Mandar D. Muzumdar
- Developmental Neuroscience top 1%
- Molecular Biology top 2%
- Epigenetics and DNA Methylation 4
- RNA Interference and Gene Delivery 4
- Hedgehog Signaling Pathway Studies 2
- Cancer Research top 5%
- Cancer Genomics and Diagnostics 5
- Cell Biology top 2%
- Oncology top 5%
- Pancreatic and Hepatic Oncology Research 8
- Cancer-related Molecular Pathways 3
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- Pancreatic function and diabetes 3
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- Advanced Fluorescence Microscopy Techniques 2
- Co-authors
- Liqun LuoKazunari MiyamichiBosiljka TasicLing LiHui ZongJ. Sebastian EspinosaHelen Hong SuLipika Goyal
- Partner nations
- United StatesSwedenGermany
In The Last Decade
Mandar D. Muzumdar
20 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Developmental Neuroscience 478
- Molecular Biology 2.9k
- Cancer Research 480
- Cell Biology 477
- Oncology 713
Countries citing papers authored by Mandar D. Muzumdar
This map shows the geographic impact of Mandar D. Muzumdar'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 Mandar D. Muzumdar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mandar D. Muzumdar more than expected).
Fields of papers citing papers by Mandar D. Muzumdar
This network shows the impact of papers produced by Mandar D. Muzumdar. 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 Mandar D. Muzumdar. The network helps show where Mandar D. Muzumdar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mandar D. Muzumdar, 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 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 23 | |
| 5 | 2023 | 10 | |
| 6 | 2021 | 72 | |
| 7 | 2019 | 103 | |
| 8 | 2018 | 65 | |
| 9 | 2018 | 20 | |
| 10 | 2017 | 29 | |
| 11 | 2017 | 128 | |
| 12 | Survival of pancreatic cancer cells lacking KRAS function | 2017 | 1 |
| 13 | 2017 | 101 | |
| 14 | 2016 | 48 | |
| 15 | 2013 | 257 | |
| 16 | A global double‐fluorescent Cre reporter mousebreakdown → | 2007 | 2568 |
| 17 | 2007 | 62 | |
| 18 | 2005 | 442 | |
| 19 | Sonic Hedgehog Is Required for Progenitor Cell Maintenance in Telencephalic Stem Cell Nichesbreakdown → | 2003 | 565 |
| 20 | 2003 | 8 |
About Mandar D. Muzumdar
Mandar D. Muzumdar is a scholar working on Developmental Neuroscience, Oncology and Biophysics, having authored 21 papers that have together received 4.5k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (8 papers), Cancer Genomics and Diagnostics (5 papers), Epigenetics and DNA Methylation (4 papers), RNA Interference and Gene Delivery (4 papers), Cancer-related Molecular Pathways (3 papers), Pancreatic function and diabetes (3 papers), Hedgehog Signaling Pathway Studies (2 papers) and Advanced Fluorescence Microscopy Techniques (2 papers). The work is most often cited by research in Developmental Neuroscience (478 citations), Molecular Biology (2.9k citations) and Cancer Research (480 citations). Mandar D. Muzumdar has collaborated with scholars based in United States, Sweden and Germany. Frequent co-authors include Liqun Luo, Kazunari Miyamichi, Bosiljka Tasic, Ling Li, Hui Zong, J. Sebastian Espinosa, Helen Hong Su, Lipika Goyal, Andrew X. Zhu and Jackie D. Corbin.
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.