Nitish Rai
Impact in
- Ophthalmology top 10%
Papers in
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- Natural product bioactivities and synthesis 3
- Glycosylation and Glycoproteins Research 2
- Ubiquitin and proteasome pathways 2
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- Melamine detection and toxicity 4
- Co-authors
- Sharmistha Dey (12 shared papers)Meenakshi Bajpai (1 shared paper)Rahul Kumar (7 shared papers)Shashank Shekhar (5 shared papers)Ashish Datt Upadhyay (4 shared papers)Sadanand Dwivedi (4 shared papers)Aparajit Ballav Dey (4 shared papers)Pratibha Sharma (2 shared papers)
In The Last Decade
Nitish Rai
42 papers receiving 580 citations
Peers
Comparison fields: 5 of 109
- Geriatrics and Gerontology 14
- Ophthalmology 24
- Water Science and Technology 40
- Small Animals 18
- Molecular Biology 163
Countries citing papers authored by Nitish Rai
This map shows the geographic impact of Nitish Rai'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 Nitish Rai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nitish Rai more than expected).
Fields of papers citing papers by Nitish Rai
This network shows the impact of papers produced by Nitish Rai. 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 Nitish Rai. The network helps show where Nitish Rai may publish in the future.
Co-authors
The 25 scholars most cited alongside Nitish Rai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 69 | |
| 2 | 2016 | 60 | |
| 3 | 2022 | 41 | |
| 4 | 1998 | 32 | |
| 5 | 2016 | 29 | |
| 6 | 2016 | 29 | |
| 7 | 2023 | 27 | |
| 8 | 2021 | 27 | |
| 9 | 2013 | 26 | |
| 10 | 1995 | 22 | |
| 11 | 2020 | 22 | |
| 12 | 2019 | 21 | |
| 13 | 2018 | 21 | |
| 14 | 2020 | 19 | |
| 15 | 2017 | 19 | |
| 16 | Genetic parameters study for yield and quality traits in tomato. | 2008 | 18 |
| 17 | 2017 | 16 | |
| 18 | 2016 | 14 | |
| 19 | Combining ability and gene action studies for fruit yield and yield contributing traits in brinjal | 2011 | 10 |
| 20 | Correlation, path and cluster analysis in hyacinth bean (Lablab purpureus L. Sweet). | 2011 | 10 |
About Nitish Rai
Nitish Rai is a scholar working on Molecular Biology, Food Science, Plant Science, Physiology and Cardiology and Cardiovascular Medicine, having authored 48 papers that have together received 607 indexed citations. Recurring topics across this work include Melamine detection and toxicity (4 papers), Perovskite Materials and Applications (4 papers), Cardiac tumors and thrombi (3 papers), Phytochemistry and Biological Activities (3 papers), Alzheimer's disease research and treatments (3 papers), Natural product bioactivities and synthesis (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Geriatrics and Gerontology (14 citations), Ophthalmology (24 citations), Water Science and Technology (40 citations), Small Animals (18 citations) and Molecular Biology (163 citations). Nitish Rai has collaborated with scholars based in India, Nepal and Australia. Frequent co-authors include Sharmistha Dey, Meenakshi Bajpai, Rahul Kumar, Shashank Shekhar, Ashish Datt Upadhyay, Sadanand Dwivedi, Aparajit Ballav Dey, Pratibha Sharma, Dibyajyoti Banerjee and Manjari Tripathi. Their work appears in journals such as Molecular Neurobiology, Advanced Materials Technologies, Journal of Aging Research, Journal of Helminthology and Nutrition.
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.