Kunchur Guruprasad
- Biotechnology top 5%
- Enzyme Production and Characterization 9
- Molecular Biology top 5%
- Protein Structure and Dynamics 19
- RNA and protein synthesis mechanisms 11
- Machine Learning in Bioinformatics 9
- Biochemical and Structural Characterization 5
- Glycosylation and Glycoproteins Research 2
- Microbiology top 5%
- Plant Science top 5%
- Phytase and its Applications 3
- Infectious Diseases top 10%
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- Enzyme Structure and Function 15
- Co-authors
- Boojala Vijay B. ReddyM.W. PanditRajkumar SasidharanTom L. BlundellGurpreet KaurPratap Kumar PatiAshutosh SharmaJukka Kervinen
- Journals
- SHILAP Revista de lepidopterología (1 paper)Bioinformatics (1 paper)PLoS ONE (3 papers)
- Partner nations
- IndiaUnited KingdomUnited States
In The Last Decade
Kunchur Guruprasad
43 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Biotechnology 199
- Molecular Biology 1.3k
- Microbiology 110
- Plant Science 367
- Infectious Diseases 133
Countries citing papers authored by Kunchur Guruprasad
This map shows the geographic impact of Kunchur Guruprasad'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 Kunchur Guruprasad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kunchur Guruprasad more than expected).
Fields of papers citing papers by Kunchur Guruprasad
This network shows the impact of papers produced by Kunchur Guruprasad. 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 Kunchur Guruprasad. The network helps show where Kunchur Guruprasad may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kunchur Guruprasad, 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 | 2016 | 13 | |
| 2 | 2015 | 31 | |
| 3 | 2014 | 102 | |
| 4 | 2011 | 9 | |
| 5 | 2010 | 2 | |
| 6 | 2006 | 9 | |
| 7 | 2005 | 3 | |
| 8 | 2005 | 3 | |
| 9 | 2004 | 31 | |
| 10 | 2004 | 7 | |
| 11 | 2003 | 12 | |
| 12 | 2003 | 9 | |
| 13 | 2003 | 18 | |
| 14 | 2001 | 16 | |
| 15 | 2000 | 13 | |
| 16 | 1995 | 6 | |
| 17 | 1995 | 23 | |
| 18 | 1994 | 74 | |
| 19 | 1993 | 88 | |
| 20 | Correlation between stability of a protein and its dipeptide composition: a novel approach for predicting in vivo stability of a protein from its primary sequencebreakdown → | 1990 | 985 |
About Kunchur Guruprasad
Kunchur Guruprasad is a scholar working on Biotechnology, Molecular Biology and Materials Chemistry, having authored 43 papers that have together received 1.9k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (19 papers), Enzyme Structure and Function (15 papers), RNA and protein synthesis mechanisms (11 papers), Machine Learning in Bioinformatics (9 papers), Enzyme Production and Characterization (9 papers), Biochemical and Structural Characterization (5 papers), Phytase and its Applications (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Biotechnology (199 citations), Molecular Biology (1.3k citations) and Microbiology (110 citations). Kunchur Guruprasad has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Boojala Vijay B. Reddy, M.W. Pandit, Rajkumar Sasidharan, Tom L. Blundell, Gurpreet Kaur, Pratap Kumar Pati, Ashutosh Sharma, Jukka Kervinen, Kirsi Törmäkangas and Lalitha Guruprasad. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.
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.