Akhil Kant Singh
- Infectious Diseases top 10%
- Public Health, Environmental and Occupational Health
- Oncology
- Surgery
- Neurology
- Co-authors
- Puneet KhannaSoumya SarkarNidhi SharmaAnand KrishnanAnkit MaheshwariDebesh BhoiAmarjeet KumarDalim Kumar Baidya
- Topics
- COVID-19 Clinical Research Studies (6 papers)Intensive Care Unit Cognitive Disorders (5 papers)Respiratory Support and Mechanisms (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaAnesthesiologyJournal of Medical Virology
- Partner nations
- IndiaUnited StatesCanada
In The Last Decade
Akhil Kant Singh
23 papers receiving 393 citations
Peers
Comparison fields: 5 of 75
- Infectious Diseases 167
- Public Health, Environmental and Occupational Health 89
- Oncology 72
- Surgery 68
- Neurology 60
Countries citing papers authored by Akhil Kant Singh
This map shows the geographic impact of Akhil Kant 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 Akhil Kant Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akhil Kant Singh more than expected).
Fields of papers citing papers by Akhil Kant Singh
This network shows the impact of papers produced by Akhil Kant 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 Akhil Kant Singh. The network helps show where Akhil Kant Singh may publish in the future.
Co-authorship network of co-authors of Akhil Kant Singh
This figure shows the co-authorship network connecting the top 25 collaborators of Akhil Kant Singh. A scholar is included among the top collaborators of Akhil Kant 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 Akhil Kant Singh. Akhil Kant Singh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 10 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 4 | |
| 10 | 56 | |
| 11 | 35 | |
| 12 | 10 | |
| 13 | 2 | |
| 14 | 73 | |
| 15 | 1 | |
| 16 | 3 | |
| 17 | Narendra to Swami Vivekananda: A perspective | 0 |
| 18 | 18 | |
| 19 | 3 | |
| 20 | 106 |
About Akhil Kant Singh
Akhil Kant Singh is a scholar working on Critical Care and Intensive Care Medicine, Developmental Neuroscience and Applied Microbiology and Biotechnology, having authored 27 papers that have together received 406 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (6 papers), Intensive Care Unit Cognitive Disorders (5 papers) and Respiratory Support and Mechanisms (4 papers). The work is most often cited by research in Infectious Diseases (167 citations), Critical Care and Intensive Care Medicine (24 citations) and Neurology (60 citations). Akhil Kant Singh has collaborated with scholars based in India, United States and Canada. Frequent co-authors include Puneet Khanna, Soumya Sarkar, Nidhi Sharma, Anand Krishnan, Ankit Maheshwari, Debesh Bhoi, Amarjeet Kumar, Dalim Kumar Baidya, Souvik Maitra and Anjan Trikha. Their work appears in journals such as SHILAP Revista de lepidopterología, Anesthesiology and Journal of Medical Virology.
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.