Ashish Khanna
- Molecular Biology
- Organic Chemistry top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Surgery
- Pharmacology
- Co-authors
- Ram SagarGhanshyam TiwariVinay Kumar MishraBarry KoplowitzChintam NarayanaJean M. WhaleyMing YaoMei Zhu
- Topics
- Carbohydrate Chemistry and Synthesis (10 papers)Synthesis and biological activity (7 papers)Synthesis and Biological Evaluation (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsJournal of Medicinal Chemistry
- Partner nations
- IndiaUnited StatesGermany
In The Last Decade
Ashish Khanna
37 papers receiving 645 citations
Peers
Comparison fields: 5 of 109
- Molecular Biology 237
- Organic Chemistry 164
- Endocrinology, Diabetes and Metabolism 123
- Surgery 94
- Pharmacology 61
Countries citing papers authored by Ashish Khanna
This map shows the geographic impact of Ashish Khanna'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 Ashish Khanna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashish Khanna more than expected).
Fields of papers citing papers by Ashish Khanna
This network shows the impact of papers produced by Ashish Khanna. 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 Ashish Khanna. The network helps show where Ashish Khanna may publish in the future.
Co-authorship network of co-authors of Ashish Khanna
This figure shows the co-authorship network connecting the top 25 collaborators of Ashish Khanna. A scholar is included among the top collaborators of Ashish Khanna 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 Ashish Khanna. Ashish Khanna 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 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 12 | |
| 7 | 5 | |
| 8 | 11 | |
| 9 | 24 | |
| 10 | 49 | |
| 11 | 28 | |
| 12 | 4 | |
| 13 | 1 | |
| 14 | Comparison of conventional Ziehl Neelsen staining with LED Fluorescent staining for pulmonary tuberculosis cases | 1 |
| 15 | 23 | |
| 16 | 2 | |
| 17 | 13 | |
| 18 | Molecular validation for blast and sheath blight resistance in improved rice genotypes and landraces | 1 |
| 19 | 11 | |
| 20 | 145 |
About Ashish Khanna
Ashish Khanna is a scholar working on Toxicology, Applied Microbiology and Biotechnology and Organic Chemistry, having authored 39 papers that have together received 662 indexed citations. Recurring topics across this work include Carbohydrate Chemistry and Synthesis (10 papers), Synthesis and biological activity (7 papers) and Synthesis and Biological Evaluation (5 papers). The work is most often cited by research in Endocrine and Autonomic Systems (54 citations), Endocrinology, Diabetes and Metabolism (123 citations) and Molecular Medicine (31 citations). Ashish Khanna has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Ram Sagar, Ghanshyam Tiwari, Vinay Kumar Mishra, Barry Koplowitz, Chintam Narayana, Jean M. Whaley, Ming Yao, Mei Zhu, Wei Li and Wei Meng. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of 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.