Arvind Singh
Impact in
- Otorhinolaryngology top 0.5%
- Ear Surgery and Otitis Media
- Head and Neck Cancer Studies
- Anesthesiology and Pain Medicine top 10%
Papers in
-
- Ear Surgery and Otitis Media 21
- Surgery 19
- Surgical Simulation and Training 9
- Co-authors
- Ravi Kumar Lingam (17 shared papers)Ali Kalan (8 shared papers)S. Khemani (10 shared papers)Robert T. Nash (12 shared papers)Lord Ara Darzi (6 shared papers)Neil Tolley (7 shared papers)Asit Arora (5 shared papers)Guri S. Sandhu (2 shared papers)
- Journals
- The Journal of Laryngology & Otology (10 papers)Clinical Otolaryngology (7 papers)Otolaryngology (5 papers)Otology & Neurotology (4 papers)European Archives of Oto-Rhino-Laryngology (3 papers)
- Partner nations
- United KingdomUnited StatesIndia
In The Last Decade
Arvind Singh
58 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 109
- Otorhinolaryngology 504
- Anesthesiology and Pain Medicine 52
- Physiology 245
- Surgery 394
- Endocrine and Autonomic Systems 42
Countries citing papers authored by Arvind Singh
This map shows the geographic impact of Arvind 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 Arvind Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arvind Singh more than expected).
Fields of papers citing papers by Arvind Singh
This network shows the impact of papers produced by Arvind 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 Arvind Singh. The network helps show where Arvind Singh may publish in the future.
Co-authors
The 25 scholars most cited alongside Arvind Singh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 85 | |
| 2 | 2006 | 75 | |
| 3 | 1972 | 70 | |
| 4 | 2012 | 67 | |
| 5 | 2013 | 65 | |
| 6 | 2011 | 64 | |
| 7 | 2010 | 61 | |
| 8 | 2006 | 58 | |
| 9 | 2008 | 54 | |
| 10 | 2011 | 54 | |
| 11 | 2011 | 53 | |
| 12 | 2016 | 53 | |
| 13 | 2010 | 53 | |
| 14 | 2013 | 52 | |
| 15 | 2012 | 46 | |
| 16 | 2013 | 43 | |
| 17 | 2014 | 31 | |
| 18 | 2008 | 28 | |
| 19 | 2015 | 28 | |
| 20 | 2009 | 27 |
About Arvind Singh
Arvind Singh is a scholar working on Otorhinolaryngology, Surgery, Oncology, Pulmonary and Respiratory Medicine and Physiology, having authored 58 papers that have together received 1.4k indexed citations. Recurring topics across this work include Ear Surgery and Otitis Media (21 papers), Surgical Simulation and Training (9 papers), Tracheal and airway disorders (5 papers), Ear and Head Tumors (5 papers), Meningioma and schwannoma management (4 papers), Voice and Speech Disorders (3 papers), Estrogen and related hormone effects (2 papers) and Cancer Diagnosis and Treatment (2 papers). The work is most often cited by research in Otorhinolaryngology (504 citations), Anesthesiology and Pain Medicine (52 citations), Physiology (245 citations), Surgery (394 citations) and Endocrine and Autonomic Systems (42 citations). Arvind Singh has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include Ravi Kumar Lingam, Ali Kalan, S. Khemani, Robert T. Nash, Lord Ara Darzi, Neil Tolley, Asit Arora, Guri S. Sandhu, David John Howard and S.A.R. Nouraei. Their work appears in journals such as The Journal of Laryngology & Otology, Clinical Otolaryngology, Otolaryngology, Otology & Neurotology and European Archives of Oto-Rhino-Laryngology.
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.