Kang Han

1.4k citations
19 papers · 1.0k indexed · 1 hit paper · h-index 11
Topics
MicroRNA in disease regulation (4 papers)Circular RNAs in diseases (4 papers)Ubiquitin and proteasome pathways (3 papers)

In The Last Decade

Kang Han

18 papers receiving 1.0k citations

Hit Papers

Tumour-cell-induced endothelial cell necroptosis via deat...20162026201920222016100200300

Peers

Kang Han
Comparison fields: 5 of 97
  • Molecular Biology 706
  • Cancer Research 420
  • Oncology 187
  • Pulmonary and Respiratory Medicine 156
  • Immunology 128
Replace Juanjuan Ou with:
Juanjuan Ou China
Satoko Ito Japan
Vito D’Agostino Italy
Chia‐Yi Su Taiwan
Radia Marie Johnson Canada
Meng Hou China
Robert S. Banh United States
Weiguang Zhao United States
Xiaolin Lin China
Ye Wu China
Kang Han relative to Juanjuan Ou China Juanjuan Ou's profile →
Citations per field
00.5×1.5×2.3×
Juanjuan Ou · 1×
Citations per year

Countries citing papers authored by Kang Han

Since Specialization
Citations

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

Fields of papers citing papers by Kang Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kang Han

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 2
2 0
3 9
4 3
5 22
6 35
7 15
8 133
9 61
10 26
11 6
12 47
13
Tumour-cell-induced endothelial cell necroptosis via death receptor 6 promotes metastasisbreakdown →
397
14 6
15 72
16 58
17 119
18 8
19
[A case of the ruptured splenic artery aneurysm treated with transcatheter embolization].
2

About Kang Han

Kang Han is a scholar working on Cancer Research, Geriatrics and Gerontology and Molecular Biology, having authored 19 papers that have together received 1.0k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (4 papers), Circular RNAs in diseases (4 papers) and Ubiquitin and proteasome pathways (3 papers). The work is most often cited by research in Cancer Research (420 citations), Molecular Biology (706 citations) and Oncology (187 citations). Kang Han has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Ulrike Müller, Lida Yang, Stefan Offermanns, Julián Albarrán-Juárez, Laurens Wachsmuth, Manolis Pasparakis, Boris Strilić, Tong-Tao Yang, Qingyu Fan and Yong Zhou. Their work appears in journals such as Nature, The Journal of Cell Biology and The EMBO Journal.

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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