Han L. Tan

934 total citations
21 papers, 598 citations indexed

About

Han L. Tan is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Han L. Tan has authored 21 papers receiving a total of 598 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cellular and Molecular Neuroscience, 6 papers in Molecular Biology and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Han L. Tan's work include Neuroscience and Neuropharmacology Research (11 papers), Neural dynamics and brain function (3 papers) and Photoreceptor and optogenetics research (3 papers). Han L. Tan is often cited by papers focused on Neuroscience and Neuropharmacology Research (11 papers), Neural dynamics and brain function (3 papers) and Photoreceptor and optogenetics research (3 papers). Han L. Tan collaborates with scholars based in United States, Netherlands and Taiwan. Han L. Tan's co-authors include Richard L. Huganir, Richard H. Roth, Qianwen Zhu, Bridget N. Queenan, Ingie Hong, Robert H. Cudmore, Yong Zhang, Shu‐Ling Chiu, Rudolph W. Koster and Marieke T. Blom and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Neuron.

In The Last Decade

Han L. Tan

18 papers receiving 591 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Han L. Tan United States 14 202 181 169 90 87 21 598
Bruno Van Deuren Belgium 12 192 1.0× 191 1.1× 166 1.0× 44 0.5× 18 0.2× 23 561
Kazuki Kijima Japan 11 276 1.4× 331 1.8× 63 0.4× 21 0.2× 122 1.4× 11 680
Juan J. Alburquerque-Béjar Spain 12 83 0.4× 371 2.0× 76 0.4× 45 0.5× 54 0.6× 16 1.1k
Erich Bürger Germany 13 187 0.9× 243 1.3× 46 0.3× 49 0.5× 116 1.3× 19 656
Roberto De Luca United States 15 117 0.6× 167 0.9× 54 0.3× 213 2.4× 36 0.4× 35 757
Kong Eric You-Ten Canada 14 509 2.5× 498 2.8× 81 0.5× 226 2.5× 273 3.1× 35 1.4k
Donald G. Brunder United States 12 86 0.4× 149 0.8× 41 0.2× 59 0.7× 61 0.7× 19 500
Neringa Paužienė Lithuania 20 182 0.9× 354 2.0× 706 4.2× 45 0.5× 43 0.5× 46 1.0k
Brian S. Tanaka United States 14 284 1.4× 286 1.6× 47 0.3× 96 1.1× 15 0.2× 18 684
Betty Y. Poon Canada 10 71 0.4× 98 0.5× 58 0.3× 110 1.2× 115 1.3× 12 583

Countries citing papers authored by Han L. Tan

Since Specialization
Citations

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

Fields of papers citing papers by Han L. Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Han L. Tan

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

All Works

20 of 20 papers shown
1.
2.
Tan, Han L., Luping Yin, Yuqi Tan, et al.. (2024). Leptin-activated hypothalamic BNC2 neurons acutely suppress food intake. Nature. 636(8041). 198–205. 21 indexed citations
3.
Graves, Austin R., Richard H. Roth, Han L. Tan, et al.. (2021). Visualizing synaptic plasticity in vivo by large-scale imaging of endogenous AMPA receptors. eLife. 10. 40 indexed citations
4.
Chen, Haiwen, et al.. (2021). AMPA Receptors Exist in Tunable Mobile and Immobile Synaptic FractionsIn Vivo. eNeuro. 8(3). ENEURO.0015–21.2021. 13 indexed citations
5.
6.
Tan, Han L., et al.. (2020). Tyrosine phosphorylation of the AMPA receptor subunit GluA2 gates homeostatic synaptic plasticity. Proceedings of the National Academy of Sciences. 117(9). 4948–4958. 22 indexed citations
7.
Tan, Han L., Richard H. Roth, Austin R. Graves, Robert H. Cudmore, & Richard L. Huganir. (2020). Lamina-specific AMPA receptor dynamics following visual deprivation in vivo. eLife. 9. 16 indexed citations
8.
Tan, Han L., Shu‐Ling Chiu, Qianwen Zhu, & Richard L. Huganir. (2020). GRIP1 regulates synaptic plasticity and learning and memory. Proceedings of the National Academy of Sciences. 117(40). 25085–25091. 52 indexed citations
9.
Roth, Richard H., Robert H. Cudmore, Han L. Tan, et al.. (2019). Cortical Synaptic AMPA Receptor Plasticity during Motor Learning. Neuron. 105(5). 895–908.e5. 81 indexed citations
10.
Huang, Ming, Han L. Tan, Rui Qin, et al.. (2017). Capsaicin protects cortical neurons against ischemia/reperfusion injury via down-regulating NMDA receptors. Experimental Neurology. 295. 66–76. 51 indexed citations
11.
Woo, Keng Thye, Cynthia Ciwei Lim, Marjorie Foo, et al.. (2016). 30-year follow-up study of IgA nephritis in a Southeast Asian population: an evaluation of the Oxford histological classification. Clinical Nephrology. 86(11). 270–278. 8 indexed citations
12.
Tan, Han L., Bridget N. Queenan, & Richard L. Huganir. (2015). GRIP1 is required for homeostatic regulation of AMPAR trafficking. Proceedings of the National Academy of Sciences. 112(32). 10026–10031. 55 indexed citations
13.
Queenan, Bridget N., Kyung‐Jin Lee, Han L. Tan, et al.. (2015). Mapping homeostatic synaptic plasticity using cable properties of dendrites. Neuroscience. 315. 206–216. 4 indexed citations
14.
Berdowski, Jocelyn, Marieke T. Blom, Abdenasser Bardai, et al.. (2013). Exercise-related out-of-hospital cardiac arrest in the general population: incidence and prognosis. European Heart Journal. 34(47). 3616–3623. 102 indexed citations
15.
Blom, Marieke T., Abdennasser Bardai, Patrick C. Souverein, et al.. (2013). Increased Risk of Sudden Cardiac Arrest in Obstructive Pulmonary Disease: A Case-Control Study. PLoS ONE. 8(6). e65638–e65638. 16 indexed citations
16.
Bilandzic, Maree, Simon Chu, Yao Wang, et al.. (2013). Betaglycan Alters NFκB-TGFβ2 Cross Talk to Reduce Survival of Human Granulosa Tumor Cells. Molecular Endocrinology. 27(3). 466–479. 23 indexed citations
17.
Duffels, M. G. J., Maxim Hardziyenka, Sulaiman Surie, et al.. (2008). Duration of right ventricular contraction predicts the efficacy of bosentan treatment in patients with pulmonary hypertension. European Journal of Echocardiography. 10(3). 433–438. 12 indexed citations
18.
Hardziyenka, Maxim, Herre J. Reesink, Berto J. Bouma, et al.. (2007). A novel echocardiographic predictor of in-hospital mortality and mid-term haemodynamic improvement after pulmonary endarterectomy for chronic thrombo-embolic pulmonary hypertension. European Heart Journal. 28(7). 842–849. 63 indexed citations
19.
Wilde, Arthur A.M. & Han L. Tan. (2004). One to one, one to two, two to one? What is the rhythm?. PubMed. 12(3). 123–138. 1 indexed citations
20.
Beck, S. C., Charles N. Paidas, Han L. Tan, Jie Yang, & Antonio De Maio. (1995). Depressed expression of the inducible form of HSP 70 (HSP 72) in brain and heart after in vivo heat shock. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 269(3). R608–R613. 17 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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