Yiding Zhang

3.2k total citations · 2 hit papers
110 papers, 2.0k citations indexed

About

Yiding Zhang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Yiding Zhang has authored 110 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Molecular Biology, 25 papers in Cellular and Molecular Neuroscience and 22 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Yiding Zhang's work include Neuroscience and Neuropharmacology Research (20 papers), Radiopharmaceutical Chemistry and Applications (13 papers) and Receptor Mechanisms and Signaling (10 papers). Yiding Zhang is often cited by papers focused on Neuroscience and Neuropharmacology Research (20 papers), Radiopharmaceutical Chemistry and Applications (13 papers) and Receptor Mechanisms and Signaling (10 papers). Yiding Zhang collaborates with scholars based in China, Japan and United States. Yiding Zhang's co-authors include Ming‐Rong Zhang, Lin Xie, Huwei Liu, Yu Bai, Shao Li, Masayuki Hanyu, Kuan Hu, Xinxing Lai, Shiyu Du and Aidi Tan and has published in prestigious journals such as Nature Communications, NeuroImage and Analytical Chemistry.

In The Last Decade

Yiding Zhang

106 papers receiving 2.0k citations

Hit Papers

Marriage of black phosphorus and Cu2+ as effective photot... 2019 2026 2021 2023 2020 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yiding Zhang China 22 750 392 374 287 221 110 2.0k
Zizheng Wang China 17 945 1.3× 240 0.6× 380 1.0× 169 0.6× 205 0.9× 85 2.5k
Danni Li China 26 1.1k 1.5× 142 0.4× 153 0.4× 191 0.7× 92 0.4× 127 2.2k
Xiaoyu Zhang China 23 957 1.3× 187 0.5× 121 0.3× 87 0.3× 180 0.8× 74 1.9k
Chaohong Li China 29 1.5k 2.0× 207 0.5× 310 0.8× 149 0.5× 123 0.6× 64 2.8k
Shuai Lü China 31 1.2k 1.6× 171 0.4× 290 0.8× 89 0.3× 426 1.9× 144 2.9k
Lijun Zhong China 20 636 0.8× 301 0.8× 164 0.4× 80 0.3× 76 0.3× 67 1.3k
Jianxin Chen China 30 686 0.9× 1.3k 3.4× 316 0.8× 322 1.1× 220 1.0× 247 3.3k
Yan Cao China 34 2.1k 2.7× 160 0.4× 435 1.2× 179 0.6× 34 0.2× 172 3.5k
Xiaojing Shi China 27 673 0.9× 1.5k 3.7× 131 0.4× 324 1.1× 742 3.4× 76 3.1k
Walter G. Gonzalez United States 23 649 0.9× 169 0.4× 169 0.5× 75 0.3× 200 0.9× 48 1.9k

