Daniela Gündisch

1.8k citations
50 papers · 1.5k · h-index 20

Impact in

Papers in

Daniela Gündisch

49 papers receiving 1.4k citations

Peers

Daniela Gündisch
Comparison fields: 5 of 102
  • Organic Chemistry 424
  • Cellular and Molecular Neuroscience 264
  • Molecular Biology 947
  • Pharmacology 221
  • Endocrine and Autonomic Systems 71
Replace William Thomsen with:
William Thomsen United States
Michael A. Beazely Canada
Surendra K. Puri United States
Geoffrey Stemp United Kingdom
F. Gualtieri Italy
Malliga R. Iyer United States
Alexander Scriabine United States
Vija Kluša Latvia
Maƚgorzata Dukat United States
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Citations per field
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Citations per year

Countries citing papers authored by Daniela Gündisch

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Gündisch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011325
2 2000161
3 1998115
4 201694
5 200965
6 200752
7 200248
8 201647
9 200340
10 200039
11 200237
12 199932
13 200431
14 200430
15 201129
16 200428
17 200024
18 201222
19 200621
20 200620

About Daniela Gündisch

Daniela Gündisch is a scholar working on Molecular Biology, Organic Chemistry, Pharmacology, Cellular and Molecular Neuroscience and Insect Science, having authored 50 papers that have together received 1.5k indexed citations. Recurring topics across this work include Nicotinic Acetylcholine Receptors Study (37 papers), Receptor Mechanisms and Signaling (24 papers), Synthesis and Biological Evaluation (11 papers), Cholinesterase and Neurodegenerative Diseases (11 papers), Insect and Pesticide Research (5 papers), Neurotransmitter Receptor Influence on Behavior (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Organic Chemistry (424 citations), Cellular and Molecular Neuroscience (264 citations), Molecular Biology (947 citations), Pharmacology (221 citations) and Endocrine and Autonomic Systems (71 citations). Daniela Gündisch has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Marina R. Picciotto, Edythe D. London, Alexey G. Mukhin, Andrei O. Koren, Andrew G. Horti, Yann S. Mineur, Alane S. Kimes, Dianqing Sun, Tamás L. Horváth and Mariella De Biasi. Their work appears in journals such as Bioorganic & Medicinal Chemistry, Journal of Radioanalytical and Nuclear Chemistry, Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry and Current Topics in Medicinal Chemistry.

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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