Anand Mayasundari
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- Protein Degradation and Inhibitors 4
- Ubiquitin and proteasome pathways 4
- Protein Structure and Dynamics 3
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- Multiple Myeloma Research and Treatments 3
- Chronic Myeloid Leukemia Treatments 2
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- Protease and Inhibitor Mechanisms 3
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- Click Chemistry and Applications 2
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- Computational Drug Discovery Methods 2
- Co-authors
- Cynthia B. PetersonRakesh Kumar MishraMurali JayaramanAshwani Kumar ThakurRavindra KodaliRonald WetzelBankanidhi SahooMatthew W. Frank
- Journals
- Journal of Biological Chemistry (3 papers)Nature Communications (1 paper)Journal of Molecular Biology (2 papers)
- Partner nations
- United StatesUnited KingdomSerbia
In The Last Decade
Anand Mayasundari
21 papers receiving 582 citations
Peers
Comparison fields: 5 of 73
- Cellular and Molecular Neuroscience 124
- Molecular Medicine 33
- Molecular Biology 434
- Immunology and Allergy 36
- Hematology 62
Countries citing papers authored by Anand Mayasundari
This map shows the geographic impact of Anand Mayasundari'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 Mayasundari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anand Mayasundari more than expected).
Fields of papers citing papers by Anand Mayasundari
This network shows the impact of papers produced by Anand Mayasundari. 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 Mayasundari. The network helps show where Anand Mayasundari may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Anand Mayasundari, 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 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 6 | |
| 5 | 2023 | 44 | |
| 6 | 2022 | 24 | |
| 7 | 2020 | 17 | |
| 8 | 2017 | 14 | |
| 9 | 2016 | 26 | |
| 10 | 2014 | 45 | |
| 11 | 2011 | 156 | |
| 12 | 2010 | 6 | |
| 13 | 2010 | 14 | |
| 14 | 2008 | 68 | |
| 15 | 2007 | 28 | |
| 16 | 2007 | 30 | |
| 17 | 2004 | 36 | |
| 18 | 2004 | 10 | |
| 19 | 2003 | 18 | |
| 20 | 2003 | 5 |
About Anand Mayasundari
Anand Mayasundari is a scholar working on Hematology, Biotechnology and Virology, having authored 22 papers that have together received 597 indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (4 papers), Ubiquitin and proteasome pathways (4 papers), Protein Structure and Dynamics (3 papers), Multiple Myeloma Research and Treatments (3 papers), Protease and Inhibitor Mechanisms (3 papers), Click Chemistry and Applications (2 papers), Computational Drug Discovery Methods (2 papers) and Chronic Myeloid Leukemia Treatments (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (124 citations), Molecular Medicine (33 citations) and Molecular Biology (434 citations). Anand Mayasundari has collaborated with scholars based in United States, United Kingdom and Serbia. Frequent co-authors include Cynthia B. Peterson, Rakesh Kumar Mishra, Murali Jayaraman, Ashwani Kumar Thakur, Ravindra Kodali, Ronald Wetzel, Bankanidhi Sahoo, Matthew W. Frank, Kun Yan Zhu and Yongmei Zhang. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and Journal of Molecular Biology.
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.