Xiaoxiao Wan

1.5k total citations
38 papers, 1.1k citations indexed

About

Xiaoxiao Wan is a scholar working on Genetics, Immunology and Surgery. According to data from OpenAlex, Xiaoxiao Wan has authored 38 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Genetics, 24 papers in Immunology and 15 papers in Surgery. Recurrent topics in Xiaoxiao Wan's work include Diabetes and associated disorders (24 papers), Immune Cell Function and Interaction (19 papers) and Pancreatic function and diabetes (15 papers). Xiaoxiao Wan is often cited by papers focused on Diabetes and associated disorders (24 papers), Immune Cell Function and Interaction (19 papers) and Pancreatic function and diabetes (15 papers). Xiaoxiao Wan collaborates with scholars based in United States, China and France. Xiaoxiao Wan's co-authors include Emil R. Unanue, Pavel Zakharov, Anthony N. Vomund, Hao Hu, Javier A. Carrero, Stephen T. Ferris, Bernd H. Zinselmeyer, Cheryl F. Lichti, Habib Zaghouani and Jason S. Ellis and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Xiaoxiao Wan

37 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Xiaoxiao Wan United States 17 546 520 406 236 202 38 1.1k
David Liuwantara Australia 15 274 0.5× 314 0.6× 376 0.9× 146 0.6× 219 1.1× 20 835
Jean-Paul Beressi France 11 553 1.0× 144 0.3× 375 0.9× 460 1.9× 316 1.6× 20 1.2k
Matthew S. Hanson United States 13 584 1.1× 452 0.9× 467 1.2× 262 1.1× 155 0.8× 16 950
Sara Tezza United States 12 224 0.4× 231 0.4× 257 0.6× 135 0.6× 147 0.7× 17 647
Martin K. Oaks United States 16 280 0.5× 481 0.9× 91 0.2× 109 0.5× 125 0.6× 39 923
Hana Lango Allen United Kingdom 19 1.1k 2.0× 222 0.4× 991 2.4× 519 2.2× 791 3.9× 31 1.9k
Christian Goepfert United States 15 165 0.3× 157 0.3× 448 1.1× 120 0.5× 238 1.2× 16 994
Norio Takamoto Japan 16 262 0.5× 281 0.5× 143 0.4× 58 0.2× 400 2.0× 24 1.1k
Mitsukazu Gotoh Japan 13 309 0.6× 128 0.2× 772 1.9× 254 1.1× 212 1.0× 58 1.1k
Malene Jackerott Denmark 15 221 0.4× 78 0.1× 346 0.9× 171 0.7× 260 1.3× 20 669

Countries citing papers authored by Xiaoxiao Wan

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoxiao Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoxiao Wan

