Maren Fedrowitz

35 papers receiving 2.1k citations

Peers

Maren Fedrowitz
Comparison fields: 5 of 99
  • Pediatrics, Perinatology and Child Health 1.2k
  • Psychiatry and Mental health 887
  • Oncology 1.2k
  • Cellular and Molecular Neuroscience 450
  • Neurology 171
Replace Massimo Rizzi with:
Massimo Rizzi Italy
Yilong Cui Japan
Claudia Brandt Germany
Anton Pekcec Germany
Ren‐Wu Chen United States
Russell J. Buono United States
Joan Liu United Kingdom
Laura Librizzi Italy
Alberto Javier Ramos Argentina
Zoran Redzic Kuwait
Maren Fedrowitz relative to Massimo Rizzi Italy Massimo Rizzi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Maren Fedrowitz

Since Specialization
Citations

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

Fields of papers citing papers by Maren Fedrowitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008243
2 2002198
3 2003184
4 2006179
5 2001172
6 2006134
7 201197
8 201383
9 201076
10 200771
11 200268
12 201364
13 201758
14 200356
15 200351
16 200446
17 200143
18 199940
19
Magnetic field exposure increases cell proliferation but does not affect melatonin levels in the mammary gland of female Sprague Dawley rats.
200235
20 200435

About Maren Fedrowitz

Maren Fedrowitz is a scholar working on Pediatrics, Perinatology and Child Health, Oncology, Psychiatry and Mental health, Cellular and Molecular Neuroscience and Biophysics, having authored 35 papers that have together received 2.1k indexed citations. Recurring topics across this work include Pharmacological Effects and Toxicity Studies (16 papers), Drug Transport and Resistance Mechanisms (15 papers), Epilepsy research and treatment (12 papers), Electromagnetic Fields and Biological Effects (7 papers), Neuroscience and Neuropharmacology Research (7 papers), Neurological disorders and treatments (4 papers), Genetic Neurodegenerative Diseases (4 papers) and Neurotransmitter Receptor Influence on Behavior (4 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (1.2k citations), Psychiatry and Mental health (887 citations), Oncology (1.2k citations), Cellular and Molecular Neuroscience (450 citations) and Neurology (171 citations). Maren Fedrowitz has collaborated with scholars based in Germany, Austria and Hungary. Frequent co-authors include Wolfgang Löscher, Heidrun Potschka, Carlos Luna‐Tortós, Steffen Baltes, Kerstin Römermann, Manuela Gernert, Alexandra M. Gastens, Volkhard Kaever, S. Lindemann and Kenji Kamino. Their work appears in journals such as Neuropharmacology, Neuroscience, Journal of Pharmacology and Experimental Therapeutics, European Journal of Neuroscience and European Journal of Pharmacology.

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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