Zurong Wan

815 total citations · 1 hit paper
9 papers, 542 citations indexed

About

Zurong Wan is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Zurong Wan has authored 9 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 3 papers in Molecular Biology and 2 papers in Oncology. Recurrent topics in Zurong Wan's work include T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (4 papers) and Systemic Lupus Erythematosus Research (2 papers). Zurong Wan is often cited by papers focused on T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (4 papers) and Systemic Lupus Erythematosus Research (2 papers). Zurong Wan collaborates with scholars based in United States, China and Sweden. Zurong Wan's co-authors include Hai Qi, Xiaopeng Ma, Changming Shih, Dan Liu, Heping Xu, Dan Luo, Weiwei Ma, Virginia Pascual, Simone Caielli and Yihan Lin and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and Immunity.

In The Last Decade

Zurong Wan

9 papers receiving 533 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.

Systemic Lupus Erythematosus Pathogenesis: Interferon and Beyond

2023 110 citations Simone Caielli, Zurong Wan et al. Annual Review of Immunology profile →

Peers

Zurong Wan

IMMUN

ONCOL

MB

RHEUM

RNMI

Theresa Podrebarac United States

Maria Teresa D’Urso Italy

Ruby Alonso Cuba

Sun-Ok Yoon United States

Paula Savola Finland

Jutta Schröder Germany

David L. Pflugh United States

Kei Haniuda Japan

Derrick Callahan United States

Irina R. Sagalovskiy United States

Theresa Podrebarac United States

Zurong Wan

600 ×1.5

IMMUN

141 ×1.3

ONCOL

101 ×1.1

MB

83 ×0.9

RHEUM

21 ×0.5

RNMI

Citations per year, relative to Zurong Wan Zurong Wan (= 1×) peers Theresa Podrebarac

Countries citing papers authored by Zurong Wan

Since Specialization

Citations

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

Fields of papers citing papers by Zurong Wan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zurong Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Zurong Wan. A scholar is included among the top collaborators of Zurong Wan 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 Zurong Wan. Zurong Wan 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:

9 of 9 papers shown

1.

Lin, Yihan, Zurong Wan, Bo Liu, et al.. (2024). B cell-reactive triad of B cells, follicular helper and regulatory T cells at homeostasis. Cell Research. 34(4). 295–308. 3 indexed citations

2.

Caielli, Simone, Preetha Balasubramanian, Juan F. Rodríguez-Alcázar, et al.. (2024). Type I IFN drives unconventional IL-1β secretion in lupus monocytes. Immunity. 57(11). 2497–2513.e12. 15 indexed citations

3.

Wan, Zurong, Jinghua Gu, Uthra Balaji, et al.. (2024). Optimization of ultracentrifugation‐based method to enhance the purity and proteomic profiling depth of plasma‐derived extracellular vesicles and particles. SHILAP Revista de lepidopterología. 3(7). e167–e167. 3 indexed citations

4.

Caielli, Simone, Zurong Wan, & Virginia Pascual. (2023). Systemic Lupus Erythematosus Pathogenesis: Interferon and Beyond. Annual Review of Immunology. 41(1). 533–560. 110 indexed citations breakdown →

5.

Wan, Zurong, et al.. (2019). T_FH cells in bystander and cognate interactions with B cells. Immunological Reviews. 288(1). 28–36. 40 indexed citations

6.

Wan, Zurong, Xingyu Ji, Jiacheng Wei, et al.. (2018). Transmembrane domain-mediated Lck association underlies bystander and costimulatory ICOS signaling. Cellular and Molecular Immunology. 17(2). 143–152. 33 indexed citations

7.

Luo, Youfa, et al.. (2017). Assessment of chemical, biochemical, and microbiological properties in an artisanal Zn-smelting waste slag site revegetated with four native woody plant species. Applied Soil Ecology. 124. 17–26. 18 indexed citations

8.

Liu, Dan, Heping Xu, Changming Shih, et al.. (2014). T–B-cell entanglement and ICOSL-driven feed-forward regulation of germinal centre reaction. Nature. 517(7533). 214–218. 311 indexed citations

9.

Liu, Yi, Shangze Li, Huihui Zhang, et al.. (2012). A one-step cloning method for the construction of somatic cell gene targeting vectors: application to production of human knockout cell lines. BMC Biotechnology. 12(1). 71–71. 9 indexed citations

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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