Sanjay Pandey
- Health, Toxicology and Mutagenesis top 5%
- Pollution top 10%
- Plant Science
- Genetics top 10%
- Infectious Diseases
- Co-authors
- Ravindra KumarSatish K. SrivastavaShilpi SharmaN. S. NagpureM S VermaR. ShuklaSweta PandeyRenu Saxena
- Topics
- COVID-19 Clinical Research Studies (13 papers)Hemoglobinopathies and Related Disorders (10 papers)SARS-CoV-2 and COVID-19 Research (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEBMC Public Health
In The Last Decade
Sanjay Pandey
65 papers receiving 585 citations
Peers
Comparison fields: 5 of 120
- Health, Toxicology and Mutagenesis 229
- Pollution 110
- Plant Science 90
- Genetics 89
- Infectious Diseases 89
Countries citing papers authored by Sanjay Pandey
This map shows the geographic impact of Sanjay Pandey'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 Sanjay Pandey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanjay Pandey more than expected).
Fields of papers citing papers by Sanjay Pandey
This network shows the impact of papers produced by Sanjay Pandey. 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 Sanjay Pandey. The network helps show where Sanjay Pandey may publish in the future.
Co-authorship network of co-authors of Sanjay Pandey
This figure shows the co-authorship network connecting the top 25 collaborators of Sanjay Pandey. A scholar is included among the top collaborators of Sanjay Pandey 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 Sanjay Pandey. Sanjay Pandey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 4 | |
| 7 | 7 | |
| 8 | 20 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | Quality of life using WHOQOL-BREF of Patients with Type 2 Diabetes mellitus attending a Primary Health Centre of Patna, India | 3 |
| 12 | 10 | |
| 13 | Plant population structure and species diversity status at two disturbance regimes within mixed forests and sal forests of Gorakhpur, India. | 1 |
| 14 | 8 | |
| 15 | Homozygous hemoglobin D with alpha thalassemia: case report | 3 |
| 16 | 21 | |
| 17 | Use of comet assay for genotoxicity assessment in fishes from Gomti River | 5 |
| 18 | An evaluation of the business performance of fishery cooperative societies in Vasai Taluka of Thane District, Maharashtra | 3 |
| 19 | 66 | |
| 20 | Regeneration strategy and plant diversity status in degraded sal forests | 42 |
About Sanjay Pandey
Sanjay Pandey is a scholar working on Modeling and Simulation, Infectious Diseases and Hematology, having authored 76 papers that have together received 656 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (13 papers), Hemoglobinopathies and Related Disorders (10 papers) and SARS-CoV-2 and COVID-19 Research (9 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (229 citations), Pollution (110 citations) and Genetics (89 citations). Sanjay Pandey has collaborated with scholars based in India, Nepal and Spain. Frequent co-authors include Ravindra Kumar, Satish K. Srivastava, Shilpi Sharma, N. S. Nagpure, M S Verma, R. Shukla, Sweta Pandey, Renu Saxena, Alok Ranjan and Pragya Kumar. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and BMC Public Health.
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.