Michelle Self
Impact in
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- Renal cell carcinoma treatment
- Molecular Biology top 5%
- Renal and related cancers
- Pluripotent Stem Cells Research
Papers in
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- Renal and related cancers 5
- Hedgehog Signaling Pathway Studies 2
- Congenital heart defects research 2
- Epigenetics and DNA Methylation 1
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- Renal cell carcinoma treatment 3
- Co-authors
- Guillermo Oliver (6 shared papers)Thomas J. Carroll (2 shared papers)M. Todd Valerius (1 shared paper)Andrew P. McMahon (1 shared paper)Akio Kobayashi (1 shared paper)Joshua W. Mugford (1 shared paper)Yi Cai (1 shared paper)Oleg V. Lagutin (1 shared paper)
- Journals
- Developmental Biology (2 papers)Development (2 papers)The EMBO Journal (1 paper)Cell stem cell (1 paper)Microorganisms (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Michelle Self
6 papers receiving 1.4k citations
Michelle Self's Hit Papers
Peers
Comparison fields: 5 of 57
- Pulmonary and Respiratory Medicine 626
- Molecular Biology 1.3k
- Urology 107
- Pediatrics, Perinatology and Child Health 235
- Genetics 303
Countries citing papers authored by Michelle Self
This map shows the geographic impact of Michelle Self'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 Michelle Self with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michelle Self more than expected).
Fields of papers citing papers by Michelle Self
This network shows the impact of papers produced by Michelle Self. 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 Michelle Self. The network helps show where Michelle Self may publish in the future.
Co-authors
The 25 scholars most cited alongside Michelle Self, 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 | Six2 Defines and Regulates a Multipotent Self-Renewing Nephron Progenitor Population throughout Mammalian Kidney Development Hit paper breakdown → | 2008 | 714 |
| 2 | 2006 | 364 | |
| 3 | 2011 | 227 | |
| 4 | 2008 | 43 | |
| 5 | 2010 | 34 | |
| 6 | 2009 | 24 | |
| 7 | 2025 | 0 |
About Michelle Self
Michelle Self is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Infectious Diseases, Surgery and Urology, having authored 7 papers that have together received 1.4k indexed citations. Recurring topics across this work include Renal and related cancers (5 papers), Renal cell carcinoma treatment (3 papers), Hedgehog Signaling Pathway Studies (2 papers), Congenital heart defects research (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (1 paper), Epigenetics and DNA Methylation (1 paper), Tuberculosis Research and Epidemiology (1 paper) and Congenital Anomalies and Fetal Surgery (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (626 citations), Molecular Biology (1.3k citations), Urology (107 citations), Pediatrics, Perinatology and Child Health (235 citations) and Genetics (303 citations). Michelle Self has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Guillermo Oliver, Thomas J. Carroll, M. Todd Valerius, Andrew P. McMahon, Akio Kobayashi, Joshua W. Mugford, Yi Cai, Oleg V. Lagutin, Gregory R. Dressler and Chuo Chen. Their work appears in journals such as Developmental Biology, Development, The EMBO Journal, Cell stem cell and Microorganisms.
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.