Lanlan Wang

575 citations
35 papers · 377 · h-index 11

Impact in

    • Systemic Lupus Erythematosus Research
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction

Papers in

Lanlan Wang

31 papers receiving 374 citations

Peers

Lanlan Wang
Comparison fields: 5 of 81
  • Rheumatology 70
  • Immunology 91
  • Rehabilitation 29
  • Genetics 32
  • Transplantation 7
Replace Anastasios D. Giannou with:
Anastasios D. Giannou Germany
Anna Wardowska Poland
Hangtian Wu China
Yuji Amano Japan
Fengbiao Guo China
Norman‐Philipp Hoff Germany
Sunil Dhawan United States
H. Müller Germany
Yu‐Kun Zhao China
Haojie Shan China
Lanlan Wang relative to Anastasios D. Giannou Germany Anastasios D. Giannou's profile →
Citations per field
00.5×3.2×
Anastasios D. Giannou · 1×
Citations per year

Countries citing papers authored by Lanlan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Lanlan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202146
2 200645
3 201143
4 201741
5 201926
6 201625
7 201724
8
Double positive CD4+CD8+ T cells: key suppressive role in the production of autoantibodies in systemic lupus erythematosus.
201417
9 201515
10 201512
11 202212
12 201110
13 20149
14 20167
15 20125
16 20185
17 20155
18 20164
19 20243
20 20213

About Lanlan Wang

Lanlan Wang is a scholar working on Molecular Biology, Rheumatology, Radiology, Nuclear Medicine and Imaging, Epidemiology and Immunology, having authored 35 papers that have together received 377 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (6 papers), Systemic Lupus Erythematosus Research (6 papers), T-cell and B-cell Immunology (3 papers), Pregnancy and preeclampsia studies (3 papers), Hepatitis C virus research (3 papers), Hepatitis B Virus Studies (2 papers), Immune Cell Function and Interaction (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Rheumatology (70 citations), Immunology (91 citations), Rehabilitation (29 citations), Genetics (32 citations) and Transplantation (7 citations). Lanlan Wang has collaborated with scholars based in China, Netherlands and Australia. Frequent co-authors include Bei Cai, Yongkang Wu, Carla C. Baan, Yunying Shi, Jie Chen, Chen Xue, Lin Yan, Yao Chen, Jiangtao Tang and Yuangao Zou. Their work appears in journals such as Medicine, Journal of Clinical Laboratory Analysis, International Journal of Medical Sciences, International Journal of Biological Macromolecules and Biochemistry and Cell 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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