Nayanah Siva
- Molecular Biology
- Genetics top 10%
- Clinical Psychology
- Public Health, Environmental and Occupational Health
- Plant Science
- Co-authors
- Harald SteinSusan L. KalledEllis L. ReinherzK. MuthuchelianLeslie LewisBaby S NayakJudith Angelitta NoronhaR. Ravi Shankar
- Topics
- Infant Development and Preterm Care (11 papers)Neonatal Respiratory Health Research (6 papers)Family and Patient Care in Intensive Care Units (5 papers)
- Partner nations
- IndiaUnited KingdomUnited States
In The Last Decade
Nayanah Siva
56 papers receiving 753 citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Molecular Biology 302
- Genetics 231
- Clinical Psychology 63
- Public Health, Environmental and Occupational Health 60
- Plant Science 60
Countries citing papers authored by Nayanah Siva
This map shows the geographic impact of Nayanah Siva'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 Nayanah Siva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nayanah Siva more than expected).
Fields of papers citing papers by Nayanah Siva
This network shows the impact of papers produced by Nayanah Siva. 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 Nayanah Siva. The network helps show where Nayanah Siva may publish in the future.
Co-authorship network of co-authors of Nayanah Siva
This figure shows the co-authorship network connecting the top 25 collaborators of Nayanah Siva. A scholar is included among the top collaborators of Nayanah Siva 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 Nayanah Siva. Nayanah Siva 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 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 7 | |
| 14 | 9 | |
| 15 | 1 | |
| 16 | Global Research Publications on Hepatitis C from SCOPUS Database (2009-2018): A Scientometric Study | 1 |
| 17 | 1 | |
| 18 | 3 | |
| 19 | Floristic Inventory and Quantitative Vegetation Analysis of Tropical Dry Deciduous Forest in Piranmalai Forest, Eastern Ghats, Tamil Nadu, India | 15 |
| 20 | 18 |
About Nayanah Siva
Nayanah Siva is a scholar working on Radiological and Ultrasound Technology, Pediatrics, Perinatology and Child Health and General Health Professions, having authored 73 papers that have together received 778 indexed citations. Recurring topics across this work include Infant Development and Preterm Care (11 papers), Neonatal Respiratory Health Research (6 papers) and Family and Patient Care in Intensive Care Units (5 papers). The work is most often cited by research in Genetics (231 citations), Molecular Biology (302 citations) and Cancer Research (59 citations). Nayanah Siva has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Harald Stein, Susan L. Kalled, Ellis L. Reinherz, K. Muthuchelian, Leslie Lewis, Baby S Nayak, Judith Angelitta Noronha, R. Ravi Shankar, Shruthi K. Bharadwaj and K.E. Vandana. Their work appears in journals such as The Lancet, Nature Medicine and Nature Biotechnology.
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.