Yu Pan

2.8k total citations · 1 hit paper
51 papers, 2.3k citations indexed

About

Yu Pan is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Yu Pan has authored 51 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 11 papers in Oncology and 8 papers in Surgery. Recurrent topics in Yu Pan's work include Neuroendocrine Tumor Research Advances (6 papers), Viral Infectious Diseases and Gene Expression in Insects (6 papers) and Cancer, Hypoxia, and Metabolism (4 papers). Yu Pan is often cited by papers focused on Neuroendocrine Tumor Research Advances (6 papers), Viral Infectious Diseases and Gene Expression in Insects (6 papers) and Cancer, Hypoxia, and Metabolism (4 papers). Yu Pan collaborates with scholars based in China, Germany and Czechia. Yu Pan's co-authors include Willi Jahnen‐Dechent, Ulrich Simon, Annika Leifert, Günter Schmid, Sabine Neuß, Fei Wen, Wolfgang Brandau, Monika Fischler, Yifan Zhang and Jing Lv and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Analytical Chemistry.

In The Last Decade

Yu Pan

48 papers receiving 2.2k citations

Hit Papers

Size‐Dependent Cytotoxicity of Gold Nanoparticles 2007 2026 2013 2019 2007 500 1000 1.5k
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.

  1. Size‐Dependent Cytotoxicity of Gold Nanoparticles
    2007 1.5k citations Yu Pan, Annika Leifert et al. Small profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu Pan China 15 1.1k 672 552 503 474 51 2.3k
Yanan Chang China 24 1.1k 1.0× 814 1.2× 459 0.8× 277 0.6× 235 0.5× 91 2.3k
Leshuai W. Zhang China 27 858 0.8× 1.1k 1.6× 776 1.4× 612 1.2× 137 0.3× 67 2.7k
Stefania Sabella Italy 24 1.5k 1.4× 1.1k 1.6× 665 1.2× 679 1.3× 280 0.6× 58 2.9k
Hirak K. Patra United Kingdom 24 852 0.8× 905 1.3× 610 1.1× 593 1.2× 283 0.6× 59 2.4k
Jinyoung Jeong South Korea 25 1.5k 1.4× 1.1k 1.7× 790 1.4× 597 1.2× 546 1.2× 84 3.2k
Fuping Gao China 34 1.4k 1.3× 1.4k 2.0× 849 1.5× 988 2.0× 345 0.7× 87 3.3k
Sanjib Bhattacharyya United States 27 1.3k 1.2× 1.0k 1.5× 705 1.3× 764 1.5× 325 0.7× 59 3.0k
Bujie Du United States 22 1.2k 1.2× 1.1k 1.6× 636 1.2× 683 1.4× 505 1.1× 37 2.7k
Maoquan Chu China 24 959 0.9× 1.3k 1.9× 401 0.7× 685 1.4× 239 0.5× 63 2.1k
Quan Lin China 27 1.4k 1.3× 712 1.1× 444 0.8× 388 0.8× 476 1.0× 69 2.5k

Countries citing papers authored by Yu Pan

Since Specialization
Citations

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

Fields of papers citing papers by Yu Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Pan. A scholar is included among the top collaborators of Yu Pan 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 Yu Pan. Yu Pan 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.
Xiao, Mengtao, et al.. (2025). Failure Mechanisms and Predictive Modeling of Micro Solder Joints Under Thermal Cycling. IEEE Transactions on Components Packaging and Manufacturing Technology. 15(12). 2638–2644.
2.
Zhang, Qian, et al.. (2025). Roles and Prospective Applications of Ferroptosis Suppressor Protein 1 (FSP1) in Malignant Tumor Treatment. Current Oncology. 32(8). 456–456. 1 indexed citations
3.
Tang, Xinyue, et al.. (2025). Effect of vagus nerve stimulation on metabolism: a systematic review and meta-analysis. International Journal of Obesity. 49(12). 2383–2394. 1 indexed citations
4.
5.
Pan, Yu, et al.. (2024). Role of ABCC5 in cancer drug resistance and its potential as a therapeutic target. Frontiers in Cell and Developmental Biology. 12. 1446418–1446418. 4 indexed citations
6.
Xiong, Caiqiao, et al.. (2024). Accurate and High-Resolution Particle Mass Measurement Using a Peak Filtering Algorithm. Analytical Chemistry. 96(17). 6511–6516.
7.
8.
Yu, Xiaoyue, Yu Pan, Yan Dong, et al.. (2021). Cloning and overexpression of PeWRKY31 from Populus × euramericana enhances salt and biological tolerance in transgenic Nicotiana. BMC Plant Biology. 21(1). 80–80. 12 indexed citations
9.
Liu, Chang, Xiang Zhou, Yu Pan, Yang Liu, & Yifan Zhang. (2021). Pyruvate carboxylase promotes thyroid cancer aggressiveness through fatty acid synthesis. BMC Cancer. 21(1). 722–722. 18 indexed citations
10.
Zhao, Qingqing, et al.. (2020). The difference between steroid diabetes mellitus and type 2 diabetes mellitus: a whole-body 18F-FDG PET/CT study. Acta Diabetologica. 57(11). 1383–1393. 5 indexed citations
11.
Zhū, Lìyǐng, et al.. (2019). Value of fluorine-18-fluorodeoxyglucose PET/CT in localizing the primary lesion in adrenocorticotropic hormone-dependent Cushing syndrome. Nuclear Medicine Communications. 40(5). 539–544. 13 indexed citations
12.
Lv, Jing, et al.. (2017). Unilateral Adrenal Cryptococcosis on FDG PET/CT. Clinical Nuclear Medicine. 42(7). 565–566. 2 indexed citations
13.
Wang, Jiajun, Aijun Xu, Junying Zhang, et al.. (2016). Prognostic significance of long non-coding RNA MALAT-1 in various human carcinomas: a meta-analysis. Genetics and Molecular Research. 15(1). 20 indexed citations
14.
Pan, Yu, et al.. (2014). A novel hybrid baculovirus-adeno-associated viral vector-mediated radionuclide reporter gene imaging system for stem cells transplantation monitoring. Applied Microbiology and Biotechnology. 99(3). 1415–1426. 9 indexed citations
15.
Pan, Yu, et al.. (2014). Pituitary Involvement of Langerhans Cell Histiocytosis in an Adult Unveiled by FDG PET/CT. Clinical Nuclear Medicine. 40(6). 509–511. 9 indexed citations
16.
Liang, Sheng, et al.. (2013). 18F-Radiolabeled GLP-1 analog exendin-4 for PET/CT imaging of insulinoma in small animals. Nuclear Medicine Communications. 34(7). 701–708. 21 indexed citations
17.
18.
Pan, Yu, Matthias Bartneck, & Willi Jahnen‐Dechent. (2012). Cytotoxicity of Gold Nanoparticles. Methods in enzymology on CD-ROM/Methods in enzymology. 509. 225–242. 19 indexed citations
19.
Pan, Yu, Annika Leifert, Michael Graf, et al.. (2012). High‐Sensitivity Real‐Time Analysis of Nanoparticle Toxicity in Green Fluorescent Protein‐Expressing Zebrafish. Small. 9(6). 863–869. 44 indexed citations
20.
Yu, Yingyan, Yu Pan, & Zhenggang Zhu. (2006). Homeobox genes and their functions on development and neoplasm in gastrointestinal tract. European Journal of Surgical Oncology. 33(2). 129–132. 11 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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