Anand Mayakonda
- Cancer Research top 0.5%
- Oncology top 2%
- Molecular Biology top 5%
- Epigenetics and DNA Methylation 8
- Protein Degradation and Inhibitors 5
- Genomics and Chromatin Dynamics 5
- Chromatin Remodeling and Cancer 4
- RNA modifications and cancer 4
- Ubiquitin and proteasome pathways 4
- RNA Research and Splicing 4
- Immunology top 5%
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- Acute Lymphoblastic Leukemia research 4
- Co-authors
- H. Phillip KoefflerDe‐Chen LinChristoph PlassYassen AssenovLing‐Wen DingBenjamin P. BermanHuy Q. DinhMing‐Rong Wang
- Partner nations
- United StatesSingaporeGermany
In The Last Decade
Anand Mayakonda
34 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Cancer Research 1.7k
- Pulmonary and Respiratory Medicine 1.9k
- Oncology 1.4k
- Molecular Biology 2.4k
- Immunology 565
Countries citing papers authored by Anand Mayakonda
This map shows the geographic impact of Anand Mayakonda'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 Anand Mayakonda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anand Mayakonda more than expected).
Fields of papers citing papers by Anand Mayakonda
This network shows the impact of papers produced by Anand Mayakonda. 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 Anand Mayakonda. The network helps show where Anand Mayakonda may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Anand Mayakonda, 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 | 2024 | 5 | |
| 2 | 2023 | 59 | |
| 3 | 2023 | 9 | |
| 4 | 2022 | 23 | |
| 5 | 2021 | 8 | |
| 6 | 2021 | 23 | |
| 7 | 2020 | 5 | |
| 8 | 2019 | 31 | |
| 9 | 2019 | 47 | |
| 10 | 2019 | 5 | |
| 11 | Maftools: efficient and comprehensive analysis of somatic variants in cancerbreakdown → | 2018 | 2899 |
| 12 | 2018 | 23 | |
| 13 | 2017 | 48 | |
| 14 | 2017 | 148 | |
| 15 | 2017 | 77 | |
| 16 | 2017 | 30 | |
| 17 | 2016 | 24 | |
| 18 | 2011 | 49 | |
| 19 | Integrin Receptor-Tyrosine Kinase Signaling Cascades That Synchronize Daily RPE Phagocytosis of Photoreceptor Outer Segments | 2007 | 1 |
| 20 | 2001 | 14 |
About Anand Mayakonda
Anand Mayakonda is a scholar working on Cancer Research, Molecular Biology and Pathology and Forensic Medicine, having authored 35 papers that have together received 4.2k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (8 papers), Protein Degradation and Inhibitors (5 papers), Genomics and Chromatin Dynamics (5 papers), Chromatin Remodeling and Cancer (4 papers), RNA modifications and cancer (4 papers), Acute Lymphoblastic Leukemia research (4 papers), Ubiquitin and proteasome pathways (4 papers) and RNA Research and Splicing (4 papers). The work is most often cited by research in Cancer Research (1.7k citations), Pulmonary and Respiratory Medicine (1.9k citations) and Oncology (1.4k citations). Anand Mayakonda has collaborated with scholars based in United States, Singapore and Germany. Frequent co-authors include H. Phillip Koeffler, De‐Chen Lin, Christoph Plass, Yassen Assenov, Ling‐Wen Ding, Benjamin P. Berman, Huy Q. Dinh, Ming‐Rong Wang, Yan‐Yi Jiang and Deepika Kanojia. Their work appears in journals such as Nucleic Acids Research, Nature Communications and Nature Genetics.
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.