Ram Naresh
- Health, Toxicology and Mutagenesis top 5%
- Public Health, Environmental and Occupational Health top 5%
- Modeling and Simulation top 1%
- Pollution top 5%
- Genetics
- Co-authors
- Agraj TripathiD. SwarupR.C. PatraPuneet KumarDileep SharmaDilip Kumar NandiD.J. HampsonShafaqat Ali
- Topics
- Mathematical and Theoretical Epidemiology and Ecology Models (14 papers)COVID-19 epidemiological studies (8 papers)Heavy Metal Exposure and Toxicity (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEThe Science of The Total Environment
- Partner nations
- IndiaAustraliaUnited States
In The Last Decade
Ram Naresh
40 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 124
- Health, Toxicology and Mutagenesis 324
- Public Health, Environmental and Occupational Health 322
- Modeling and Simulation 254
- Pollution 246
- Genetics 130
Countries citing papers authored by Ram Naresh
This map shows the geographic impact of Ram Naresh'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 Ram Naresh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ram Naresh more than expected).
Fields of papers citing papers by Ram Naresh
This network shows the impact of papers produced by Ram Naresh. 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 Ram Naresh. The network helps show where Ram Naresh may publish in the future.
Co-authorship network of co-authors of Ram Naresh
This figure shows the co-authorship network connecting the top 25 collaborators of Ram Naresh. A scholar is included among the top collaborators of Ram Naresh 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 Ram Naresh. Ram Naresh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 5 | |
| 5 | 55 | |
| 6 | Modeling and analysis of the survival of a biological species in a polluted environment: Effect of environmental tax | 4 |
| 7 | Modeling the Effect of Environmental Factors on the Spread of Bacterial Disease in an Economically Structured Population | 4 |
| 8 | Quality assessment of ground water in PMDE treated farm land for drinking purpose. | 2 |
| 9 | 3 | |
| 10 | 26 | |
| 11 | 60 | |
| 12 | 122 | |
| 13 | 69 | |
| 14 | 69 | |
| 15 | 68 | |
| 16 | 72 | |
| 17 | 36 | |
| 18 | 34 | |
| 19 | 57 | |
| 20 | Essential trace minerals in milk of cows with mastitis | 1 |
About Ram Naresh
Ram Naresh is a scholar working on Modeling and Simulation, Small Animals and Health, Toxicology and Mutagenesis, having authored 41 papers that have together received 1.2k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (14 papers), COVID-19 epidemiological studies (8 papers) and Heavy Metal Exposure and Toxicity (7 papers). The work is most often cited by research in Modeling and Simulation (254 citations), Health, Toxicology and Mutagenesis (324 citations) and Pollution (246 citations). Ram Naresh has collaborated with scholars based in India, Australia and United States. Frequent co-authors include Agraj Tripathi, D. Swarup, R.C. Patra, Puneet Kumar, Dileep Sharma, Dilip Kumar Nandi, D.J. Hampson, Shafaqat Ali, J. P. Varshney and Surabhi Pandey. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.
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.