Satish Medicetty

2.2k citations
17 papers · 1.7k indexed · 1 hit paper · h-index 12
Topics
Mesenchymal stem cell research (6 papers)Pluripotent Stem Cells Research (4 papers)Tissue Engineering and Regenerative Medicine (4 papers)

In The Last Decade

Satish Medicetty

16 papers receiving 1.6k citations

Hit Papers

Human Umbilical Cord Matrix Stem Cells: Preliminary Chara...20052026201220192005100200300400500

Peers

Satish Medicetty
Comparison fields: 5 of 97
  • Genetics 972
  • Surgery 660
  • Molecular Biology 563
  • Cellular and Molecular Neuroscience 213
  • Biomaterials 203
Replace Hiroto Ishikawa with:
Hiroto Ishikawa Japan
Jian‐Guo Cui China
Lothar Just Germany
Roxanne L. Reger United States
Sudha Balasubramanian United States
Fábio G. Teixeira Portugal
Ivana Ferrero Italy
Sabine Conrad Germany
James Chan Australia
Adi Vaknin‐Dembinsky Israel
Satish Medicetty relative to Hiroto Ishikawa Japan Hiroto Ishikawa's profile →
Citations per field
00.5×1.5×
Hiroto Ishikawa · 1×
Citations per year

Countries citing papers authored by Satish Medicetty

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Satish Medicetty

This figure shows the co-authorship network connecting the top 25 collaborators of Satish Medicetty. A scholar is included among the top collaborators of Satish Medicetty 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 Satish Medicetty. Satish Medicetty is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 35
2 47
3 44
4 4
5 48
6 6
7 3
8 71
9 180
10 2
11 26
12 1
13 477
14 34
15
Human Umbilical Cord Matrix Stem Cells: Preliminary Characterization and Effect of Transplantation in a Rodent Model of Parkinson's Diseasebreakdown →
542
16 74
17 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) and Tissue Engineering and Regenerative Medicine (4 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.

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