Daniela Schreiber

2.2k citations
25 papers · 1.8k · h-index 17

Impact in

Papers in

Daniela Schreiber

24 papers receiving 1.8k citations

Peers

Daniela Schreiber
Comparison fields: 5 of 114
  • Biological Psychiatry 273
  • Pharmacology 695
  • Cellular and Molecular Neuroscience 602
  • Toxicology 83
  • Endocrine and Autonomic Systems 123
Replace Izuru Matsumoto with:
Izuru Matsumoto Australia
Natalia Realini Italy
Ellen B. Geller United States
Sanzio Candeletti Italy
Estefanía Núñez Spain
David J. Brunswick United States
Richard Alonso France
Milt Teitler United States
Rosa M. Tolón Spain
Payton King United States
Daniela Schreiber relative to Izuru Matsumoto Australia Izuru Matsumoto's profile →
Citations per field
00.5×2.6×
Izuru Matsumoto · 1×
Citations per year

Countries citing papers authored by Daniela Schreiber

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Schreiber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004372
2 2006228
3 2007180
4 2006144
5 2009129
6 2007115
7 2007109
8 200882
9 200656
10 200455
11 200455
12 200346
13 201139
14 201136
15 200935
16 200632
17 201221
18 201515
19 200715
20 200912

About Daniela Schreiber

Daniela Schreiber is a scholar working on Molecular Biology, Pharmacology, Cellular and Molecular Neuroscience, Psychiatry and Mental health and Plant Science, having authored 25 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (8 papers), Neuroscience and Neuropharmacology Research (4 papers), Tryptophan and brain disorders (3 papers), Schizophrenia research and treatment (3 papers), Plant Reproductive Biology (3 papers), Ion channel regulation and function (3 papers), Cellular transport and secretion (3 papers) and Plant Molecular Biology Research (2 papers). The work is most often cited by research in Biological Psychiatry (273 citations), Pharmacology (695 citations), Cellular and Molecular Neuroscience (602 citations), Toxicology (83 citations) and Endocrine and Autonomic Systems (123 citations). Daniela Schreiber has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include F. Markus Leweke, Dagmar Koethe, C.W. Gerth, Joachim Klosterkötter, Daniele Piomelli, Andrea Giuffrida, Johannes Faulhaber, Jeffrey Huang, Thomas Dresselhaus and Dominik Oliver. Their work appears in journals such as PLoS Medicine, PLANT PHYSIOLOGY, European Psychiatry, Journal of Biological Chemistry and Biological Psychiatry.

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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