Subhash K. Khanna
- Plant Science top 5%
- Molecular Biology
- Analytical Chemistry top 1%
- Pharmacology top 5%
- Nutrition and Dietetics top 5%
- Co-authors
- Mukul DasS. RastogiSumita DixitPremendra D. DwivediK.K. UpretiKausar M. AnsariAlok DhawanG.G. Sanwal
- Topics
- Dye analysis and toxicity (21 papers)Carcinogens and Genotoxicity Assessment (12 papers)Biochemical Analysis and Sensing Techniques (10 papers)
- Cited by
- Analytical ChemistryPharmacology
- Partner nations
- IndiaUnited Kingdom
In The Last Decade
Subhash K. Khanna
86 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 120
- Plant Science 498
- Molecular Biology 442
- Analytical Chemistry 413
- Pharmacology 275
- Nutrition and Dietetics 237
Countries citing papers authored by Subhash K. Khanna
This map shows the geographic impact of Subhash K. 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 Subhash K. Khanna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subhash K. Khanna more than expected).
Fields of papers citing papers by Subhash K. Khanna
This network shows the impact of papers produced by Subhash K. 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 Subhash K. Khanna. The network helps show where Subhash K. Khanna may publish in the future.
Co-authorship network of co-authors of Subhash K. Khanna
This figure shows the co-authorship network connecting the top 25 collaborators of Subhash K. Khanna. A scholar is included among the top collaborators of Subhash K. 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 Subhash K. Khanna. Subhash K. 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 | 43 | |
| 2 | 29 | |
| 3 | 48 | |
| 4 | 38 | |
| 5 | 12 | |
| 6 | 5 | |
| 7 | 29 | |
| 8 | 10 | |
| 9 | 9 | |
| 10 | 25 | |
| 11 | 4 | |
| 12 | 7 | |
| 13 | 6 | |
| 14 | 7 | |
| 15 | 37 | |
| 16 | 3 | |
| 17 | 36 | |
| 18 | Fractionation and Characterization of Sesame ( Sesamum indicum L. ) Protein | 3 |
| 19 | A Comparative Study on the Pattern and Magnitude of Adulteration of Foodstuffs during Two Decennial Survey Terms | 5 |
| 20 | Metanil yellow & gastric mucin. | 9 |
About Subhash K. Khanna
Subhash K. Khanna is a scholar working on Analytical Chemistry, Pharmacology and Nutrition and Dietetics, having authored 87 papers that have together received 1.7k indexed citations. Recurring topics across this work include Dye analysis and toxicity (21 papers), Carcinogens and Genotoxicity Assessment (12 papers) and Biochemical Analysis and Sensing Techniques (10 papers). The work is most often cited by research in Analytical Chemistry (413 citations), Pharmacology (195 citations) and Pharmacology (275 citations). Subhash K. Khanna has collaborated with scholars based in India and United Kingdom. Frequent co-authors include Mukul Das, S. Rastogi, Sumita Dixit, Premendra D. Dwivedi, K.K. Upreti, Kausar M. Ansari, Alok Dhawan, G.G. Sanwal, P. S. Krishnan and L.P. Srivastava. Their work appears in journals such as Analytical Biochemistry, Biochemical and Biophysical Research Communications and FEBS Letters.
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.