Arunkanth Ankala
- Genetics top 5%
- Genomics and Rare Diseases 8
- Genomic variations and chromosomal abnormalities 5
- Insect Science top 5%
- Insect-Plant Interactions and Control 4
- Genetics top 10%
- Genomics and Rare Diseases 8
- Genomic variations and chromosomal abnormalities 5
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- Muscle Physiology and Disorders 8
- Insect Resistance and Genetics 5
- Plant Science top 10%
- Mycotoxins in Agriculture and Food 4
- Wheat and Barley Genetics and Pathology 3
- Insect Pest Control Strategies 3
- Co-authors
- Madhuri HegdeYuan XueWilliam R. WilcoxDawn S. LutheW. Paul WilliamsRenuka ShivajiJ. R. WilkinsonLora Jh Bean
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Arunkanth Ankala
29 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 93
- Genetics 436
- Insect Science 173
- Genetics 120
- Molecular Biology 635
- Plant Science 288
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 88 | |
| 2 | 2018 | 1 | |
| 3 | 2018 | 9 | |
| 4 | 2017 | 6 | |
| 5 | 2017 | 3 | |
| 6 | 2016 | 129 | |
| 7 | 2015 | 3 | |
| 8 | 2014 | 228 | |
| 9 | 2014 | 3 | |
| 10 | 2014 | 7 | |
| 11 | 2013 | 8 | |
| 12 | 2013 | 56 | |
| 13 | 2012 | 32 | |
| 14 | 2012 | 59 | |
| 15 | 2011 | 41 | |
| 16 | 2011 | 8 | |
| 17 | 2010 | 22 | |
| 18 | 2010 | 106 | |
| 19 | 2009 | 40 | |
| 20 | 2007 | 64 |
About Arunkanth Ankala
Arunkanth Ankala is a scholar working on Genetics, Insect Science, Molecular Biology, Cell Biology and Plant Science, having authored 29 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genomics and Rare Diseases (8 papers), Muscle Physiology and Disorders (8 papers), Genomic variations and chromosomal abnormalities (5 papers), Insect Resistance and Genetics (5 papers), Mycotoxins in Agriculture and Food (4 papers), Insect-Plant Interactions and Control (4 papers), Wheat and Barley Genetics and Pathology (3 papers) and Insect Pest Control Strategies (3 papers). The work is most often cited by research in Genetics (436 citations), Insect Science (173 citations), Genetics (120 citations), Molecular Biology (635 citations) and Plant Science (288 citations). Arunkanth Ankala has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Madhuri Hegde, Yuan Xue, William R. Wilcox, Dawn S. Luthe, W. Paul Williams, Renuka Shivaji, J. R. Wilkinson, Lora Jh Bean, Christin Collins and Alessandra Ferlini. Their work appears in journals such as Genetics in Medicine, Muscle & Nerve, Human Mutation, PLoS ONE and Gene.
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.