Digambar Kumar Waiker
- Pharmacology top 5%
- Computational Theory and Mathematics top 5%
- Organic Chemistry
- Molecular Biology
- Physiology
- Co-authors
- Sushant K. ShrivastavaChandrabose KarthikeyanPiyush TrivediN. S. Hari Narayana MoorthyArvind Kumar JainPrabhash Nath TripathiManish TripathiAvanish Tripathi
- Topics
- Cholinesterase and Neurodegenerative Diseases (14 papers)Computational Drug Discovery Methods (12 papers)Alzheimer's disease research and treatments (7 papers)
- Partner nations
- IndiaUnited StatesUnited Arab Emirates
In The Last Decade
Digambar Kumar Waiker
19 papers receiving 362 citations
Peers
Comparison fields: 5 of 63
- Pharmacology 192
- Computational Theory and Mathematics 141
- Organic Chemistry 132
- Molecular Biology 116
- Physiology 71
Countries citing papers authored by Digambar Kumar Waiker
This map shows the geographic impact of Digambar Kumar Waiker'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 Digambar Kumar Waiker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Digambar Kumar Waiker more than expected).
Fields of papers citing papers by Digambar Kumar Waiker
This network shows the impact of papers produced by Digambar Kumar Waiker. 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 Digambar Kumar Waiker. The network helps show where Digambar Kumar Waiker may publish in the future.
Co-authorship network of co-authors of Digambar Kumar Waiker
This figure shows the co-authorship network connecting the top 25 collaborators of Digambar Kumar Waiker. A scholar is included among the top collaborators of Digambar Kumar Waiker 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 Digambar Kumar Waiker. Digambar Kumar Waiker 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 | 3 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 7 | |
| 6 | 8 | |
| 7 | 12 | |
| 8 | 18 | |
| 9 | 15 | |
| 10 | 22 | |
| 11 | 16 | |
| 12 | 22 | |
| 13 | 13 | |
| 14 | 3 | |
| 15 | 35 | |
| 16 | 8 | |
| 17 | 48 | |
| 18 | 10 | |
| 19 | 14 | |
| 20 | 79 |
About Digambar Kumar Waiker
Digambar Kumar Waiker is a scholar working on Pharmacology, Computational Theory and Mathematics and Biological Psychiatry, having authored 21 papers that have together received 362 indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (14 papers), Computational Drug Discovery Methods (12 papers) and Alzheimer's disease research and treatments (7 papers). The work is most often cited by research in Pharmacology (192 citations), Computational Theory and Mathematics (141 citations) and Organic Chemistry (132 citations). Digambar Kumar Waiker has collaborated with scholars based in India, United States and United Arab Emirates. Frequent co-authors include Sushant K. Shrivastava, Chandrabose Karthikeyan, Piyush Trivedi, N. S. Hari Narayana Moorthy, Arvind Kumar Jain, Prabhash Nath Tripathi, Manish Tripathi, Avanish Tripathi, Surendra Kumar Trigun and Sairam Krishnamurthy. Their work appears in journals such as Molecules, European Journal of Medicinal Chemistry and Bioorganic & Medicinal Chemistry.
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.