation End Pr... 2011 2026 2016 2021 2014 2011 2014 250 500 750 1000

Author Peers

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

Author Last Decade Papers Cites
Nirmal Singh 2.8k 2.3k 1.3k 1.2k 945 256 9.2k
Amteshwar Singh Jaggi 2.4k 0.8× 1.9k 0.8× 762 0.6× 1.1k 0.9× 590 0.6× 196 7.8k
Mustafa Nazıroğlu 2.0k 0.7× 2.7k 1.2× 786 0.6× 1.1k 0.9× 490 0.5× 303 11.5k
Ghulam Md Ashraf 2.4k 0.9× 3.4k 1.5× 1.3k 1.0× 656 0.5× 927 1.0× 353 10.4k
Akio Sato 2.1k 0.8× 1.3k 0.6× 648 0.5× 1.3k 1.1× 524 0.6× 354 9.8k
Mehrdad Roghani 1.3k 0.5× 1.8k 0.8× 1.1k 0.9× 888 0.7× 844 0.9× 306 6.3k
Vincenzo Mollace 2.2k 0.8× 2.6k 1.1× 661 0.5× 648 0.5× 563 0.6× 259 8.4k
Rosanna Di Paola 2.2k 0.8× 5.2k 2.2× 2.3k 1.8× 885 0.7× 1.2k 1.3× 401 15.2k
George E. Barreto 2.8k 1.0× 4.2k 1.8× 1.1k 0.8× 1.6k 1.3× 2.2k 2.3× 299 11.7k
Nady Braidy 2.2k 0.8× 3.1k 1.3× 948 0.8× 622 0.5× 1.2k 1.2× 169 9.1k
Jürgen Schnermann 3.0k 1.1× 5.2k 2.3× 1.3k 1.1× 923 0.8× 697 0.7× 228 13.6k

Countries citing papers authored by Nirmal Singh

Since Specialization
Citations

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

Fields of papers citing papers by Nirmal Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nirmal Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Nirmal Singh. A scholar is included among the top collaborators of Nirmal 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 Nirmal Singh. Nirmal 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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