Cong Han

2.8k citations
93 papers · 1.8k · h-index 23

Impact in

Papers in

    • Moyamoya disease diagnosis and treatment 51
    • Intracranial Aneurysms: Treatment and Complications 15
    • Intracerebral and Subarachnoid Hemorrhage Research 5
    • Cerebrovascular and genetic disorders 4

Cong Han

91 papers receiving 1.8k citations

Peers

Cong Han
Comparison fields: 5 of 114
  • Rheumatology 849
  • Biological Psychiatry 121
  • Neurology 337
  • Behavioral Neuroscience 82
  • Psychiatry and Mental health 282
Replace Beate Kiese with:
Beate Kiese Switzerland
Aviva Katzav Israel
André Huss Germany
Maria‐Eleftheria Evangelopoulos Greece
Jar-Chi Lee United States
Milena Z. Adzemovic Sweden
Yong Cao China
Zhenyu Zhong China
Cinzia Valeria Russo Italy
Shuting Xia United States
Cong Han relative to Beate Kiese Switzerland Beate Kiese's profile →
Citations per field
00.5×11.3×
Beate Kiese · 1×
Citations per year

Countries citing papers authored by Cong Han

Since Specialization
Citations

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

Fields of papers citing papers by Cong Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Cong Han, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Cong Han Line = papers co-authored together Cong Han links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009170
2 2011147
3 201594
4 201693
5 201881
6 201167
7 201265
8 201964
9 201461
10 202149
11 201548
12 201341
13 201438
14 201436
15 202131
16 201831
17 201730
18 202228
19 201027
20 201426

About Cong Han

Cong Han is a scholar working on Rheumatology, Neurology, Molecular Biology, Psychiatry and Mental health and Pulmonary and Respiratory Medicine, having authored 93 papers that have together received 1.8k indexed citations. Recurring topics across this work include Moyamoya disease diagnosis and treatment (51 papers), Intracranial Aneurysms: Treatment and Complications (15 papers), Neurological Complications and Syndromes (13 papers), Cerebrovascular and Carotid Artery Diseases (7 papers), Intracerebral and Subarachnoid Hemorrhage Research (5 papers), Ubiquitin and proteasome pathways (4 papers), Cerebrovascular and genetic disorders (4 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Rheumatology (849 citations), Biological Psychiatry (121 citations), Neurology (337 citations), Behavioral Neuroscience (82 citations) and Psychiatry and Mental health (282 citations). Cong Han has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Lian Duan, Wei-Zhong Yang, Xiang‐Yang Bao, Zhengshan Zhang, Desheng Li, Rui Zong, B.E. Leonard, Haiyan Luo, Uriel Halbreich and Feng Zhao. Their work appears in journals such as Stroke, European Radiology, PLoS ONE, Translational Stroke Research and Journal of Magnetic Resonance Imaging.

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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