Margot Mayer‐Pröschel

4.8k citations
51 papers · 3.8k indexed · h-index 30
Topics
Neurogenesis and neuroplasticity mechanisms (23 papers)MicroRNA in disease regulation (11 papers)Pluripotent Stem Cells Research (7 papers)

In The Last Decade

Margot Mayer‐Pröschel

51 papers receiving 3.7k citations

Peers

Margot Mayer‐Pröschel
Comparison fields: 5 of 131
  • Molecular Biology 1.6k
  • Developmental Neuroscience 1.3k
  • Genetics 753
  • Cellular and Molecular Neuroscience 738
  • Cancer Research 483
Replace Yamei Tang with:
Yamei Tang China
Katja M. Kanninen Finland
Chunling Zhang United States
Andrew G. Reaume United States
Pablo M. Paez United States
Erich Giedzinski United States
Christoph Wießner Switzerland
Alexander Gow United States
Sebastiano Cavallaro Italy
Masatsugu Ema Japan
Margot Mayer‐Pröschel relative to Yamei Tang China Yamei Tang's profile →
Citations per field
00.5×5.4×
Yamei Tang · 1×
Citations per year

Countries citing papers authored by Margot Mayer‐Pröschel

Since Specialization
Citations

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

Fields of papers citing papers by Margot Mayer‐Pröschel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Margot Mayer‐Pröschel. 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 Margot Mayer‐Pröschel. The network helps show where Margot Mayer‐Pröschel may publish in the future.

Co-authorship network of co-authors of Margot Mayer‐Pröschel

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 57
3 12
4 143
5 300
6 35
7 47
8 42
9 40
10 15
11 70
12 81
13 51
14 17
15 29
16 10
17 3
18 140
19 236
20 37

About Margot Mayer‐Pröschel

Margot Mayer‐Pröschel is a scholar working on Developmental Neuroscience, Cancer Research and Genetics, having authored 51 papers that have together received 3.8k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (23 papers), MicroRNA in disease regulation (11 papers) and Pluripotent Stem Cells Research (7 papers). The work is most often cited by research in Developmental Neuroscience (1.3k citations), Genetics (753 citations) and Neurology (407 citations). Margot Mayer‐Pröschel has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Mark Noble, Rao Ms, Tahmina Mujtaba, Jöerg Dietrich, Mahendra S. Rao, Joel Smith, Ena Ladi, Christoph Pröschel, Anjali J. Kalyani and Ruolan Han. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Medicine.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026