Mridul Mukherji
- Molecular Biology top 0.5%
- Cancer Research top 0.1%
- Genetics top 1%
- Physiology top 2%
- Oncology top 5%
- Co-authors
- Christopher J. SchofieldMichael WilsonChristopher W. PughYa‐Min TianPatrick H. MaxwellPanu JaakkolaPeter J. RatcliffeDavid R. Mole
- Topics
- Epigenetics and DNA Methylation (12 papers)Cancer, Hypoxia, and Metabolism (8 papers)Peroxisome Proliferator-Activated Receptors (7 papers)
- 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
- Molecular Biology 6.2k
- Cancer Research 5.5k
- Genetics 1.5k
- Physiology 1.1k
- Oncology 753
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 of co-authors of Mridul Mukherji
This figure shows the co-authorship network connecting the top 25 collaborators of Mridul Mukherji. A scholar is included among the top collaborators of Mridul Mukherji based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mridul Mukherji. Mridul Mukherji is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 20 | |
| 4 | 4 | |
| 5 | Ritonavir Inhibits HIF-1α Mediated VEGF Expression in Retinal Pigment Epithelial Cells | 1 |
| 6 | 18 | |
| 7 | 9 | |
| 8 | 33 | |
| 9 | 2 | |
| 10 | 22 | |
| 11 | 5 | |
| 12 | 46 | |
| 13 | 14 | |
| 14 | An Expanded Eukaryotic Genetic Codebreakdown → | 638 |
| 15 | 62 | |
| 16 | 20 | |
| 17 | 49 | |
| 18 | Targeting of HIF-α to the von Hippel-Lindau Ubiquitylation Complex by O 2 -Regulated Prolyl Hydroxylationbreakdown → | 4523 |
| 19 | C. elegans EGL-9 and Mammalian Homologs Define a Family of Dioxygenases that Regulate HIF by Prolyl Hydroxylationbreakdown → | 2746 |
| 20 | 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) and Peroxisome Proliferator-Activated Receptors (7 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.