Neeraj Agarwal
- Infectious Diseases
- Public Health, Environmental and Occupational Health
- Epidemiology
- Endocrinology, Diabetes and Metabolism
- Nutrition and Dietetics
- Co-authors
- Bijit BiswasMunesh SharmaJasbinder KaurGagandeep SinghChandramani SinghDeependra KumarPragya KumarDevajyoti Deka
- Topics
- COVID-19 epidemiological studies (12 papers)COVID-19 Clinical Research Studies (5 papers)SARS-CoV-2 and COVID-19 Research (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaBMC Women s HealthDiabetology & Metabolic Syndrome
- Partner nations
- IndiaUnited KingdomChina
In The Last Decade
Neeraj Agarwal
35 papers receiving 269 citations
Peers
Comparison fields: 5 of 86
- Infectious Diseases 107
- Public Health, Environmental and Occupational Health 64
- Epidemiology 53
- Endocrinology, Diabetes and Metabolism 52
- Nutrition and Dietetics 42
Countries citing papers authored by Neeraj Agarwal
This map shows the geographic impact of Neeraj Agarwal'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 Agarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neeraj Agarwal more than expected).
Fields of papers citing papers by Neeraj Agarwal
This network shows the impact of papers produced by Neeraj Agarwal. 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 Agarwal. The network helps show where Neeraj Agarwal may publish in the future.
Co-authorship network of co-authors of Neeraj Agarwal
This figure shows the co-authorship network connecting the top 25 collaborators of Neeraj Agarwal. A scholar is included among the top collaborators of Neeraj Agarwal 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 Agarwal. Neeraj Agarwal 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 | 0 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 9 | |
| 7 | 0 | |
| 8 | 6 | |
| 9 | 2 | |
| 10 | 46 | |
| 11 | 13 | |
| 12 | 6 | |
| 13 | 4 | |
| 14 | 12 | |
| 15 | 17 | |
| 16 | A study of Knowledge, Attitude, Behaviour and Practice (KABP) among the attendees of the Integrated Counselling and Testing Centre of Tertiary Care Hospital of Bihar, India | 1 |
| 17 | 39 | |
| 18 | B2B Advertising in an Emerging Economy: Rational vs. Emotional Appeals, and Gender Stereotypes | 1 |
| 19 | 58 | |
| 20 | 8 |
About Neeraj Agarwal
Neeraj Agarwal is a scholar working on Modeling and Simulation, Infectious Diseases and Applied Microbiology and Biotechnology, having authored 40 papers that have together received 288 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (12 papers), COVID-19 Clinical Research Studies (5 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). The work is most often cited by research in Infectious Diseases (107 citations), Modeling and Simulation (15 citations) and Endocrinology, Diabetes and Metabolism (52 citations). Neeraj Agarwal has collaborated with scholars based in India, United Kingdom and China. Frequent co-authors include Bijit Biswas, Munesh Sharma, Jasbinder Kaur, Gagandeep Singh, Chandramani Singh, Deependra Kumar, Pragya Kumar, Devajyoti Deka, D. Takkar and Vani Sethi. Their work appears in journals such as SHILAP Revista de lepidopterología, BMC Women s Health and Diabetology & Metabolic Syndrome.
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.