Gudrun Hefner

2.7k citations
33 papers · 549 · h-index 17

Impact in

Papers in

Gudrun Hefner

32 papers receiving 540 citations

Peers

Gudrun Hefner
Comparison fields: 5 of 83
  • Geriatrics and Gerontology 112
  • Biological Psychiatry 44
  • Psychiatry and Mental health 218
  • Toxicology 32
  • Pharmacology 127
Replace Martina Hahn with:
Martina Hahn Germany
Christopher P Alderman Australia
Kamini Vasudev Canada
Salvatore De Fazio Italy
Francesco Paris Italy
Dwain Tolbert United States
Aleksandra Dragičević Germany
Vincenza Santoro Italy
JK Aronson United Kingdom
Linda R. Tulner Netherlands
Gudrun Hefner relative to Martina Hahn Germany Martina Hahn's profile →
Citations per field
00.5×5.7×
Martina Hahn · 1×
Citations per year

Countries citing papers authored by Gudrun Hefner

Since Specialization
Citations

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

Fields of papers citing papers by Gudrun Hefner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201562
2 201740
3 201439
4 202035
5 202130
6 202125
7 201424
8 201424
9 202021
10 202020
11 201819
12 202118
13 202018
14 201518
15 201317
16 201416
17 202116
18 202215
19 201815
20
Rating The Delirogenic Potential of Drugs for Prediction of Side Effects in Elderly Psychiatric Inpatients
201510

About Gudrun Hefner

Gudrun Hefner is a scholar working on Psychiatry and Mental health, Pharmacology, Geriatrics and Gerontology, Pediatrics, Perinatology and Child Health and Cardiology and Cardiovascular Medicine, having authored 33 papers that have together received 549 indexed citations. Recurring topics across this work include Schizophrenia research and treatment (16 papers), Pharmaceutical Practices and Patient Outcomes (11 papers), Treatment of Major Depression (11 papers), Electroconvulsive Therapy Studies (6 papers), Pharmacovigilance and Adverse Drug Reactions (5 papers), Pharmaceutical studies and practices (4 papers), Neurotransmitter Receptor Influence on Behavior (4 papers) and Tryptophan and brain disorders (3 papers). The work is most often cited by research in Geriatrics and Gerontology (112 citations), Biological Psychiatry (44 citations), Psychiatry and Mental health (218 citations), Toxicology (32 citations) and Pharmacology (127 citations). Gudrun Hefner has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Christoph Hiemke, A. Klimke, Tanja Falter, Stefan Unterecker, Sermin Toto, Jan Wolff, Mohamed E. E. Shams, Martina Hahn, Ursula Voss and Christian Freese. Their work appears in journals such as Journal of Neural Transmission, Pharmacopsychiatry, Frontiers in Psychiatry, Therapeutic Drug Monitoring and Psychopharmacology.

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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