Nitu Kumari
- Public Health, Environmental and Occupational Health top 10%
- Genetics
- Virology top 5%
- Modeling and Simulation top 2%
- Molecular Biology
- Co-authors
- Olumuyiwa James PeterFestus Abiodun OguntoluMusa RabiuKayode OshinubiSandeep SharmaKrishna Pada DasAbdullahi YusufMayowa M. Ojo
- Topics
- Mathematical and Theoretical Epidemiology and Ecology Models (24 papers)Evolution and Genetic Dynamics (16 papers)COVID-19 epidemiological studies (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsMolecules
- Partner nations
- IndiaUnited StatesAlgeria
In The Last Decade
Nitu Kumari
32 papers receiving 463 citations
Hit Papers
Peers
Comparison fields: 5 of 76
- Public Health, Environmental and Occupational Health 244
- Genetics 164
- Virology 157
- Modeling and Simulation 131
- Molecular Biology 89
Countries citing papers authored by Nitu Kumari
This map shows the geographic impact of Nitu Kumari'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 Nitu Kumari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nitu Kumari more than expected).
Fields of papers citing papers by Nitu Kumari
This network shows the impact of papers produced by Nitu Kumari. 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 Nitu Kumari. The network helps show where Nitu Kumari may publish in the future.
Co-authorship network of co-authors of Nitu Kumari
This figure shows the co-authorship network connecting the top 25 collaborators of Nitu Kumari. A scholar is included among the top collaborators of Nitu Kumari 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 Nitu Kumari. Nitu Kumari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 11 | |
| 10 | 3 | |
| 11 | 2 | |
| 12 | Transmission dynamics of Monkeypox virus: a mathematical modelling approachbreakdown → | 191 |
| 13 | 3 | |
| 14 | 5 | |
| 15 | A study of chaos and its possible control in an eco-epidemiological model with alternative food source in predator and weak allee effect in prey species | 0 |
| 16 | 21 | |
| 17 | 2 | |
| 18 | 10 | |
| 19 | 11 | |
| 20 | 30 |
About Nitu Kumari
Nitu Kumari is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Genetics, having authored 40 papers that have together received 478 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (24 papers), Evolution and Genetic Dynamics (16 papers) and COVID-19 epidemiological studies (9 papers). The work is most often cited by research in Virology (157 citations), Modeling and Simulation (131 citations) and Public Health, Environmental and Occupational Health (244 citations). Nitu Kumari has collaborated with scholars based in India, United States and Algeria. Frequent co-authors include Olumuyiwa James Peter, Festus Abiodun Oguntolu, Musa Rabiu, Kayode Oshinubi, Sandeep Sharma, Krishna Pada Das, Abdullahi Yusuf, Mayowa M. Ojo, Ravi P. Agarwal and Neeraj Kumar Sethiya. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Molecules.
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.