A. C. JAIN
Impact in
- Software top 5%
- Software Reliability and Analysis Research
- Plant Science top 10%
Papers in
-
- Bioactive natural compounds 9
- Natural product bioactivities and synthesis 9
- Biological Activity of Diterpenoids and Biflavonoids 7
- Protein Structure and Dynamics 4
-
- Plant nutrient uptake and metabolism 4
- Co-authors
- Ruchika Malhotra (7 shared papers)Rajni Jindal (5 shared papers)Hema Srivastava (5 shared papers)T. R. Seshadri (11 shared papers)Nikolay V. Dokholyan (2 shared papers)Andrew L. Lee (2 shared papers)Dinakar M. Salunke (7 shared papers)Craig W. Gambogi (1 shared paper)
- Journals
- Tetrahedron (14 papers)Physiologia Plantarum (4 papers)Scientific Reports (3 papers)Chemistry Letters (2 papers)Tetrahedron Letters (2 papers)
- Partner nations
- IndiaUnited StatesNepal
In The Last Decade
A. C. JAIN
82 papers receiving 872 citations
Peers
Comparison fields: 5 of 126
- Software 65
- Plant Science 218
- Pharmacology 49
- Pharmacology 93
- Molecular Biology 371
Countries citing papers authored by A. C. JAIN
This map shows the geographic impact of A. C. JAIN'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 A. C. JAIN with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. C. JAIN more than expected).
Fields of papers citing papers by A. C. JAIN
This network shows the impact of papers produced by A. C. JAIN. 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 A. C. JAIN. The network helps show where A. C. JAIN may publish in the future.
Co-authors
The 25 scholars most cited alongside A. C. JAIN, 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 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 138 | |
| 2 | 2023 | 84 | |
| 3 | 1981 | 46 | |
| 4 | 1978 | 40 | |
| 5 | Techniques for text classification: Literature review and current trends | 2015 | 40 |
| 6 | 2007 | 38 | |
| 7 | 2016 | 34 | |
| 8 | 2016 | 26 | |
| 9 | 2014 | 25 | |
| 10 | 2016 | 19 | |
| 11 | 2006 | 19 | |
| 12 | 2020 | 18 | |
| 13 | Forbidden Magnification? II. | 2004 | 17 |
| 14 | 2017 | 15 | |
| 15 | 1955 | 15 | |
| 16 | 2018 | 14 | |
| 17 | 1981 | 14 | |
| 18 | 2023 | 14 | |
| 19 | 1973 | 13 | |
| 20 | 1965 | 13 |
About A. C. JAIN
A. C. JAIN is a scholar working on Molecular Biology, Plant Science, Pharmacology, Organic Chemistry and Information Systems, having authored 85 papers that have together received 927 indexed citations. Recurring topics across this work include Synthesis of Organic Compounds (17 papers), Bioactive natural compounds (9 papers), Natural product bioactivities and synthesis (9 papers), Software Engineering Research (8 papers), Biological Activity of Diterpenoids and Biflavonoids (7 papers), Software Reliability and Analysis Research (6 papers), Plant nutrient uptake and metabolism (4 papers) and Protein Structure and Dynamics (4 papers). The work is most often cited by research in Software (65 citations), Plant Science (218 citations), Pharmacology (49 citations), Pharmacology (93 citations) and Molecular Biology (371 citations). A. C. JAIN has collaborated with scholars based in India, United States and Nepal. Frequent co-authors include Ruchika Malhotra, Rajni Jindal, Hema Srivastava, T. R. Seshadri, Nikolay V. Dokholyan, Andrew L. Lee, Dinakar M. Salunke, Craig W. Gambogi, Jian Wang and Erzsébet Merényi. Their work appears in journals such as Tetrahedron, Physiologia Plantarum, Scientific Reports, Chemistry Letters and Tetrahedron 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.