Weikan Wang

916 citations
21 papers · 659 · h-index 11

Impact in

Papers in

    • T-cell and B-cell Immunology 5
    • Immunotherapy and Immune Responses 4
    • Immune Cell Function and Interaction 3

Weikan Wang

20 papers receiving 645 citations

Peers

Weikan Wang
Comparison fields: 5 of 88
  • Biological Psychiatry 35
  • Neurology 99
  • Aging 21
  • Immunology 228
  • Neurology 66
Replace Gabriela Desdín-Micó with:
Gabriela Desdín-Micó Spain
Vanessa Frodermann Netherlands
Ailing Xue United States
Georgiana Crainiciuc Spain
Aisha Nair United States
Caterina Veroni Italy
Yann Dean United Kingdom
James O’Rourke United States
Zhaoqi Zhang China
Britt Lauenborg Denmark
Weikan Wang relative to Gabriela Desdín-Micó Spain Gabriela Desdín-Micó's profile →
Citations per field
00.5×1.5×2.2×
Gabriela Desdín-Micó · 1×
Citations per year

Countries citing papers authored by Weikan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Weikan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020308
2 201860
3 201943
4 202039
5 201738
6 202134
7 201632
8 202028
9 202119
10 201515
11 202210
12 202010
13 20217
14 20206
15 20222
16 20242
17 20172
18 20241
19 20201
20 20211

About Weikan Wang

Weikan Wang is a scholar working on Immunology, Molecular Biology, Ocean Engineering, Neurology and Psychiatry and Mental health, having authored 21 papers that have together received 659 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Immunotherapy and Immune Responses (4 papers), Hydraulic Fracturing and Reservoir Analysis (4 papers), Oil and Gas Production Techniques (3 papers), Immune Cell Function and Interaction (3 papers), Reservoir Engineering and Simulation Methods (3 papers) and Migraine and Headache Studies (2 papers). The work is most often cited by research in Biological Psychiatry (35 citations), Neurology (99 citations), Aging (21 citations), Immunology (228 citations) and Neurology (66 citations). Weikan Wang has collaborated with scholars based in United States, China and British Virgin Islands. Frequent co-authors include Dong‐Ming Su, Rachel Thomas, Jiyoung Oh, Liefeng Wang, Qichuan Zhuge, Olga Sizova, Linhui Ruan, Qichuan Zhuge, Jiyoung Oh and Saidan Ding. Their work appears in journals such as The FASEB Journal, JCI Insight, Molecular Neurobiology, Stem Cell Research & Therapy and Immunology.

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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