Han Chin Wang

1.1k total citations
9 papers, 733 citations indexed

About

Han Chin Wang is a scholar working on Cellular and Molecular Neuroscience, Sensory Systems and Cognitive Neuroscience. According to data from OpenAlex, Han Chin Wang has authored 9 papers receiving a total of 733 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cellular and Molecular Neuroscience, 6 papers in Sensory Systems and 4 papers in Cognitive Neuroscience. Recurrent topics in Han Chin Wang's work include Hearing, Cochlea, Tinnitus, Genetics (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Neural dynamics and brain function (3 papers). Han Chin Wang is often cited by papers focused on Hearing, Cochlea, Tinnitus, Genetics (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Neural dynamics and brain function (3 papers). Han Chin Wang collaborates with scholars based in United States, Netherlands and Germany. Han Chin Wang's co-authors include Dwight E. Bergles, Nicolas X. Tritsch, Adrián Rodríguez‐Contreras, J. Gerard G. Borst, Travis A. Babola, Brian J. Lee, Michael C. Crair, John B. Issa, Sally Li and Alexandra Gribizis and has published in prestigious journals such as Nature, Cell and Nature Communications.

In The Last Decade

Han Chin Wang

9 papers receiving 730 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Han Chin Wang United States	8	390	349	268	224	161	9	733
Alfonso junior Apicella United States	15	519 1.3×	171 0.5×	288 1.1×	198 0.9×	304 1.9×	21	998
Lukas Mesik United States	10	652 1.7×	183 0.5×	733 2.7×	213 1.0×	85 0.5×	11	1.1k
Gordon M. Shepherd United States	8	473 1.2×	152 0.4×	251 0.9×	378 1.7×	273 1.7×	8	1.1k
Yoh Isogai United States	8	362 0.9×	218 0.6×	161 0.6×	314 1.4×	44 0.3×	10	808
Tetsufumi Ito Japan	15	306 0.8×	445 1.3×	448 1.7×	110 0.5×	36 0.2×	50	861
Kevin Yackle United States	10	270 0.7×	166 0.5×	292 1.1×	298 1.3×	318 2.0×	12	980
Markus Rothermel Germany	17	488 1.3×	437 1.3×	161 0.6×	156 0.7×	46 0.3×	38	847
Longwen Huang United States	12	245 0.6×	122 0.3×	111 0.4×	186 0.8×	37 0.2×	14	596
Zhihui Liu China	12	396 1.0×	100 0.3×	344 1.3×	273 1.2×	62 0.4×	24	899
Nicolas Torquet France	14	196 0.5×	164 0.5×	244 0.9×	201 0.9×	39 0.2×	17	752

Countries citing papers authored by Han Chin Wang

Since Specialization

Citations

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

Fields of papers citing papers by Han Chin Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Han Chin Wang. 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 Han Chin Wang. The network helps show where Han Chin Wang may publish in the future.

Co-authorship network of co-authors of Han Chin Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Han Chin Wang. A scholar is included among the top collaborators of Han Chin Wang 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 Han Chin Wang. Han Chin Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Wang, Han Chin & Daniel E. Feldman. (2024). Degraded tactile coding in the Cntnap2 mouse model of autism. Cell Reports. 43(8). 114612–114612. 2 indexed citations

2.

Monday, Hannah R., Han Chin Wang, & Daniel E. Feldman. (2023). Circuit-level theories for sensory dysfunction in autism: convergence across mouse models. Frontiers in Neurology. 14. 1254297–1254297. 11 indexed citations

3.

Wang, Han Chin, et al.. (2022). Tuning instability of non-columnar neurons in the salt-and-pepper whisker map in somatosensory cortex. Nature Communications. 13(1). 6611–6611. 14 indexed citations

4.

Babola, Travis A., Calvin J. Kersbergen, Han Chin Wang, & Dwight E. Bergles. (2020). Purinergic signaling in cochlear supporting cells reduces hair cell excitability by increasing the extracellular space. eLife. 9. 35 indexed citations

5.

Babola, Travis A., Sally Li, Alexandra Gribizis, et al.. (2018). Homeostatic Control of Spontaneous Activity in the Developing Auditory System. Neuron. 99(3). 511–524.e5. 110 indexed citations

6.

Wang, Han Chin, Chun‐Chieh Lin, Rockie Chong, et al.. (2015). Spontaneous Activity of Cochlear Hair Cells Triggered by Fluid Secretion Mechanism in Adjacent Support Cells. Cell. 163(6). 1348–1359. 96 indexed citations

7.

Wang, Han Chin & Dwight E. Bergles. (2014). Spontaneous activity in the developing auditory system. Cell and Tissue Research. 361(1). 65–75. 88 indexed citations

8.

Xue, Tian, Michael Tri H., Angelo Riccio, et al.. (2011). Melanopsin signalling in mammalian iris and retina. Nature. 479(7371). 67–73. 213 indexed citations

9.

Tritsch, Nicolas X., et al.. (2010). Calcium action potentials in hair cells pattern auditory neuron activity before hearing onset. Nature Neuroscience. 13(9). 1050–1052. 164 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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