Martina Maisel

1.7k citations
17 papers · 1.0k · h-index 12

Impact in

Papers in

Martina Maisel

16 papers receiving 987 citations

Peers

Martina Maisel
Comparison fields: 5 of 74
  • Developmental Neuroscience 336
  • Genetics 308
  • Cellular and Molecular Neuroscience 306
  • Neurology 152
  • Cancer Research 110
Replace Mahesh B. Lachyankar with:
Mahesh B. Lachyankar United States
Ana Sofia Correia Portugal
C. Simonin France
Wayne Murrell Australia
Makoto Ideguchi Japan
Li-Ru Zhao United States
Paul Stroemer United Kingdom
Martina Nardini Italy
J. Simon Lunn United States
Bárbara Mendes-Pinheiro Portugal
Martina Maisel relative to Mahesh B. Lachyankar United States Mahesh B. Lachyankar's profile →
Citations per field
00.5×1.5×2×2.4×
Mahesh B. Lachyankar · 1×
Citations per year

Countries citing papers authored by Martina Maisel

Since Specialization
Citations

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

Fields of papers citing papers by Martina Maisel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Martina Maisel, 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 Martina Maisel Line = papers co-authored together Martina Maisel links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2004378
2 2009150
3 2007107
4 200577
5 200654
6 200751
7 200950
8 200635
9 200732
10 201023
11 201520
12 200914
13 20149
14
Observations on the heterologous transplantation of human tumors.
19589
15 20133
16 20061
17 20100

About Martina Maisel

Martina Maisel is a scholar working on Molecular Biology, Developmental Neuroscience, Cellular and Molecular Neuroscience, Genetics and Cancer Research, having authored 17 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (9 papers), Pluripotent Stem Cells Research (5 papers), Nerve injury and regeneration (4 papers), Epigenetics and DNA Methylation (3 papers), Mesenchymal stem cell research (3 papers), MicroRNA in disease regulation (2 papers), Nuclear Receptors and Signaling (2 papers) and Parkinson's Disease Mechanisms and Treatments (2 papers). The work is most often cited by research in Developmental Neuroscience (336 citations), Genetics (308 citations), Cellular and Molecular Neuroscience (306 citations), Neurology (152 citations) and Cancer Research (110 citations). Martina Maisel has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Alexander Storch, Andreas Hermann, Stefan Liebau, Johannes Schwarz, Holger Lerche, Rolf E. Brenner, M. Oana Popa, Regina Gastl, Jörg Fiedler and Bernhard O. Boehm. Their work appears in journals such as Stem Cells, Human Molecular Genetics, Journal of the Neurological Sciences, Experimental Cell Research and Expert Opinion on Biological Therapy.

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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