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

All Works

20 of 20 papers shown
1.
Zakharov, Pavel, Chanchal Sur Chowdhury, Brady Barron, et al.. (2025). Efferocytic remodelling of pancreatic islet macrophages by limited β-cell death. Nature. 647(8091). 1014–1024. 1 indexed citations
2.
Ciecko, Ashley E., David Schauder, Pavel Zakharov, et al.. (2025). An interleukin-27-centered cytokine circuit regulates macrophage and T cell interactions in autoimmune diabetes. iScience. 28(10). 113537–113537.
3.
Hu, Hao, Anthony N. Vomund, Neetu Srivastava, et al.. (2024). Crinophagic granules in pancreatic β cells contribute to mouse autoimmune diabetes by diversifying pathogenic epitope repertoire. Nature Communications. 15(1). 8318–8318. 2 indexed citations
4.
Wenzlau, Janet M., et al.. (2024). Mapping of a hybrid insulin peptide in the inflamed islet β-cells from NOD mice. Frontiers in Immunology. 15. 1348131–1348131. 4 indexed citations
5.
Srivastava, Neetu, Hao Hu, Anthony N. Vomund, et al.. (2024). CXCL16-dependent scavenging of oxidized lipids by islet macrophages promotes differentiation of pathogenic CD8+ T cells in diabetic autoimmunity. Immunity. 57(7). 1629–1647.e8. 16 indexed citations
6.
Lichti, Cheryl F. & Xiaoxiao Wan. (2023). Using mass spectrometry to identify neoantigens in autoimmune diseases: The type 1 diabetes example. Seminars in Immunology. 66. 101730–101730. 10 indexed citations
7.
Zhou, Ping, Dongdong Li, Fuli Luo, & Xiaoxiao Wan. (2022). NCOA2 coordinates with the transcriptional KAT2B-NF-κB partner to trigger inflammation response in acute kidney injury. Gene. 832. 146583–146583. 5 indexed citations
8.
Srivastava, Neetu, Hao Hu, Anthony N. Vomund, et al.. (2021). Chromogranin A Deficiency Confers Protection From Autoimmune Diabetes via Multiple Mechanisms. Diabetes. 70(12). 2860–2870. 9 indexed citations
9.
Zakharov, Pavel, Hao Hu, Xiaoxiao Wan, & Emil R. Unanue. (2020). Single-cell RNA sequencing of murine islets shows high cellular complexity at all stages of autoimmune diabetes. The Journal of Experimental Medicine. 217(6). 101 indexed citations
10.
Wan, Xiaoxiao, et al.. (2020). The MHC-II peptidome of pancreatic islets identifies key features of autoimmune peptides. Nature Immunology. 21(4). 455–463. 62 indexed citations
11.
Zhou, Ping, et al.. (2019). Transforming growth factor beta (TGF-β) is activated by the CtBP2-p300-AP1 transcriptional complex in chronic renal failure. International Journal of Biological Sciences. 16(2). 204–215. 28 indexed citations
12.
Holt, Marie K., Anne Costanzo, Brian T. Abe, et al.. (2019). Position β57 of I-A g7 controls early anti-insulin responses in NOD mice, linking an MHC susceptibility allele to type 1 diabetes onset. Science Immunology. 4(38). 42 indexed citations
13.
Wan, Xiaoxiao, Bernd H. Zinselmeyer, Pavel Zakharov, et al.. (2018). Pancreatic islets communicate with lymphoid tissues via exocytosis of insulin peptides. Nature. 560(7716). 107–111. 89 indexed citations
14.
15.
Wan, Xiaoxiao & Emil R. Unanue. (2017). Unique features in the presentation of insulin epitopes in autoimmune diabetes: an update. Current Opinion in Immunology. 46. 30–37. 12 indexed citations
16.
Chen, Zhi, et al.. (2016). Roles of Non-Coding RNAs in Acute Kidney Injury. Kidney & Blood Pressure Research. 41(6). 757–769. 42 indexed citations
17.
Vomund, Anthony N., Bernd H. Zinselmeyer, Boris Calderón, et al.. (2015). Beta cells transfer vesicles containing insulin to phagocytes for presentation to T cells. Proceedings of the National Academy of Sciences. 112(40). E5496–502. 81 indexed citations
18.
Wan, Xiaoxiao, et al.. (2013). In trans T cell tolerance exacerbates experimental allergic encephalomyelitis by interfering with protective antibody responses. Journal of Neuroimmunology. 266(1-2). 49–55. 1 indexed citations
19.
Ellis, Jason S., Xiaoxiao Wan, & Helen Braley‐Mullen. (2013). Transient depletion of CD4+ CD25+ regulatory T cells results in multiple autoimmune diseases in wild‐type and B‐cell‐deficient NOD mice. Immunology. 139(2). 179–186. 38 indexed citations
20.
Tartar, Danielle, Xiaoxiao Wan, Renu Jain, et al.. (2010). FoxP3+RORγt+ T Helper Intermediates Display Suppressive Function against Autoimmune Diabetes. The Journal of Immunology. 184(7). 3377–3385. 72 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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