Dimitri Tränkner

1.5k citations
8 papers · 1.1k · 1 hit paper · h-index 6

Impact in

Papers in

Dimitri Tränkner

8 papers receiving 1.1k citations

Dimitri Tränkner's Hit Papers

The cells and logic for mammalian sour taste detection 2006 · 620 citations
6200+6+13Years since publication200400600

Peers

Dimitri Tränkner
Comparison fields: 5 of 83
  • Sensory Systems 568
  • Nutrition and Dietetics 554
  • Endocrine and Autonomic Systems 138
  • Cellular and Molecular Neuroscience 220
  • Developmental Neuroscience 31
Replace Suzanne I. Sollars with:
Suzanne I. Sollars United States
Kristal R. Tucker United States
Fangli Zhao United States
Weihong Lin United States
Andrew H. Moberly United States
Anan Li China
Pascaline Aimé United States
Robert F. Lundy United States
Stéphan Vigues France
Isabel Úbeda‐Bañón Spain
Dimitri Tränkner relative to Suzanne I. Sollars United States Suzanne I. Sollars's profile →
Citations per field
00.5×5.2×
Suzanne I. Sollars · 1×
Citations per year

Countries citing papers authored by Dimitri Tränkner

Since Specialization
Citations

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

Fields of papers citing papers by Dimitri Tränkner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1
The cells and logic for mammalian sour taste detection
Hit paper breakdown →
2006620
2 2014181
3 2015168
4 200451
5 201950
6 201926
7 20251
8 20081

About Dimitri Tränkner

Dimitri Tränkner is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Sensory Systems, Neurology and Nutrition and Dietetics, having authored 8 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (3 papers), Retinal Development and Disorders (2 papers), Biochemical Analysis and Sensing Techniques (2 papers), Olfactory and Sensory Function Studies (2 papers), Photoreceptor and optogenetics research (2 papers), Advanced Chemical Sensor Technologies (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Neurogenesis and neuroplasticity mechanisms (1 paper). The work is most often cited by research in Sensory Systems (568 citations), Nutrition and Dietetics (554 citations), Endocrine and Autonomic Systems (138 citations), Cellular and Molecular Neuroscience (220 citations) and Developmental Neuroscience (31 citations). Dimitri Tränkner has collaborated with scholars based in United States, Germany and Russia. Frequent co-authors include Charles S. Zuker, Mark A. Hoon, Nicholas J. P. Ryba, Jayaram Chandrashekar, Xiaoke Chen, Wei Guo, Ken Sugino, Hao Jin, Yueqing Peng and Lindsay T. Sharpe. Their work appears in journals such as Journal of Neuroscience, Nature, Proceedings of the National Academy of Sciences, Cell Reports and eLife.

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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