Gertraud Hanft

1.7k citations
27 papers · 1.4k · h-index 18

Impact in

Papers in

Gertraud Hanft

27 papers receiving 1.3k citations

Peers

Gertraud Hanft
Comparison fields: 5 of 94
  • Cellular and Molecular Neuroscience 398
  • Cell Biology 226
  • Molecular Biology 858
  • Biochemistry 80
  • Oncology 281
Replace Nathalie Blin with:
Nathalie Blin France
Anne-Laure Lattion Switzerland
Kuniko Horie Japan
Herman Meurs Netherlands
Márta Zarándi United States
M Noble United Kingdom
Guenther Haeusler Austria
Jean‐Michel Longpré Canada
Angela Wirth Germany
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Citations per field
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Citations per year

Countries citing papers authored by Gertraud Hanft

Since Specialization
Citations

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

Fields of papers citing papers by Gertraud Hanft

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989195
2 1988191
3 2008146
4 201095
5 201093
6 200778
7 198767
8 199453
9 200352
10 199050
11 200444
12 199437
13 198937
14
Efficacy and safety of meloxicam in patients with rheumatoid arthritis.
199735
15 198935
16 200134
17 198821
18 199020
19 198814
20 200814

About Gertraud Hanft

Gertraud Hanft is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Oncology, Cell Biology and Physiology, having authored 27 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (11 papers), Receptor Mechanisms and Signaling (10 papers), Neuropeptides and Animal Physiology (4 papers), Microtubule and mitosis dynamics (4 papers), Adipose Tissue and Metabolism (3 papers), Inflammatory mediators and NSAID effects (3 papers), Eicosanoids and Hypertension Pharmacology (3 papers) and Pharmacological Effects and Assays (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (398 citations), Cell Biology (226 citations), Molecular Biology (858 citations), Biochemistry (80 citations) and Oncology (281 citations). Gertraud Hanft has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Gerhard Groß, Norbert Kolassa, Herbert Riechelmann, Karl Hoermann, Alexander Sauter, Silke Gronau, MartinC. Michel, Gerd Munzert, Holger Fritsch and H. Maximilian Mehdorn. Their work appears in journals such as Naunyn-Schmiedeberg s Archives of Pharmacology, British Journal of Pharmacology, European Journal of Pharmacology, Journal of Clinical Oncology and Journal of Cardiovascular 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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