Chenda Kan

950 total citations
10 papers, 604 citations indexed

About

Chenda Kan is a scholar working on Sensory Systems, Nutrition and Dietetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Chenda Kan has authored 10 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Sensory Systems, 6 papers in Nutrition and Dietetics and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Chenda Kan's work include Olfactory and Sensory Function Studies (7 papers), Biochemical Analysis and Sensing Techniques (6 papers) and Neurobiology and Insect Physiology Research (5 papers). Chenda Kan is often cited by papers focused on Olfactory and Sensory Function Studies (7 papers), Biochemical Analysis and Sensing Techniques (6 papers) and Neurobiology and Insect Physiology Research (5 papers). Chenda Kan collaborates with scholars based in Switzerland and United States. Chenda Kan's co-authors include Iván Rodríguez, Daniel Rossier, Alan Carleton, Madlaina Boillat, Joël Tuberosa, Yves Donati, Basile N. Landis, Kristóf Égervári, Leon Fodoulian and Johannes Alexander Lobrinus and has published in prestigious journals such as The EMBO Journal, Nature Neuroscience and Development.

In The Last Decade

Chenda Kan

10 papers receiving 594 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chenda Kan Switzerland 9 268 164 157 113 101 10 604
Sagit Shushan Israel 13 301 1.1× 99 0.6× 127 0.8× 30 0.3× 18 0.2× 24 577
Keijiro Fukazawa Japan 15 388 1.4× 64 0.4× 133 0.8× 28 0.2× 54 0.5× 45 631
Mari Arai Japan 15 62 0.2× 177 1.1× 20 0.1× 36 0.3× 73 0.7× 31 925
You Zhou China 19 62 0.2× 92 0.6× 54 0.3× 36 0.3× 56 0.6× 43 844
Tomoko Makishima United States 22 700 2.6× 41 0.3× 58 0.4× 40 0.4× 20 0.2× 37 1.3k
Kazuma Sugahara Japan 19 349 1.3× 47 0.3× 52 0.3× 16 0.1× 54 0.5× 63 871
Á. Németh Hungary 18 52 0.2× 193 1.2× 30 0.2× 21 0.2× 53 0.5× 59 764
Christopher M. Weber United States 12 216 0.8× 118 0.7× 43 0.3× 19 0.2× 32 0.3× 16 1.4k
F. E. Sherriff United Kingdom 14 84 0.3× 233 1.4× 32 0.2× 394 3.5× 61 0.6× 17 1.0k
Anna Reynolds Australia 13 525 2.0× 226 1.4× 67 0.4× 19 0.2× 9 0.1× 26 1.0k

Countries citing papers authored by Chenda Kan

Since Specialization
Citations

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

Fields of papers citing papers by Chenda Kan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenda Kan

This figure shows the co-authorship network connecting the top 25 collaborators of Chenda Kan. A scholar is included among the top collaborators of Chenda Kan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chenda Kan. Chenda Kan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Tuberosa, Joël, Leon Fodoulian, Madlaina Boillat, et al.. (2022). Clustering of vomeronasal receptor genes is required for transcriptional stability but not for choice. Science Advances. 8(46). eabn7450–eabn7450. 4 indexed citations
2.
Fodoulian, Leon, Joël Tuberosa, Daniel Rossier, et al.. (2020). SARS-CoV-2 Receptors and Entry Genes Are Expressed in the Human Olfactory Neuroepithelium and Brain. iScience. 23(12). 101839–101839. 185 indexed citations
4.
Rossier, Daniel, Joël Tuberosa, Alexandre Widmer, et al.. (2015). Large-scale transcriptional profiling of chemosensory neurons identifies receptor-ligand pairs in vivo. Nature Neuroscience. 18(10). 1455–1463. 102 indexed citations
5.
Boillat, Madlaina, et al.. (2015). The Vomeronasal System Mediates Sick Conspecific Avoidance. Current Biology. 25(2). 251–255. 88 indexed citations
6.
Matsuo, Tomohiko, Daniel Rossier, Chenda Kan, & Iván Rodríguez. (2012). The wiring of Grueneberg ganglion axons is dependent on neuropilin 1. Development. 139(15). 2783–2791. 20 indexed citations
7.
Roppolo, Daniele, et al.. (2007). Gene cluster lock after pheromone receptor gene choice. The EMBO Journal. 26(14). 3423–3430. 42 indexed citations
8.
Argiroffo, Constance Barazzone, Yves Donati, Julien Boccard, et al.. (2002). CD40-CD40 Ligand Disruption Does Not Prevent Hyperoxia-Induced Injury. American Journal Of Pathology. 160(1). 67–71. 10 indexed citations
9.
Barazzone‐Argiroffo, Constance, Patrick Muzzin, Yves Donati, et al.. (2001). Hyperoxia increases leptin production: a mechanism mediated through endogenous elevation of corticosterone. American Journal of Physiology-Lung Cellular and Molecular Physiology. 281(5). L1150–L1156. 33 indexed citations
10.
Barazzone, Constance, Yves Donati, Anne Rochat, et al.. (1999). Keratinocyte Growth Factor Protects Alveolar Epithelium and Endothelium from Oxygen-Induced Injury in Mice. American Journal Of Pathology. 154(5). 1479–1487. 104 indexed citations

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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