Satish Medicetty
- Genetics top 1%
- Mesenchymal stem cell research 6
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms 4
- Biomaterials top 5%
- Surgery top 5%
- Tissue Engineering and Regenerative Medicine 4
- Gastroenterology top 5%
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- Pluripotent Stem Cells Research 4
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- Infant Nutrition and Health 2
- Biochemical Analysis and Sensing Techniques 2
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- Immune cells in cancer 2
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- Parkinson's Disease Mechanisms and Treatments 2
- Co-authors
- Deryl TroyerMark L. WeissKevin R. McIntoshCameron AndersonRaja Shekar RachakatlaMichael ChoiMahendra S. RaoYongquan Luo
- Partner nations
- United StatesSwedenCanada
In The Last Decade
Satish Medicetty
16 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Genetics 972
- Developmental Neuroscience 181
- Biomaterials 203
- Surgery 660
- Gastroenterology 70
Countries citing papers authored by Satish Medicetty
This map shows the geographic impact of Satish Medicetty'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 Satish Medicetty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satish Medicetty more than expected).
Fields of papers citing papers by Satish Medicetty
This network shows the impact of papers produced by Satish Medicetty. 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 Satish Medicetty. The network helps show where Satish Medicetty may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Satish Medicetty, 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 | 2017 | 35 | |
| 2 | 2016 | 47 | |
| 3 | 2016 | 44 | |
| 4 | 2015 | 4 | |
| 5 | 2015 | 48 | |
| 6 | 2015 | 6 | |
| 7 | 2014 | 3 | |
| 8 | 2014 | 71 | |
| 9 | 2014 | 180 | |
| 10 | 2014 | 2 | |
| 11 | 2011 | 26 | |
| 12 | 2009 | 1 | |
| 13 | 2008 | 477 | |
| 14 | 2007 | 34 | |
| 15 | Human Umbilical Cord Matrix Stem Cells: Preliminary Characterization and Effect of Transplantation in a Rodent Model of Parkinson's Diseasebreakdown → | 2005 | 542 |
| 16 | 2004 | 74 | |
| 17 | 2003 | 93 |
About Satish Medicetty
Satish Medicetty is a scholar working on Developmental Neuroscience, Genetics and Behavioral Neuroscience, having authored 17 papers that have together received 1.7k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (6 papers), Pluripotent Stem Cells Research (4 papers), Tissue Engineering and Regenerative Medicine (4 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Infant Nutrition and Health (2 papers), Immune cells in cancer (2 papers), Biochemical Analysis and Sensing Techniques (2 papers) and Parkinson's Disease Mechanisms and Treatments (2 papers). The work is most often cited by research in Genetics (972 citations), Developmental Neuroscience (181 citations) and Biomaterials (203 citations). Satish Medicetty has collaborated with scholars based in United States, Sweden and Canada. Frequent co-authors include Deryl Troyer, Mark L. Weiss, Kevin R. McIntosh, Cameron Anderson, Raja Shekar Rachakatla, Michael Choi, Mahendra S. Rao, Yongquan Luo, Gopalrao V.N. Velagaleti and Diego V. Bohórquez. Their work appears in journals such as Blood, PLoS ONE and Neurology.
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.