Countries citing papers authored by Yiding Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Yiding Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yiding Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Yiding Zhang. A scholar is included among the top collaborators of Yiding Zhang 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 Yiding Zhang. Yiding Zhang 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.
Zhang, Siqi, Xingkai Wang, Hongyi Huang, et al.. (2025). Precise PEGylation Modulates the in Vivo Fate of Peptide Radiopharmaceuticals. Small. 21(30). e2410410–e2410410. 7 indexed citations
2.
Wang, Xingkai, Dong Dai, Siqi Zhang, et al.. (2025). A Cyclic Peptide‐Based Radiotheranostic Agent for Urokinase‐Type Plasminogen Activator in Tumors. Chemistry - A European Journal. 31(28). e202500479–e202500479. 1 indexed citations
3.
Tian, Hao, Siqi Zhang, Hongyi Huang, et al.. (2025). 64 Cu-Labeled Stapled Peptide-Based Radiopharmaceuticals Targeting MDM2/MDMX for Pan-p53 Tumors. Journal of Medicinal Chemistry. 68(21). 23389–23405. 1 indexed citations
4.
5.
Zhang, Yiding, et al.. (2024). Differential expression of osteoblast-like cells on self-organized titanium dioxide nanotubes. Journal of Dental Sciences. 19(Suppl 1). S26–S37. 2 indexed citations
6.
Zhang, Yiding, Lin Xie, Masayuki Fujinaga, et al.. (2024). l-[5-11C]Glutamine PET imaging noninvasively tracks dynamic responses of glutaminolysis in non-alcoholic steatohepatitis. Acta Pharmaceutica Sinica B. 15(2). 681–691. 1 indexed citations
7.
Xie, Lin, Lulu Zhang, Kuan Hu, et al.. (2023). A 211At-labelled mGluR1 inhibitor induces cancer senescence to elicit long-lasting anti-tumor efficacy. Cell Reports Medicine. 4(4). 100960–100960. 14 indexed citations
8.
Kawamura, Kazunori, Tomoteru Yamasaki, Masayuki Fujinaga, et al.. (2023). Automated radiosynthesis and in vivo evaluation of 18F-labeled analog of the photosensitizer ADPM06 for planning photodynamic therapy. EJNMMI Radiopharmacy and Chemistry. 8(1). 14–14. 2 indexed citations
9.
Zhang, Yiding, Katsushi Kumata, Lin Xie, et al.. (2023). The Glutaminase-1 Inhibitor [11C-carbony]BPTES: Synthesis and Positron Emission Tomography Study in Mice. Pharmaceuticals. 16(7). 963–963. 5 indexed citations
10.
Rong, Jian, Tomoteru Yamasaki, Yinlong Li, et al.. (2023). Development of Novel 11C-Labeled Selective Orexin-2 Receptor Radioligands for Positron Emission Tomography Imaging. ACS Medicinal Chemistry Letters. 14(10). 1419–1426. 5 indexed citations
11.
Ishii, Hideki, Tomoteru Yamasaki, T. Okamura, et al.. (2023). Evaluation and improvement of CuI‐mediated 11C‐cyanation. Journal of Labelled Compounds and Radiopharmaceuticals. 66(3). 95–107. 2 indexed citations
12.
13.
Wang, Ting, Wei Yu, Feng Wu, et al.. (2023). Combination of the gut microbiota and clinical indicators as a potential index for differentiating idiopathic membranous nephropathy and minimal change disease. Renal Failure. 45(1). 2209392–2209392. 8 indexed citations
14.
Wang, Peipei, Ruixue Guo, Xiwen Bai, et al.. (2022). Sacubitril/Valsartan contributes to improving the diabetic kidney disease and regulating the gut microbiota in mice. Frontiers in Endocrinology. 13. 1034818–1034818. 16 indexed citations
15.
Yan, Ge, et al.. (2022). Renal insufficiency predicts worse prognosis in newly diagnosed IgD multiple myeloma patients. Frontiers in Oncology. 12. 1012889–1012889. 5 indexed citations
16.
17.
Ishii, Hideki, Tomoteru Yamasaki, Joji Yui, et al.. (2020). Radiosynthesis of [thiocarbonyl-11C]disulfiram and its first PET study in mice. Bioorganic & Medicinal Chemistry Letters. 30(6). 126998–126998. 3 indexed citations
18.
Deng, Xiaoyun, Yiding Zhang, Zhen Chen, et al.. (2020). Synthesis and preliminary evaluation of 4-hydroxy-6-(3-[11C]methoxyphenethyl)pyridazin-3(2H)-one, a 11C-labeled -amino acid oxidase (DAAO) inhibitor for PET imaging. Bioorganic & Medicinal Chemistry Letters. 30(16). 127326–127326. 4 indexed citations
19.
Kawamura, Kazunori, Tomoteru Yamasaki, Yiding Zhang, et al.. (2018). Change in the Binding of [11C]BU99008 to Imidazoline I2 Receptor Using Brain PET in Zucker Rats. Molecular Imaging and Biology. 21(1). 105–112. 4 indexed citations
20.
Zhang, Yiding, et al.. (2014). Analysis of tartrazine aluminum lake and sunset yellow aluminum lake in foods by capillary zone electrophoresis. Chinese Journal of Chromatography. 32(4). 438–438. 4 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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