Neena Puri
- Biotechnology top 1%
- Plant Science top 5%
- Biomedical Engineering top 10%
- Molecular Biology
- Nutrition and Dietetics top 10%
- Co-authors
- Naveen GuptaPrakram Singh ChauhanPrince SharmaSonica SondhiNancy GeorgeNeha SharmaKanthi Kiran KondepudiVivek Kumar
- Topics
- Enzyme Production and Characterization (11 papers)Biofuel production and bioconversion (9 papers)Enzyme-mediated dye degradation (4 papers)
- Partner nations
- IndiaItalyUnited States
In The Last Decade
Neena Puri
17 papers receiving 877 citations
Peers
Comparison fields: 5 of 75
- Biotechnology 516
- Plant Science 469
- Biomedical Engineering 387
- Molecular Biology 273
- Nutrition and Dietetics 148
Countries citing papers authored by Neena Puri
This map shows the geographic impact of Neena Puri'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 Neena Puri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neena Puri more than expected).
Fields of papers citing papers by Neena Puri
This network shows the impact of papers produced by Neena Puri. 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 Neena Puri. The network helps show where Neena Puri may publish in the future.
Co-authorship network of co-authors of Neena Puri
This figure shows the co-authorship network connecting the top 25 collaborators of Neena Puri. A scholar is included among the top collaborators of Neena Puri 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 Neena Puri. Neena Puri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 10 | |
| 3 | 0 | |
| 4 | 20 | |
| 5 | 84 | |
| 6 | 50 | |
| 7 | 16 | |
| 8 | 29 | |
| 9 | AN OVERVIEW OF PURIFICATION STRATEGIES FOR MICROBIAL MANNANASES | 19 |
| 10 | STATISTICAL OPTIMIZATION OF PROCESS PARAMETERS FOR PRODUCTION OF ALKALINE PROTEASE FROM VIBRIO METSCHNIKOVII NG155 HAVING APPLICATION IN LEATHER INDUSTRY | 11 |
| 11 | 28 | |
| 12 | 151 | |
| 13 | 114 | |
| 14 | Optimization of medium composition for alkali-thermostable mannanase production by Bacillus nealsonii PN-11 in submerged fermentation | 21 |
| 15 | 58 | |
| 16 | 66 | |
| 17 | Production of alkaline thermostable protease by immobilized cells of alkalophilic Bacillus sp. NB 34 | 8 |
| 18 | 226 |
About Neena Puri
Neena Puri is a scholar working on Biotechnology, Biomedical Engineering and Pharmacy, having authored 18 papers that have together received 915 indexed citations. Recurring topics across this work include Enzyme Production and Characterization (11 papers), Biofuel production and bioconversion (9 papers) and Enzyme-mediated dye degradation (4 papers). The work is most often cited by research in Biotechnology (516 citations), Plant Science (469 citations) and Nutrition and Dietetics (148 citations). Neena Puri has collaborated with scholars based in India, Italy and United States. Frequent co-authors include Naveen Gupta, Prakram Singh Chauhan, Prince Sharma, Sonica Sondhi, Nancy George, Naveen Gupta, Neha Sharma, Kanthi Kiran Kondepudi, Vivek Kumar and Deepak Kumar. Their work appears in journals such as PLoS ONE, Journal of Cleaner Production and Trends in Food Science & Technology.
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.