Anand Mayakonda

9.4k citations
35 papers · 4.2k indexed · 1 hit paper · h-index 22

Anand Mayakonda

34 papers receiving 4.2k citations

Hit Papers

Maftools: efficient and comprehensive analysis of somatic...2.9k201820262020202350010001.5k2.0k2.5k

Peers

Anand Mayakonda
Comparison fields: 5 of 99
  • Cancer Research 1.7k
  • Pulmonary and Respiratory Medicine 1.9k
  • Oncology 1.4k
  • Molecular Biology 2.4k
  • Immunology 565
Replace Roland Penzel with:
Roland Penzel Germany
Mihaela Angelova Austria
Yoon‐La Choi South Korea
Santiago Viteri Spain
Federico A. Monzon United States
Ernest Nadal Spain
Sameek Roychowdhury United States
Amado J. Zurita United States
James R. Vasselli United States
Fiamma Buttitta Italy
Anand Mayakonda relative to Roland Penzel Germany Roland Penzel's profile →
Citations per field
00.5×4.7×
Roland Penzel · 1×
Citations per year

Countries citing papers authored by Anand Mayakonda

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Anand Mayakonda Line = papers co-authored together Anand Mayakonda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20245
2 202359
3 20239
4 202223
5 20218
6 202123
7 20205
8 201931
9 201947
10 20195
11
Maftools: efficient and comprehensive analysis of somatic variants in cancerbreakdown →
20182899
12 201823
13 201748
14 2017148
15 201777
16 201730
17 201624
18 201149
19
Integrin Receptor-Tyrosine Kinase Signaling Cascades That Synchronize Daily RPE Phagocytosis of Photoreceptor Outer Segments
20071
20 200114

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.

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