Nidhi Mishra
- Organic Chemistry top 1%
- Molecular Biology top 10%
- Materials Chemistry
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 5%
- Co-authors
- Vinod K. TiwariAnoop SinghKunj B. MishraBhuwan B. MishraXi ChenAnand K. AgrahariSatish Kumar AwasthiVirendra K. Bhasin
- Topics
- Computational Drug Discovery Methods (18 papers)Synthesis and biological activity (13 papers)Click Chemistry and Applications (11 papers)
- Journals
- Chemical ReviewsSHILAP Revista de lepidopterologíaBlood
- Partner nations
- IndiaUnited StatesSingapore
In The Last Decade
Nidhi Mishra
138 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 169
- Organic Chemistry 1.5k
- Molecular Biology 913
- Materials Chemistry 268
- Artificial Intelligence 254
- Computational Theory and Mathematics 180
Countries citing papers authored by Nidhi Mishra
This map shows the geographic impact of Nidhi Mishra'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 Nidhi Mishra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nidhi Mishra more than expected).
Fields of papers citing papers by Nidhi Mishra
This network shows the impact of papers produced by Nidhi Mishra. 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 Nidhi Mishra. The network helps show where Nidhi Mishra may publish in the future.
Co-authorship network of co-authors of Nidhi Mishra
This figure shows the co-authorship network connecting the top 25 collaborators of Nidhi Mishra. A scholar is included among the top collaborators of Nidhi Mishra 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 Nidhi Mishra. Nidhi Mishra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 5 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 47 | |
| 7 | 6 | |
| 8 | 1 | |
| 9 | 11 | |
| 10 | 5 | |
| 11 | 3 | |
| 12 | 4 | |
| 13 | 1 | |
| 14 | 13 | |
| 15 | 7 | |
| 16 | 1 | |
| 17 | 56 | |
| 18 | Phytomedicinal uses of saponin containing herbs | 2 |
| 19 | Neurological studies of novel compounds from Swertia chirayita. | 3 |
| 20 | Genetic markers - a cutting-edge technology in herbal drug research. | 24 |
About Nidhi Mishra
Nidhi Mishra is a scholar working on Complementary and alternative medicine, Organic Chemistry and Toxicology, having authored 151 papers that have together received 2.8k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (18 papers), Synthesis and biological activity (13 papers) and Click Chemistry and Applications (11 papers). The work is most often cited by research in Organic Chemistry (1.5k citations), Health Information Management (74 citations) and Molecular Biology (913 citations). Nidhi Mishra has collaborated with scholars based in India, United States and Singapore. Frequent co-authors include Vinod K. Tiwari, Anoop Singh, Kunj B. Mishra, Bhuwan B. Mishra, Xi Chen, Anand K. Agrahari, Satish Kumar Awasthi, Virendra K. Bhasin, Manoj K. Jaiswal and Priyanka Bose. Their work appears in journals such as Chemical Reviews, SHILAP Revista de lepidopterología and Blood.
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.