Arunkanth Ankala
Impact in
- Genetics top 5%
- Genomics and Rare Diseases
- Connective tissue disorders research
- Neurogenetic and Muscular Disorders Research
- Insect Science top 5%
- Insect-Plant Interactions and Control
Papers in
- Genetics 19
- Genomics and Rare Diseases 18
- Connective tissue disorders research 2
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- Insect-Plant Interactions and Control 5
- Co-authors
- Madhuri Hegde (15 shared papers)Yuan Xue (1 shared paper)William Ross Wilcox (1 shared paper)William Paul Williams (8 shared papers)Dawn Sywassink Luthe (6 shared papers)Renuka Shivaji (4 shared papers)Jeff R. Wilkinson (3 shared papers)Lora Jh Bean (2 shared papers)
- Journals
- Genetics in Medicine (4 papers)Muscle & Nerve (3 papers)Human Mutation (2 papers)PLoS ONE (2 papers)Annals of Neurology (1 paper)
- Partner nations
- United StatesIndiaItaly
In The Last Decade
Arunkanth Ankala
35 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 77
- Genetics 695
- Insect Science 211
- Molecular Biology 484
- Clinical Biochemistry 29
- Genetics 48
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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 275 | |
| 2 | 2016 | 171 | |
| 3 | 2018 | 144 | |
| 4 | 2014 | 143 | |
| 5 | 2012 | 124 | |
| 6 | 2010 | 115 | |
| 7 | 2019 | 108 | |
| 8 | 2007 | 74 | |
| 9 | 2012 | 64 | |
| 10 | 2013 | 62 | |
| 11 | 2009 | 44 | |
| 12 | 2012 | 35 | |
| 13 | 2014 | 30 | |
| 14 | 2014 | 29 | |
| 15 | 2012 | 28 | |
| 16 | 2010 | 22 | |
| 17 | 2014 | 21 | |
| 18 | 2010 | 18 | |
| 19 | 2014 | 14 | |
| 20 | 2021 | 14 |
About Arunkanth Ankala
Arunkanth Ankala is a scholar working on Genetics, Insect Science, Molecular Biology, Pharmacology and Plant Science, having authored 36 papers that have together received 1.6k indexed citations. Recurring topics across this work include Genomics and Rare Diseases (18 papers), Muscle Physiology and Disorders (10 papers), Insect-Plant Interactions and Control (5 papers), Mycotoxins in Agriculture and Food (4 papers), Plant Disease Resistance and Genetics (2 papers), Plant pathogens and resistance mechanisms (2 papers), Pharmacogenetics and Drug Metabolism (2 papers) and Connective tissue disorders research (2 papers). The work is most often cited by research in Genetics (695 citations), Insect Science (211 citations), Molecular Biology (484 citations), Clinical Biochemistry (29 citations) and Genetics (48 citations). Arunkanth Ankala has collaborated with scholars based in United States, India and Italy. Frequent co-authors include Madhuri Hegde, Yuan Xue, William Ross Wilcox, William Paul Williams, Dawn Sywassink Luthe, Renuka Shivaji, Jeff R. Wilkinson, Lora Jh Bean, Francesca Gualandi and Alice K. Tanner. Their work appears in journals such as Genetics in Medicine, Muscle & Nerve, Human Mutation, PLoS ONE and Annals of Neurology.
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.