Petra May

2.6k citations
34 papers · 2.1k · h-index 23

Impact in

Papers in

Petra May

31 papers receiving 2.1k citations

Peers

Petra May
Comparison fields: 5 of 100
  • Developmental Neuroscience 393
  • Cellular and Molecular Neuroscience 469
  • Cell Biology 377
  • Cancer Research 342
  • Neurology 168
Replace Gesine Saher with:
Gesine Saher Germany
María‐Paz Marzolo Chile
Ryoji Yao Japan
Bridget Shafit‐Zagardo United States
Harald Frankowski United States
Harriet Coles United Kingdom
Steven H. Nye United States
Dennis A. Aquino United States
Aiguo Shen China
Dominic C.H. Ng Australia
Petra May relative to Gesine Saher Germany Gesine Saher's profile →
Citations per field
00.5×1.5×1.9×
Gesine Saher · 1×
Citations per year

Countries citing papers authored by Petra May

Since Specialization
Citations

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

Fields of papers citing papers by Petra May

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002246
2 2007202
3 2004184
4 2003177
5 2003119
6 2008115
7 2008113
8 201684
9 200483
10 200577
11 201474
12 201069
13 201368
14 200357
15 201356
16 201356
17 199643
18 201340
19 201439
20 200339

About Petra May

Petra May is a scholar working on Molecular Biology, Developmental Neuroscience, Cell Biology, Genetics and Surgery, having authored 34 papers that have together received 2.1k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (9 papers), Ubiquitin and proteasome pathways (5 papers), Signaling Pathways in Disease (4 papers), Neuroscience and Neuropharmacology Research (4 papers), Inflammatory Bowel Disease (4 papers), Cellular transport and secretion (4 papers), Cytokine Signaling Pathways and Interactions (3 papers) and Axon Guidance and Neuronal Signaling (3 papers). The work is most often cited by research in Developmental Neuroscience (393 citations), Cellular and Molecular Neuroscience (469 citations), Cell Biology (377 citations), Cancer Research (342 citations) and Neurology (168 citations). Petra May has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Joachim Herz, Hans H. Bock, Y. Krishna Reddy, Estelle Woldt, Philippe Boucher, Rachel L. Matz, Yves Jossin, Michael Frotscher, Chikako Nakajima and Johannes Nimpf. Their work appears in journals such as Journal of Biological Chemistry, Glia, PLoS ONE, Traffic and Journal of Psychiatric Research.

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