Norbert Topf

2.0k citations
10 papers · 1.5k indexed · 1 hit paper · h-index 9

Impact in

Papers in

Norbert Topf

10 papers receiving 1.5k citations

Hit Papers

Derivation of midbrain dopamine neurons from human embryonic stem cells 2004 · 747 citations
7472004202620112018200400600

Peers

Norbert Topf
Comparison fields: 5 of 83
  • Developmental Neuroscience 432
  • Cellular and Molecular Neuroscience 636
  • Molecular Biology 1.2k
  • Genetics 132
  • Genetics 137
Replace Yechiel Elkabetz with:
Yechiel Elkabetz Israel
Maria Sundberg United States
Alexandra Blak United States
Daniel Fuentes United States
Joshua A. Bagley United States
David R. Gies United States
Etti Reinhartz Israel
Taisuke Kadoshima Japan
Philipp Wörsdörfer Germany
Yuko Kokubu Japan
Norbert Topf relative to Yechiel Elkabetz Israel Yechiel Elkabetz's profile →
Citations per field
00.5×1.7×
Yechiel Elkabetz · 1×
Citations per year

Countries citing papers authored by Norbert Topf

Since Specialization
Citations

This map shows the geographic impact of Norbert Topf'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 Norbert Topf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Norbert Topf more than expected).

Fields of papers citing papers by Norbert Topf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Norbert Topf. 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 Norbert Topf. The network helps show where Norbert Topf may publish in the future.

Co-authors

The 25 scholars most cited alongside Norbert Topf, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Norbert Topf Line = papers co-authored together Norbert Topf links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1
Derivation of midbrain dopamine neurons from human embryonic stem cells
Hit paper breakdown →
2004747
2 2003487
3 199865
4 200552
5 200647
6 199046
7 200337
8 199933
9 199918
10 19995

About Norbert Topf

Norbert Topf is a scholar working on Developmental Neuroscience, Biotechnology, Cellular and Molecular Neuroscience, Hepatology and Genetics, having authored 10 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cancer Research and Treatments (3 papers), Virus-based gene therapy research (3 papers), Neuroscience and Neuropharmacology Research (3 papers), RNA Interference and Gene Delivery (2 papers), Anesthesia and Neurotoxicity Research (2 papers), Pluripotent Stem Cells Research (2 papers), Cardiac electrophysiology and arrhythmias (1 paper) and Ion channel regulation and function (1 paper). The work is most often cited by research in Developmental Neuroscience (432 citations), Cellular and Molecular Neuroscience (636 citations), Molecular Biology (1.2k citations), Genetics (132 citations) and Genetics (137 citations). Norbert Topf has collaborated with scholars based in United States, Poland and Germany. Frequent co-authors include Neil L. Harrison, Juan L. Brusés, Anselme L. Perrier, Lorenz Studer, Tiziano Barberi, Viviane Tabar, María E. Rubio, Malcolm A.S. Moore, Hyojin Lee and Hibiki Kawamata. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Blood, Diseases of the Colon & Rectum, Anesthesiology and Journal of Investigative Dermatology.

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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