P. Naresh Kumar
Impact in
- Genetics top 0.5%
- Genomics and Rare Diseases
- Genetics and Neurodevelopmental Disorders
- Genetic Associations and Epidemiology
- Molecular Biology top 2%
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- RNA modifications and cancer
Papers in
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- Remote-Sensing Image Classification 1
-
- Advanced Malware Detection Techniques 1
- Co-authors
- Steven HenikoffPauline C. NgGeorg SchneiderJing HuBalasubramanian RamanRidhi AroraNikhat ZafarMathangi Thiagarajan
- Journals
- Nucleic Acids Research (1 paper)Nature Protocols (1 paper)Standards in Genomic Sciences (1 paper)Medical & Biological Engineering & Computing (1 paper)
- Partner nations
- United StatesIndiaSingapore
In The Last Decade
P. Naresh Kumar
6 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Genetics 2.5k
- Molecular Biology 3.7k
- Cancer Research 741
- Genetics 343
- Clinical Biochemistry 205
Countries citing papers authored by P. Naresh Kumar
This map shows the geographic impact of P. Naresh Kumar'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 P. Naresh Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Naresh Kumar more than expected).
Fields of papers citing papers by P. Naresh Kumar
This network shows the impact of papers produced by P. Naresh Kumar. 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 P. Naresh Kumar. The network helps show where P. Naresh Kumar may publish in the future.
Co-authors
The 17 scholars most cited alongside P. Naresh Kumar, 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 | 2020 | 70 | |
| 2 | SIFT web server: predicting effects of amino acid substitutions on proteins Hit paper breakdown → | 2012 | 1608 |
| 3 | Comparison and Improvement of Wavelet Based Image Fusion | 2012 | 2 |
| 4 | THE IMAGE LEVEL TAINTING: A NEW APPROACH FOR PREVENTING SQL INJECTION ATTACKS | 2011 | 0 |
| 5 | 2010 | 47 | |
| 6 | Predicting the effects of coding non-synonymous variants on protein function using the SIFT algorithm Hit paper breakdown → | 2009 | 4718 |
| 7 | 2008 | 7 |
About P. Naresh Kumar
P. Naresh Kumar is a scholar working on Media Technology, Signal Processing, Artificial Intelligence, Atmospheric Science and Computer Vision and Pattern Recognition, having authored 7 papers that have together received 6.5k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (3 papers), RNA and protein synthesis mechanisms (2 papers), Machine Learning in Bioinformatics (1 paper), Remote-Sensing Image Classification (1 paper), Magnetic Bearings and Levitation Dynamics (1 paper), Advanced Malware Detection Techniques (1 paper), Remote Sensing and Land Use (1 paper) and Electric Motor Design and Analysis (1 paper). The work is most often cited by research in Genetics (2.5k citations), Molecular Biology (3.7k citations), Cancer Research (741 citations), Genetics (343 citations) and Clinical Biochemistry (205 citations). P. Naresh Kumar has collaborated with scholars based in United States, India and Singapore. Frequent co-authors include Steven Henikoff, Pauline C. Ng, Georg Schneider, Jing Hu, Balasubramanian Raman, Ridhi Arora, Nikhat Zafar, Mathangi Thiagarajan, Douglas B. Rusch and Sean D. Murphy. Their work appears in journals such as Nucleic Acids Research, Nature Protocols, Standards in Genomic Sciences and Medical & Biological Engineering & Computing.
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.