Smita Raghava
Impact in
-
- Monoclonal and Polyclonal Antibodies Research
- Filtration and Separation top 10%
Papers in
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- Protein purification and stability 10
- Enzyme Catalysis and Immobilization 5
- Viral Infectious Diseases and Gene Expression in Insects 3
- Microbial Metabolic Engineering and Bioproduction 3
- Ecology 3
- Bacteriophages and microbial interactions 3
- Co-authors
- Munishwar Nath Gupta (11 shared papers)Daniel N. Hebert (4 shared papers)Pradeep Kumar Singh (3 shared papers)Alejandro P. Heuck (2 shared papers)Fabian B. Romano (2 shared papers)Yingda Xu (1 shared paper)Tao Xiang (1 shared paper)Hongcheng Liu (1 shared paper)
- Journals
- Biotechnology and Applied Biochemistry (1 paper)Biochemical Engineering Journal (1 paper)Bioresource Technology (1 paper)Protein Science (1 paper)Biochemistry (1 paper)
- Partner nations
- IndiaUnited StatesGermany
In The Last Decade
Smita Raghava
18 papers receiving 478 citations
Peers
Comparison fields: 5 of 66
- Radiology, Nuclear Medicine and Imaging 160
- Filtration and Separation 15
- Molecular Biology 348
- Oncology 77
- Biotechnology 22
Countries citing papers authored by Smita Raghava
This map shows the geographic impact of Smita Raghava'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 Smita Raghava with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Smita Raghava more than expected).
Fields of papers citing papers by Smita Raghava
This network shows the impact of papers produced by Smita Raghava. 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 Smita Raghava. The network helps show where Smita Raghava may publish in the future.
Co-authors
The 25 scholars most cited alongside Smita Raghava, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 195 | |
| 2 | 2011 | 46 | |
| 3 | 2008 | 32 | |
| 4 | 2013 | 25 | |
| 5 | 2009 | 25 | |
| 6 | 2008 | 23 | |
| 7 | 2012 | 22 | |
| 8 | 2012 | 22 | |
| 9 | 2008 | 21 | |
| 10 | 2010 | 19 | |
| 11 | 2006 | 16 | |
| 12 | 2008 | 16 | |
| 13 | 2007 | 16 | |
| 14 | 2008 | 7 | |
| 15 | 2009 | 7 | |
| 16 | 2023 | 5 | |
| 17 | 2006 | 3 | |
| 18 | 2024 | 1 |
About Smita Raghava
Smita Raghava is a scholar working on Molecular Biology, Ecology, Epidemiology, Radiology, Nuclear Medicine and Imaging and Biotechnology, having authored 18 papers that have together received 501 indexed citations. Recurring topics across this work include Protein purification and stability (10 papers), Enzyme Catalysis and Immobilization (5 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Enzyme Production and Characterization (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Bacteriophages and microbial interactions (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers) and Plant Virus Research Studies (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (160 citations), Filtration and Separation (15 citations), Molecular Biology (348 citations), Oncology (77 citations) and Biotechnology (22 citations). Smita Raghava has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Munishwar Nath Gupta, Daniel N. Hebert, Pradeep Kumar Singh, Alejandro P. Heuck, Fabian B. Romano, Yingda Xu, Tao Xiang, Hongcheng Liu, Dingjiang Liu and Wei Xu. Their work appears in journals such as Biotechnology and Applied Biochemistry, Biochemical Engineering Journal, Bioresource Technology, Protein Science and Biochemistry.
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.