Kiran Chada
Impact in
- Cancer Research top 1%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 2%
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- CRISPR and Genetic Engineering
- Epigenetics and DNA Methylation
- RNA modifications and cancer
Papers in
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- Cancer-related molecular mechanisms research 12
-
- Genomics and Chromatin Dynamics 11
- RNA Research and Splicing 11
- CRISPR and Genetic Engineering 8
- Cancer-related gene regulation 6
- Pluripotent Stem Cells Research 5
- Co-authors
- Frank CostantiniXianjin ZhouJeanne MagramHena R. AsharKathleen F. BensonSeema S. DalalJeanine D’ArmientoYasunori Okada
- Journals
- Cancer Research (6 papers)Nature (4 papers)Biochemical and Biophysical Research Communications (4 papers)Cell (3 papers)Mammalian Genome (3 papers)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Kiran Chada
66 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Cancer Research 1.4k
- Molecular Biology 3.7k
- Genetics 1.1k
- Developmental Neuroscience 116
- Genetics 285
Countries citing papers authored by Kiran Chada
This map shows the geographic impact of Kiran Chada'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 Kiran Chada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kiran Chada more than expected).
Fields of papers citing papers by Kiran Chada
This network shows the impact of papers produced by Kiran Chada. 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 Kiran Chada. The network helps show where Kiran Chada may publish in the future.
Co-authors
The 25 scholars most cited alongside Kiran Chada, 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 | 2021 | 5 | |
| 2 | 2021 | 3 | |
| 3 | 2016 | 17 | |
| 4 | 2015 | 108 | |
| 5 | 2013 | 212 | |
| 6 | 2005 | 14 | |
| 7 | 2004 | 11 | |
| 8 | 2004 | 57 | |
| 9 | 2003 | 26 | |
| 10 | 2003 | 4 | |
| 11 | 2000 | 15 | |
| 12 | 1998 | 22 | |
| 13 | 1998 | 45 | |
| 14 | 1998 | 42 | |
| 15 | 1997 | 25 | |
| 16 | 1995 | 119 | |
| 17 | 1995 | 363 | |
| 18 | 1994 | 13 | |
| 19 | 1994 | 4 | |
| 20 | 1994 | 12 |
About Kiran Chada
Kiran Chada is a scholar working on Cancer Research, Molecular Biology, Genetics, Pathology and Forensic Medicine and Urology, having authored 67 papers that have together received 5.6k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (12 papers), Animal Genetics and Reproduction (12 papers), Genomics and Chromatin Dynamics (11 papers), RNA Research and Splicing (11 papers), CRISPR and Genetic Engineering (8 papers), Cancer-related gene regulation (6 papers), Tuberous Sclerosis Complex Research (5 papers) and Pluripotent Stem Cells Research (5 papers). The work is most often cited by research in Cancer Research (1.4k citations), Molecular Biology (3.7k citations), Genetics (1.1k citations), Developmental Neuroscience (116 citations) and Genetics (285 citations). Kiran Chada has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Frank Costantini, Xianjin Zhou, Jeanne Magram, Hena R. Ashar, Kathleen F. Benson, Seema S. Dalal, Jeanine D’Armiento, Yasunori Okada, Injune Kim and Jinsuke Nishino. Their work appears in journals such as Cancer Research, Nature, Biochemical and Biophysical Research Communications, Cell and Mammalian Genome.
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.