Yingxin Yu

697 total citations
10 papers, 543 citations indexed

About

Yingxin Yu is a scholar working on Immunology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yingxin Yu has authored 10 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 3 papers in Molecular Biology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yingxin Yu's work include Mast cells and histamine (6 papers), Asthma and respiratory diseases (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Yingxin Yu is often cited by papers focused on Mast cells and histamine (6 papers), Asthma and respiratory diseases (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Yingxin Yu collaborates with scholars based in Netherlands, China and United States. Yingxin Yu's co-authors include Frank A. Redegeld, Johan Garssen, Bart R. Blokhuis, Sangeeta Kumari, Nicolas Charles, Ulrich Blank, Sabrina Oliveira, Irati Beltrán Hernández, Mladen Korbelik and Ferry Ossendorp and has published in prestigious journals such as International Journal of Molecular Sciences, Immunological Reviews and Frontiers in Immunology.

In The Last Decade

Yingxin Yu

9 papers receiving 536 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yingxin Yu Netherlands	8	326	121	115	99	92	10	543
Julie McHale United Kingdom	9	302 0.9×	41 0.3×	176 1.5×	40 0.4×	103 1.1×	10	532
Tamara T. Haque United States	11	260 0.8×	96 0.8×	69 0.6×	23 0.2×	103 1.1×	23	423
Johanna Kotrba Germany	9	236 0.7×	78 0.6×	81 0.7×	21 0.2×	131 1.4×	13	414
Yun Bai United States	13	429 1.3×	104 0.9×	238 2.1×	20 0.2×	166 1.8×	25	636
Clifford M. Chapman United States	8	141 0.4×	45 0.4×	42 0.4×	86 0.9×	107 1.2×	16	392
Paula Carpintero-Fernández Spain	13	116 0.4×	153 1.3×	30 0.3×	30 0.3×	435 4.7×	20	667
Alan Xu China	10	237 0.7×	66 0.5×	48 0.4×	18 0.2×	135 1.5×	12	458
Katja Hardt Germany	13	358 1.1×	64 0.5×	62 0.5×	28 0.3×	188 2.0×	18	623
Emma L. Kuan United States	8	302 0.9×	138 1.1×	46 0.4×	62 0.6×	134 1.5×	11	651
Kristin N. Kornerup United Kingdom	6	163 0.5×	52 0.4×	61 0.5×	60 0.6×	134 1.5×	6	437

Countries citing papers authored by Yingxin Yu

Since Specialization

Citations

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

Fields of papers citing papers by Yingxin Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingxin Yu

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

All Works

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10 of 10 papers shown

Huang, Yucheng, Jiayuan Zhong, Shoufa Lin, et al.. (2025). Identification of dynamic network biomarker ITGB1 for erlotinib pre-resistance using single-cell differential covariance entropy. PubMed. 33(2). 200993–200993.

Hernández, Irati Beltrán, Yingxin Yu, Ferry Ossendorp, Mladen Korbelik, & Sabrina Oliveira. (2020). Preclinical and Clinical Evidence of Immune Responses Triggered in Oncologic Photodynamic Therapy: Clinical Recommendations. Journal of Clinical Medicine. 9(2). 333–333. 87 indexed citations

Hernández, Irati Beltrán, et al.. (2020). The Potential of Nanobody-Targeted Photodynamic Therapy to Trigger Immune Responses. Cancers. 12(4). 978–978. 24 indexed citations

Yu, Yingxin, Bart R. Blokhuis, Johan Garssen, & Frank A. Redegeld. (2019). A Transcriptomic Insight into the Impact of Colon Cancer Cells on Mast Cells. International Journal of Molecular Sciences. 20(7). 1689–1689. 12 indexed citations

Yu, Yingxin, Bart R. Blokhuis, Mara A. P. Diks, et al.. (2018). Functional Inhibitory Siglec-6 Is Upregulated in Human Colorectal Cancer-Associated Mast Cells. Frontiers in Immunology. 9. 2138–2138. 36 indexed citations

Redegeld, Frank A., Yingxin Yu, Sangeeta Kumari, Nicolas Charles, & Ulrich Blank. (2018). Non‐IgE mediated mast cell activation. Immunological Reviews. 282(1). 87–113. 152 indexed citations

Yu, Yingxin, Bart R. Blokhuis, Yvonne H. W. Derks, et al.. (2018). Human mast cells promote colon cancer growth via bidirectional crosstalk: studies in 2D and 3D coculture models. OncoImmunology. 7(11). e1504729–e1504729. 43 indexed citations

Liu, Zhi‐Qiang, Zhi‐Qiang Liu, Xiaoxi Li, et al.. (2016). Vitamin D contributes to mast cell stabilization. Allergy. 72(8). 1184–1192. 50 indexed citations

Wen, Liyan, Sha Yang, Ping Zhu, et al.. (2016). Peptide mimics of a carbohydrate-associated epitope expressed by cancer cells: Identification of vaccine candidates. Molecular Medicine Reports. 14(6). 5237–5244. 4 indexed citations

10.

Yu, Yingxin, Bart R. Blokhuis, Johan Garssen, & Frank A. Redegeld. (2015). Non-IgE mediated mast cell activation. European Journal of Pharmacology. 778. 33–43. 135 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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