Liang Han

3.9k total citations · 2 hit papers
42 papers, 2.8k citations indexed

About

Liang Han is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Liang Han has authored 42 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 12 papers in Physiology and 10 papers in Cellular and Molecular Neuroscience. Recurrent topics in Liang Han's work include Dermatology and Skin Diseases (10 papers), Pain Mechanisms and Treatments (6 papers) and Allergic Rhinitis and Sensitization (5 papers). Liang Han is often cited by papers focused on Dermatology and Skin Diseases (10 papers), Pain Mechanisms and Treatments (6 papers) and Allergic Rhinitis and Sensitization (5 papers). Liang Han collaborates with scholars based in United States, China and Australia. Liang Han's co-authors include Xinzhong Dong, Benjamin D. McNeil, Bradley J. Undem, Sonya Meeker, Marianna Kulka, Priyanka Pundir, Zhe Li, Chao Ma, Robert H. LaMotte and Qin Liu and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Liang Han

39 papers receiving 2.8k citations

Hit Papers

Identification of a mast-... 2012 2026 2016 2021 2014 2012 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Identification of a mast-cell-specific receptor crucial for pseudo-allergic drug reactions
    2014 884 citations Benjamin D. McNeil, Priyanka Pundir et al. Nature profile →
  2. A subpopulation of nociceptors specifically linked to itch
    2012 427 citations Liang Han, Chao Ma et al. Nature Neuroscience profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liang Han United States 21 1.0k 785 756 701 642 42 2.8k
Benjamin D. McNeil United States 15 801 0.8× 531 0.7× 1.0k 1.4× 853 1.2× 684 1.1× 16 2.6k
Tasuku Akiyama United States 26 934 0.9× 2.1k 2.7× 271 0.4× 280 0.4× 807 1.3× 70 2.7k
Bodi Zhang United States 19 398 0.4× 264 0.3× 1.1k 1.4× 423 0.6× 302 0.5× 23 2.1k
Sébastien Talbot Canada 26 636 0.6× 204 0.3× 395 0.5× 371 0.5× 151 0.2× 78 1.8k
Sumiko Denda Japan 21 279 0.3× 349 0.4× 101 0.1× 753 1.1× 334 0.5× 32 1.9k
Dirk Roosterman Germany 21 316 0.3× 290 0.4× 121 0.2× 800 1.1× 105 0.2× 30 1.9k
Sandra Chang United States 20 246 0.2× 713 0.9× 300 0.4× 717 1.0× 203 0.3× 23 2.1k
Yoshihiko Chiba Japan 32 1.3k 1.3× 57 0.1× 501 0.7× 1.4k 2.0× 148 0.2× 189 3.5k
J Cermák United States 22 262 0.3× 237 0.3× 125 0.2× 272 0.4× 133 0.2× 32 1.7k
See‐Ying Tam United States 25 359 0.3× 66 0.1× 578 0.8× 1.2k 1.8× 207 0.3× 42 2.7k

Countries citing papers authored by Liang Han

Since Specialization
Citations

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

Fields of papers citing papers by Liang Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang Han

This figure shows the co-authorship network connecting the top 25 collaborators of Liang Han. A scholar is included among the top collaborators of Liang Han 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 Liang Han. Liang Han 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.
Cole, Emily, Yanyan Xing, Liang Han, et al.. (2024). Exploring Pruritus in Bullous Pemphigoid: Analysis of QOL Metrics and Potential Biological Mechanisms. SHILAP Revista de lepidopterología. 5(2). 100329–100329.
3.
4.
Han, Liang, et al.. (2020). The signaling pathway and polymorphisms of Mrgprs. Neuroscience Letters. 744. 135562–135562. 12 indexed citations
5.
Xing, Yanyan, et al.. (2020). Visualizing the Itch-Sensing Skin Arbors. Journal of Investigative Dermatology. 141(5). 1308–1316. 12 indexed citations
6.
Sun, Miaomiao, et al.. (2019). Mitochondrial genome evidence suggests Cooperia sp. from China may represent a distinct species from Cooperia oncophora from Australia. Parasitology International. 75. 102001–102001. 2 indexed citations
7.
Han, Liang, Nathachit Limjunyawong, Fei Ru, et al.. (2018). Mrgprs on vagal sensory neurons contribute to bronchoconstriction and airway hyper-responsiveness. Nature Neuroscience. 21(3). 324–328. 56 indexed citations
8.
Sun, Miaomiao, Liang Han, Fu-Kai Zhang, et al.. (2017). Characterization of the complete mitochondrial genome of Marshallagia marshalli and phylogenetic implications for the superfamily Trichostrongyloidea. Parasitology Research. 117(1). 307–313. 8 indexed citations
9.
Wang, Gang, Gang Wang, Mingyu Zhong, et al.. (2017). E+ subgroup PPR protein defective kernel 36 is required for multiple mitochondrial transcripts editing and seed development in maize and Arabidopsis. New Phytologist. 214(4). 1563–1578. 72 indexed citations
10.
Lieu, TinaMarie, et al.. (2016). Parainfluenza 3-Induced Cough Hypersensitivity in the Guinea Pig Airways. PLoS ONE. 11(5). e0155526–e0155526. 31 indexed citations
11.
12.
Han, Liang, Dehua Liu, Zhaohui Li, et al.. (2015). HOXB1 Is a Tumor Suppressor Gene Regulated by miR-3175 in Glioma. PLoS ONE. 10(11). e0142387–e0142387. 29 indexed citations
13.
McNeil, Benjamin D., Priyanka Pundir, Sonya Meeker, et al.. (2014). Identification of a mast-cell-specific receptor crucial for pseudo-allergic drug reactions. Nature. 519(7542). 237–241. 884 indexed citations breakdown →
14.
Qu, Lintao, Ni Fan, Chao Ma, et al.. (2014). Enhanced excitability of MRGPRA3- and MRGPRD-positive nociceptors in a model of inflammatory itch and pain. Brain. 137(4). 1039–1050. 86 indexed citations
15.
Liu, Qin, Parul Sikand, Chao Ma, et al.. (2012). Mechanisms of Itch Evoked by β-Alanine. Journal of Neuroscience. 32(42). 14532–14537. 241 indexed citations
16.
Han, Liang, Chao Ma, Qin Liu, et al.. (2012). A subpopulation of nociceptors specifically linked to itch. Nature Neuroscience. 16(2). 174–182. 427 indexed citations breakdown →
17.
Han, Liang. (1995). ON THE EVOLUTION AND DISTRIBUTION IN SAURURACEAE. Acta Botanica Yunnanica. 20 indexed citations
18.
Han, Liang. (1993). THE CHROMOSOME NUMBERS OF ADOXACEAE AND THEIR SYSTEMATIC SIGNIFICANCE. Acta Botanica Yunnanica. 1 indexed citations
19.
Han, Liang. (1993). KARYOTYPE ANALYSIS OF ADOXA ORIENTALIS. Acta Botanica Yunnanica. 2 indexed citations
20.
Han, Liang. (1991). KARYOMORPHOLOGY OF GYMNOTHECA AND PHYLOGENY OF FOUR GENERA IN SAURURACEAE. Acta Botanica Yunnanica. 4 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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