Liang Han

3.9k citations
42 papers · 2.8k indexed · 2 hit papers · h-index 21
Topics
Dermatology and Skin Diseases (10 papers)Pain Mechanisms and Treatments (6 papers)Allergic Rhinitis and Sensitization (5 papers)

In The Last Decade

Liang Han

39 papers receiving 2.8k citations

Hit Papers

Identification of a mast-cell-specific receptor crucial f...201220262016202120142012250500750

Peers

Liang Han
Comparison fields: 5 of 107
  • Physiology 1.0k
  • Dermatology 785
  • Immunology 756
  • Molecular Biology 701
  • Immunology and Allergy 642
Replace Benjamin D. McNeil with:
Benjamin D. McNeil United States
Tasuku Akiyama United States
Bodi Zhang United States
Sébastien Talbot Canada
Sumiko Denda Japan
Dirk Roosterman Germany
Sandra Chang United States
Yoshihiko Chiba Japan
Lan Bao China
See‐Ying Tam United States
Liang Han relative to Benjamin D. McNeil United States Benjamin D. McNeil's profile →
Citations per field
00.5×1.5×
Benjamin D. McNeil · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 0
3 0
4 12
5 12
6 2
7 56
8 8
9 72
10 49
11 29
12
Identification of a mast-cell-specific receptor crucial for pseudo-allergic drug reactionsbreakdown →
884
13 38
14 241
15
A subpopulation of nociceptors specifically linked to itchbreakdown →
427
16 63
17
ON THE EVOLUTION AND DISTRIBUTION IN SAURURACEAE
20
18
THE CHROMOSOME NUMBERS OF ADOXACEAE AND THEIR SYSTEMATIC SIGNIFICANCE
1
19
KARYOTYPE ANALYSIS OF ADOXA ORIENTALIS
2
20
KARYOMORPHOLOGY OF GYMNOTHECA AND PHYLOGENY OF FOUR GENERA IN SAURURACEAE
4

About Liang Han

Liang Han is a scholar working on Sensory Systems, Dermatology and Immunology and Allergy, having authored 42 papers that have together received 2.8k indexed citations. Recurring topics across this work include Dermatology and Skin Diseases (10 papers), Pain Mechanisms and Treatments (6 papers) and Allergic Rhinitis and Sensitization (5 papers). The work is most often cited by research in Immunology and Allergy (642 citations), Dermatology (785 citations) and Sensory Systems (425 citations). Liang Han has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Xinzhong Dong, Benjamin D. McNeil, Bradley J. Undem, Priyanka Pundir, Marianna Kulka, Sonya Meeker, Zhe Li, Robert H. LaMotte, Chao Ma and Qin Liu. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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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