Wei Han

2.6k citations
76 papers · 2.3k · h-index 21

Impact in

Papers in

    • NF-κB Signaling Pathways 9
    • Cancer, Hypoxia, and Metabolism 5
    • Cancer-related molecular mechanisms research 4
    • Immune Response and Inflammation 14
    • Immunotherapy and Immune Responses 5

Wei Han

72 papers receiving 2.2k citations

Peers

Wei Han
Comparison fields: 5 of 115
  • Cancer Research 375
  • Immunology 511
  • Molecular Biology 866
  • Genetics 128
  • Oncology 275
Replace Kang Liu with:
Kang Liu China
Jaehyung Cho United States
Jianda Zhou China
Elizabeth S. Ingham United States
Zhen Dong Huang China
Juan Xia China
Yen‐Hua Huang Taiwan
Yumin Xia China
Suzanne Ménashi France
Bo Huang China
Wei Han relative to Kang Liu China Kang Liu's profile →
Citations per field
00.5×1.5×2.2×
Kang Liu · 1×
Citations per year

Countries citing papers authored by Wei Han

Since Specialization
Citations

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

Fields of papers citing papers by Wei Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Wei 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 Wei Han Line = papers co-authored together Wei Han links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018294
2 2007175
3 2007155
4 2011127
5 2011122
6 2011105
7 201299
8 201195
9 201695
10 200888
11 200382
12 200582
13 201372
14 200854
15 201839
16 199334
17 201232
18 200724
19 201524
20
[Levofloxacin-based triple therapy for first-line Helicobacter pylori eradication treatment: a multi-central, randomized, controlled clinical study].
201023

About Wei Han

Wei Han is a scholar working on Cancer Research, Immunology, Molecular Biology, Oncology and Genetics, having authored 76 papers that have together received 2.3k indexed citations. Recurring topics across this work include Immune Response and Inflammation (14 papers), NF-κB Signaling Pathways (9 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Cancer, Hypoxia, and Metabolism (5 papers), Animal Genetics and Reproduction (5 papers), Immunotherapy and Immune Responses (5 papers), Cytokine Signaling Pathways and Interactions (4 papers) and Cancer-related molecular mechanisms research (4 papers). The work is most often cited by research in Cancer Research (375 citations), Immunology (511 citations), Molecular Biology (866 citations), Genetics (128 citations) and Oncology (275 citations). Wei Han has collaborated with scholars based in China, United States and Greece. Frequent co-authors include Timothy S. Blackwell, Fiona E. Yull, Vasiliy V. Polosukhin, Taylor P. Sherrill, Georgios T. Stathopoulos, Linda A. Gleaves, Dong‐Sheng Cheng, Barbara Fingleton, Yingqi Zhang and Shuming Dong. Their work appears in journals such as The Journal of Immunology, Protein Expression and Purification, BioMed Research International, Cellular Immunology and Molecular and Cellular Biology.

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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