Neeraj Singh

127 total papers · 745 total citations
60 papers, 476 citations indexed

About

Neeraj Singh is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Neeraj Singh has authored 60 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Surgery, 12 papers in Pulmonary and Respiratory Medicine and 10 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Neeraj Singh's work include Renal Transplantation Outcomes and Treatments (7 papers), Organ Transplantation Techniques and Outcomes (5 papers) and Renal and Vascular Pathologies (3 papers). Neeraj Singh is often cited by papers focused on Renal Transplantation Outcomes and Treatments (7 papers), Organ Transplantation Techniques and Outcomes (5 papers) and Renal and Vascular Pathologies (3 papers). Neeraj Singh collaborates with scholars based in United States, India and Australia. Neeraj Singh's co-authors include Rocco C. Venuto, Pradeep Arora, Anil Agarwal, Marilyn E. Levi, Todd E. Pesavento, Tibor Nádasdy, Kenneth A. Andreoni, Uday Nori, Mohammad Kazem Fallahzadeh and Gaurav Bharadwaj and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Neeraj Singh

54 papers receiving 455 citations

Author Peers

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

Author Last Decade Papers Cites
Neeraj Singh 92 90 76 74 71 60 476
José Gerardo Oliveira 105 1.1× 130 1.4× 55 0.7× 153 2.1× 51 0.7× 49 476
Susana Machado 95 1.0× 85 0.9× 38 0.5× 83 1.1× 86 1.2× 63 440
A Barbari 123 1.3× 144 1.6× 51 0.7× 175 2.4× 39 0.5× 60 521
Fatma Moustafa 188 2.0× 81 0.9× 86 1.1× 58 0.8× 82 1.2× 53 505
Berna Yelken 163 1.8× 107 1.2× 29 0.4× 120 1.6× 70 1.0× 42 496
G. P. Segoloni 152 1.7× 74 0.8× 140 1.8× 47 0.6× 28 0.4× 37 463
Gagnadoux Mf 201 2.2× 71 0.8× 68 0.9× 113 1.5× 63 0.9× 42 480
Ramazan Çetinkaya 138 1.5× 87 1.0× 102 1.3× 19 0.3× 40 0.6× 65 487
J.M. Chalopin 93 1.0× 110 1.2× 29 0.4× 139 1.9× 46 0.6× 28 491
José Hermógenes Rocco Suassuna 148 1.6× 75 0.8× 39 0.5× 26 0.4× 54 0.8× 44 422

Countries citing papers authored by Neeraj Singh

Since Specialization
Citations

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

Fields of papers citing papers by Neeraj Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neeraj Singh

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