Arunkanth Ankala
Impact in
- Insect Science top 5%
- Insect-Plant Interactions and Control
- Genetics top 5%
- Genomics and Rare Diseases
- Genomic variations and chromosomal abnormalities
- Neurogenetic and Muscular Disorders Research
Papers in
-
- Muscle Physiology and Disorders 8
- Insect Resistance and Genetics 5
- CRISPR and Genetic Engineering 3
- Genetics 11
- Genomics and Rare Diseases 9
- Genomic variations and chromosomal abnormalities 5
- Co-authors
- Madhuri Hegde (15 shared papers)William R. Wilcox (1 shared paper)Yuan Xue (1 shared paper)Dawn S. Luthe (6 shared papers)W. Paul Williams (3 shared papers)Renuka Shivaji (4 shared papers)J. R. Wilkinson (3 shared papers)Lora Jh Bean (2 shared papers)
- Journals
- Genetics in Medicine (4 papers)Muscle & Nerve (3 papers)PLoS ONE (2 papers)Human Mutation (2 papers)Clinics in Perinatology (1 paper)
- Partner nations
- United StatesIndiaRussia
In The Last Decade
Arunkanth Ankala
31 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 87
- Insect Science 191
- Genetics 400
- Genetics 105
- Molecular Biology 600
- Plant Science 305
Countries citing papers authored by Arunkanth Ankala
This map shows the geographic impact of Arunkanth Ankala'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 Arunkanth Ankala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arunkanth Ankala more than expected).
Fields of papers citing papers by Arunkanth Ankala
This network shows the impact of papers produced by Arunkanth Ankala. 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 Arunkanth Ankala. The network helps show where Arunkanth Ankala may publish in the future.
Co-authors
The 25 scholars most cited alongside Arunkanth Ankala, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 250 | |
| 2 | 2016 | 139 | |
| 3 | 2014 | 128 | |
| 4 | 2010 | 114 | |
| 5 | 2019 | 92 | |
| 6 | 2007 | 75 | |
| 7 | 2012 | 62 | |
| 8 | 2013 | 60 | |
| 9 | 2009 | 45 | |
| 10 | 2011 | 43 | |
| 11 | 2012 | 35 | |
| 12 | 2014 | 28 | |
| 13 | 2014 | 27 | |
| 14 | 2012 | 24 | |
| 15 | 2010 | 23 | |
| 16 | 2014 | 18 | |
| 17 | 2010 | 17 | |
| 18 | 2014 | 13 | |
| 19 | 2018 | 9 | |
| 20 | 2011 | 9 |
About Arunkanth Ankala
Arunkanth Ankala is a scholar working on Molecular Biology, Genetics, Plant Science, Insect Science and Genetics, having authored 32 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genomics and Rare Diseases (9 papers), Muscle Physiology and Disorders (8 papers), Insect Resistance and Genetics (5 papers), Genomic variations and chromosomal abnormalities (5 papers), Mycotoxins in Agriculture and Food (4 papers), Insect-Plant Interactions and Control (4 papers), Insect Pest Control Strategies (3 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Insect Science (191 citations), Genetics (400 citations), Genetics (105 citations), Molecular Biology (600 citations) and Plant Science (305 citations). Arunkanth Ankala has collaborated with scholars based in United States, India and Russia. Frequent co-authors include Madhuri Hegde, William R. Wilcox, Yuan Xue, Dawn S. Luthe, W. Paul Williams, Renuka Shivaji, J. R. Wilkinson, Lora Jh Bean, Alessandra Ferlini and Francesca Gualandi. Their work appears in journals such as Genetics in Medicine, Muscle & Nerve, PLoS ONE, Human Mutation and Clinics in Perinatology.
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.