Ying Di

568 total citations
18 papers, 393 citations indexed

About

Ying Di is a scholar working on Molecular Biology, Immunology and Control and Systems Engineering. According to data from OpenAlex, Ying Di has authored 18 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Immunology and 3 papers in Control and Systems Engineering. Recurrent topics in Ying Di's work include Platelet Disorders and Treatments (3 papers), Advanced Control Systems Design (3 papers) and Blood properties and coagulation (2 papers). Ying Di is often cited by papers focused on Platelet Disorders and Treatments (3 papers), Advanced Control Systems Design (3 papers) and Blood properties and coagulation (2 papers). Ying Di collaborates with scholars based in United Kingdom, China and Germany. Ying Di's co-authors include Kerry Fisher, Leonard W. Seymour, Robert B. Sim, Robert J.C. Gilbert, Anna Cerny, Andreas F.‐P. Sonnen, Karel Ulbrich, Robert W. Finberg, Nicola K. Green and Vladimír Šubr and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Ying Di

16 papers receiving 386 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ying Di United Kingdom	9	206	150	108	81	48	18	393
Hyeonjeong Kang South Korea	12	130 0.6×	104 0.7×	281 2.6×	230 2.8×	59 1.2×	21	556
Saw-See Hong France	11	249 1.2×	104 0.7×	85 0.8×	44 0.5×	56 1.2×	17	480
Michael D. Bright United Kingdom	10	292 1.4×	88 0.6×	38 0.4×	60 0.7×	131 2.7×	12	589
Dong‐Jun Shin South Korea	13	87 0.4×	55 0.4×	153 1.4×	274 3.4×	82 1.7×	42	499
Anitha Rao United States	6	444 2.2×	247 1.6×	96 0.9×	67 0.8×	65 1.4×	13	570
S Yei United States	8	330 1.6×	316 2.1×	80 0.7×	84 1.0×	119 2.5×	9	592
Joshua Glover United States	6	284 1.4×	126 0.8×	153 1.4×	163 2.0×	85 1.8×	7	473
Philip Egan United Kingdom	11	262 1.3×	85 0.6×	51 0.5×	28 0.3×	28 0.6×	16	487
Simona Doniņa Latvia	9	100 0.5×	92 0.6×	127 1.2×	61 0.8×	31 0.6×	25	306

Countries citing papers authored by Ying Di

Since Specialization

Citations

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

Fields of papers citing papers by Ying Di

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Di

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

All Works

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18 of 18 papers shown

Ravenhill, Benjamin J., George Wood, Ying Di, et al.. (2025). Spatial proteomics identifies a CRTC-dependent viral signaling pathway that stimulates production of interleukin-11. Cell Reports. 44(2). 115263–115263. 1 indexed citations

Di, Ying, Jin‐Xi Zhang, & Xuefeng Zhang. (2024). Admissibility LMI criteria for descriptor fractional-order systems with a changeable number of decision variables. Journal of the Franklin Institute. 361(7). 106779–106779.

Ježek, Jan, Peiqiang Mu, Ying Di, et al.. (2024). Two mitochondrial DNA polymorphisms modulate cardiolipin binding and lead to synthetic lethality. Nature Communications. 15(1). 611–611. 2 indexed citations

Wang, Xiaofeng, Yiwen Qiu, Ying Di, et al.. (2024). Potential causal association between gut microbiota, inflammatory cytokines, and acute pancreatitis: A Mendelian randomization study. SHILAP Revista de lepidopterología. 5(2). 185–192.

Di, Ying, Jin‐Xi Zhang, & Xuefeng Zhang. (2023). Alternate Admissibility LMI Criteria for Descriptor Fractional Order Systems with 0 < α < 2. Fractal and Fractional. 7(8). 577–577. 5 indexed citations

Albarnaz, Jonas D., Ying Di, Maria H. Christensen, et al.. (2023). Quantitative proteomics defines mechanisms of antiviral defence and cell death during modified vaccinia Ankara infection. Nature Communications. 14(1). 8134–8134. 6 indexed citations

Beck, Sarah, Ying Di, Steven G. Thomas, et al.. (2023). Antibody-mediated depletion of human CLEC-2 in a novel humanized mouse model. Blood Advances. 7(6). 997–1000. 4 indexed citations

Di, Ying, Xueqing Wang, Malou Zuidscherwoude, et al.. (2023). Divalent nanobodies to platelet CLEC-2 can serve as agonists or antagonists. Communications Biology. 6(1). 376–376. 6 indexed citations

Di, Ying, Jin‐Xi Zhang, & Xuefeng Zhang. (2023). Robust stabilization of descriptor fractional-order interval systems with uncertain derivative matrices. Applied Mathematics and Computation. 453. 128076–128076. 10 indexed citations

10.

Mu, Peiqiang, et al.. (2022). REC drives recombination to repair double-strand breaks in animal mtDNA. The Journal of Cell Biology. 222(1). 9 indexed citations

11.

Jooss, Natalie J., Christopher W. Smith, Alexandre Slater, et al.. (2022). Anti‐GPVI nanobody blocks collagen‐ and atherosclerotic plaque–induced GPVI clustering, signaling, and thrombus formation. Journal of Thrombosis and Haemostasis. 20(11). 2617–2631. 20 indexed citations

12.

Barrachina, María N., Vanessa Casas, Sarah M. Hicks, et al.. (2020). Phosphoproteomic Analysis of Platelets in Severe Obesity Uncovers Platelet Reactivity and Signaling Pathways Alterations. Arteriosclerosis Thrombosis and Vascular Biology. 41(1). 478–490. 27 indexed citations

13.

Cawood, Ryan, et al.. (2011). Virotherapy – cancer targeted pharmacology. Drug Discovery Today. 17(5-6). 215–220. 10 indexed citations

14.

Guo, Jie, et al.. (2010). Kansuinine J, a new macrocyclic diterpenoid from the roots of Euphorbia kansui. Chinese Chemical Letters. 21(8). 943–946. 8 indexed citations

15.

Ferraris, Davide M., Ermanno Gherardi, Ying Di, Dirk W. Heinz, & Hartmut H. Niemann. (2009). Ligand-Mediated Dimerization of the Met Receptor Tyrosine Kinase by the Bacterial Invasion Protein InlB. Journal of Molecular Biology. 395(3). 522–532. 41 indexed citations

16.

Zhang, Hongwei, Hai Hong, Demin Li, et al.. (2009). Comparing Pooled Peptides with Intact Protein for Accessing Cross-presentation Pathways for Protective CD8+ and CD4+ T Cells. Journal of Biological Chemistry. 284(14). 9184–9191. 68 indexed citations

17.

Carlisle, Robert, Ying Di, Anna Cerny, et al.. (2009). Human erythrocytes bind and inactivate type 5 adenovirus by presenting Coxsackie virus-adenovirus receptor and complement receptor 1. Blood. 113(9). 1909–1918. 158 indexed citations

18.

Zhang, Lijuan, Xuemei Li, Derong Zhang, et al.. (2007). Molecular epidemic survey on co-prevalence of scrub typhus and marine typhus in Yuxi city, Yunnan province of China. Chinese Medical Journal. 120(15). 1314–1318. 18 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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