Shuyan Wang

1.3k total citations · 1 hit paper
7 papers, 1.1k citations indexed

About

Shuyan Wang is a scholar working on Immunology, Infectious Diseases and Oncology. According to data from OpenAlex, Shuyan Wang has authored 7 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 1 paper in Infectious Diseases and 1 paper in Oncology. Recurrent topics in Shuyan Wang's work include Immune Cell Function and Interaction (3 papers), Reproductive System and Pregnancy (2 papers) and Immune Response and Inflammation (2 papers). Shuyan Wang is often cited by papers focused on Immune Cell Function and Interaction (3 papers), Reproductive System and Pregnancy (2 papers) and Immune Response and Inflammation (2 papers). Shuyan Wang collaborates with scholars based in China and United States. Shuyan Wang's co-authors include Egil Lien, Terry K. Means, Douglas T. Golenbock, Matthew J. Fenton, Atsutoshi Yoshimura, Mingyao Ying, Shuang Wei, Daqian Zhan, Senquan Liu and Peisong Gao and has published in prestigious journals such as The Journal of Immunology, Cancer Research and Parasites & Vectors.

In The Last Decade

Shuyan Wang

7 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Human Toll-Like Receptors Mediate Cellular Activation by Mycobacterium tuberculosis

1999 692 citations Terry K. Means, Shuyan Wang et al. The Journal of Immunology profile →

Peers

Shuyan Wang

IMMUN

EPIDE

ID

MB

MICRO

Cécile Fremond France

Katrin Finger Germany

Nasiema Allie South Africa

Valerie J. F. Quesniaux France

Lakshmi Ramachandra United States

Tanja M. Kaptein Netherlands

Cathrine Knetter United States

Hanne Schoenen Germany

Vladimir Yeremeev Russia

Marco Pio La Manna Italy

Cécile Fremond France

Shuyan Wang

774 ×0.9

IMMUN

539 ×1.4

EPIDE

689 ×1.8

ID

181 ×1.3

MB

49 ×0.4

MICRO

Citations per year, relative to Shuyan Wang Shuyan Wang (= 1×) peers Cécile Fremond

Countries citing papers authored by Shuyan Wang

Since Specialization

Citations

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

Fields of papers citing papers by Shuyan Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuyan Wang

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Wang, Xiao, Shuyan Wang, Xiaoyan Xu, et al.. (2024). The effect of Toxoplasma gondii infection on galectin-9 expression in decidual macrophages contributing to dysfunction of decidual NK cells during pregnancy. Parasites & Vectors. 17(1). 299–299. 3 indexed citations

2.

Wang, Shuyan, Jing An, Tingting Zeng, et al.. (2023). Single‐cell RNA sequencing reveals immune microenvironment of small cell lung cancer‐associated malignant pleural effusion. Thoracic Cancer. 15(1). 98–103. 3 indexed citations

3.

Huang, Fei, et al.. (2023). First report of prevalence and assemblage analysis of Giardia duodenalis in pigs from Guangxi Zhuang Autonomous Region, southern China. Parasite. 30. 51–51. 1 indexed citations

4.

Wang, Shuyan, et al.. (2020). MicroRNA-24 inhibits CDX1 expression in decidual tissues of recurrent spontaneous abortion mice to reduce the abortion risk. Advances in Clinical and Experimental Medicine. 29(8). 929–936. 5 indexed citations

5.

Ma, Ding, Senquan Liu, Bachchu Lal, et al.. (2019). Extracellular Matrix Protein Tenascin C Increases Phagocytosis Mediated by CD47 Loss of Function in Glioblastoma. Cancer Research. 79(10). 2697–2708. 60 indexed citations

6.

Means, Terry K., Egil Lien, Atsutoshi Yoshimura, et al.. (1999). The CD14 Ligands Lipoarabinomannan and Lipopolysaccharide Differ in Their Requirement for Toll-Like Receptors. The Journal of Immunology. 163(12). 6748–6755. 377 indexed citations

7.

Means, Terry K., Shuyan Wang, Egil Lien, et al.. (1999). Human Toll-Like Receptors Mediate Cellular Activation by Mycobacterium tuberculosis. The Journal of Immunology. 163(7). 3920–3927. 692 indexed citations breakdown →

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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