Mridul Mukherji
- Cancer Research top 0.1%
- Cancer, Hypoxia, and Metabolism 8
- Molecular Biology top 0.5%
- Epigenetics and DNA Methylation 12
- Peroxisome Proliferator-Activated Receptors 7
- Histone Deacetylase Inhibitors Research 6
- Cancer-related gene regulation 6
- RNA modifications and cancer 5
- Biochemistry top 0.5%
- Aging top 2%
- Genetics top 1%
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- Retinal Diseases and Treatments 5
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- Metabolism and Genetic Disorders 4
- Co-authors
- Christopher J. SchofieldMichael WilsonChristopher W. PughYa‐Min TianPatrick H. MaxwellPanu JaakkolaPeter J. RatcliffeDavid R. Mole
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Mridul Mukherji
39 papers receiving 9.1k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Cancer Research 5.5k
- Molecular Biology 6.2k
- Biochemistry 554
- Aging 129
- Genetics 1.5k
Countries citing papers authored by Mridul Mukherji
This map shows the geographic impact of Mridul Mukherji'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 Mridul Mukherji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mridul Mukherji more than expected).
Fields of papers citing papers by Mridul Mukherji
This network shows the impact of papers produced by Mridul Mukherji. 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 Mridul Mukherji. The network helps show where Mridul Mukherji may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mridul Mukherji, 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 | 2023 | 2 | |
| 2 | 2017 | 4 | |
| 3 | 2014 | 20 | |
| 4 | 2014 | 4 | |
| 5 | Ritonavir Inhibits HIF-1α Mediated VEGF Expression in Retinal Pigment Epithelial Cells | 2013 | 1 |
| 6 | 2013 | 18 | |
| 7 | 2013 | 9 | |
| 8 | 2013 | 33 | |
| 9 | 2012 | 2 | |
| 10 | 2012 | 22 | |
| 11 | 2010 | 5 | |
| 12 | 2009 | 46 | |
| 13 | 2005 | 14 | |
| 14 | An Expanded Eukaryotic Genetic Codebreakdown → | 2003 | 638 |
| 15 | 2003 | 62 | |
| 16 | 2002 | 20 | |
| 17 | 2002 | 49 | |
| 18 | Targeting of HIF-α to the von Hippel-Lindau Ubiquitylation Complex by O 2 -Regulated Prolyl Hydroxylationbreakdown → | 2001 | 4523 |
| 19 | C. elegans EGL-9 and Mammalian Homologs Define a Family of Dioxygenases that Regulate HIF by Prolyl Hydroxylationbreakdown → | 2001 | 2746 |
| 20 | 2001 | 22 |
About Mridul Mukherji
Mridul Mukherji is a scholar working on Clinical Biochemistry, Ophthalmology and Cancer Research, having authored 40 papers that have together received 9.3k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (12 papers), Cancer, Hypoxia, and Metabolism (8 papers), Peroxisome Proliferator-Activated Receptors (7 papers), Histone Deacetylase Inhibitors Research (6 papers), Cancer-related gene regulation (6 papers), Retinal Diseases and Treatments (5 papers), RNA modifications and cancer (5 papers) and Metabolism and Genetic Disorders (4 papers). The work is most often cited by research in Cancer Research (5.5k citations), Molecular Biology (6.2k citations) and Biochemistry (554 citations). Mridul Mukherji has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Christopher J. Schofield, Michael Wilson, Christopher W. Pugh, Ya‐Min Tian, Patrick H. Maxwell, Panu Jaakkola, Peter J. Ratcliffe, David R. Mole, Alex von Kriegsheim and Holger Hebestreit. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.