Neeraj Agrawal
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 5%
- Epidemiology
- Surgery
- Public Health, Environmental and Occupational Health top 10%
- Co-authors
- Kiran SinghKanhaiya SinghSanjeev GuptaRituparna MaitiBalram SharmaDebabrata DashSameer TrivediDeepika Jaiswal
- Topics
- Reproductive Biology and Fertility (7 papers)Wound Healing and Treatments (6 papers)Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaGastroenterologyGene
- Partner nations
- IndiaUnited StatesNetherlands
In The Last Decade
Neeraj Agrawal
95 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 143
- Molecular Biology 321
- Endocrinology, Diabetes and Metabolism 300
- Epidemiology 177
- Surgery 152
- Public Health, Environmental and Occupational Health 146
Countries citing papers authored by Neeraj Agrawal
This map shows the geographic impact of Neeraj Agrawal'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 Agrawal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neeraj Agrawal more than expected).
Fields of papers citing papers by Neeraj Agrawal
This network shows the impact of papers produced by Neeraj Agrawal. 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 Agrawal. The network helps show where Neeraj Agrawal may publish in the future.
Co-authorship network of co-authors of Neeraj Agrawal
This figure shows the co-authorship network connecting the top 25 collaborators of Neeraj Agrawal. A scholar is included among the top collaborators of Neeraj Agrawal 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 Agrawal. Neeraj Agrawal 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 | 5 | |
| 3 | Quality of life using WHOQOL-BREF of Patients with Type 2 Diabetes mellitus attending a Primary Health Centre of Patna, India | 3 |
| 4 | Efficacy of some newer insecticides against mustard aphid Lipaphis erysimi Kalt. in cauliflower | 4 |
| 5 | 12 | |
| 6 | 2 | |
| 7 | 7 | |
| 8 | 1 | |
| 9 | 9 | |
| 10 | 54 | |
| 11 | 30 | |
| 12 | 148 | |
| 13 | The effect of Lisinopril on blood glucose level given alone and in combination with oral anti-diabetic drugs in alloxan-induced diabetic rats | 2 |
| 14 | 13 | |
| 15 | 22 | |
| 16 | 3 | |
| 17 | 3 | |
| 18 | A Comparative Study of Diane‐35 plus Spironolactone and Diane ‐35 Plus Finasteride in Cases of Hirsutism and Acne | 4 |
| 19 | 49 | |
| 20 | 0 |
About Neeraj Agrawal
Neeraj Agrawal is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine and Periodontics, having authored 104 papers that have together received 1.3k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (7 papers), Wound Healing and Treatments (6 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (6 papers). The work is most often cited by research in Rehabilitation (134 citations), Endocrinology, Diabetes and Metabolism (300 citations) and Reproductive Medicine (112 citations). Neeraj Agrawal has collaborated with scholars based in India, United States and Netherlands. Frequent co-authors include Kiran Singh, Kanhaiya Singh, Sanjeev Gupta, Rituparna Maiti, Balram Sharma, Debabrata Dash, Sameer Trivedi, Deepika Jaiswal, Pratima Sinha and Vijay P. Singh. Their work appears in journals such as SHILAP Revista de lepidopterología, Gastroenterology and Gene.
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.