Miao Peng

897 total citations
23 papers, 692 citations indexed

About

Miao Peng is a scholar working on Endocrinology, Diabetes and Metabolism, Atomic and Molecular Physics, and Optics and Oncology. According to data from OpenAlex, Miao Peng has authored 23 papers receiving a total of 692 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Endocrinology, Diabetes and Metabolism, 6 papers in Atomic and Molecular Physics, and Optics and 6 papers in Oncology. Recurrent topics in Miao Peng's work include Thyroid Cancer Diagnosis and Treatment (7 papers), Orbital Angular Momentum in Optics (4 papers) and Advanced Graph Neural Networks (3 papers). Miao Peng is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (7 papers), Orbital Angular Momentum in Optics (4 papers) and Advanced Graph Neural Networks (3 papers). Miao Peng collaborates with scholars based in China, United States and Australia. Miao Peng's co-authors include Electron Kebebew, Quan‐Yang Duh, Orlo H. Clark, Emily Reiff, Alex McMillan, Willieford Moses, Julie Weng, Elham Khanafshar, Britt‐Marie Ljung and Patrick Treseler and has published in prestigious journals such as Journal of Applied Physics, The Journal of Clinical Endocrinology & Metabolism and Cancer.

In The Last Decade

Miao Peng

18 papers receiving 668 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Miao Peng China 11 353 241 154 131 120 23 692
Diana Caragacianu United States 13 121 0.3× 292 1.2× 168 1.1× 177 1.4× 56 0.5× 20 754
Yansong Lin China 19 903 2.6× 209 0.9× 204 1.3× 265 2.0× 113 0.9× 104 1.1k
Ran Xie United States 12 168 0.5× 295 1.2× 221 1.4× 62 0.5× 44 0.4× 32 676
Laurie L. Carr United States 12 291 0.8× 186 0.8× 271 1.8× 87 0.7× 78 0.7× 15 810
Melina Flanagan United States 11 152 0.4× 95 0.4× 190 1.2× 138 1.1× 67 0.6× 25 540
Vincenzo L’Imperio Italy 18 123 0.3× 245 1.0× 175 1.1× 90 0.7× 32 0.3× 103 953
Agnieszka Czarniecka Poland 19 1.0k 2.9× 462 1.9× 221 1.4× 381 2.9× 178 1.5× 69 1.5k
Andrew B. Sholl United States 14 133 0.4× 179 0.7× 87 0.6× 92 0.7× 34 0.3× 42 547
Sharon B. Sams United States 17 238 0.7× 382 1.6× 514 3.3× 72 0.5× 84 0.7× 40 1.0k
Todd Riehl United States 13 196 0.6× 288 1.2× 431 2.8× 54 0.4× 54 0.5× 28 831

Countries citing papers authored by Miao Peng

Since Specialization
Citations

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

Fields of papers citing papers by Miao Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miao Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Miao Peng. A scholar is included among the top collaborators of Miao Peng 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 Miao Peng. Miao Peng 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.
Vercauteren, Maaike, Miao Peng, Ilias Semmouri, et al.. (2025). Data on the cytotoxicity of surfactants used to increase the dispersion of micro- and nanoplastics. Data in Brief. 63. 112144–112144.
2.
3.
4.
Peng, Miao, Guangzong Xiao, Xinlin Chen, et al.. (2024). Optical trapping-enhanced probes designed by a deep learning approach. Photonics Research. 12(5). 959–959. 8 indexed citations
5.
Ma, Hansi, Junbo Yang, Na Zhao, et al.. (2024). Inverse-designed 6 × 6 waveguide crossing for a Benes-based network. Optics Express. 32(24). 42908–42908.
6.
Liu, Ben, et al.. (2023). Pre-trained Language Model with Prompts for Temporal Knowledge Graph Completion. 7790–7803. 15 indexed citations
7.
Liu, Ben, et al.. (2023). Neighboring relation enhanced inductive knowledge graph link prediction via meta-learning. World Wide Web. 26(5). 2909–2930.
8.
Peng, Miao, et al.. (2022). SMiLE: Schema-augmented Multi-level Contrastive Learning for Knowledge Graph Link Prediction. 4165–4177. 6 indexed citations
9.
Chen, Zhijie, Miao Peng, Xiang Han, et al.. (2022). Enhancing the performance of the counter-propagating dual-beam optical trap with the asymmetric configuration. The European Physical Journal D. 76(1). 2 indexed citations
10.
Peng, Miao, Hui Luo, Zhaojian Zhang, et al.. (2021). Optical Pulling Using Chiral Metalens as a Photonic Probe. Nanomaterials. 11(12). 3376–3376. 9 indexed citations
11.
Peng, Miao, Xiang Han, Guangzong Xiao, et al.. (2021). Spherical volume elements scheme for calculating van der Waals force between irregular particles and rough surfaces. Chinese Journal of Physics. 72. 645–654. 5 indexed citations
12.
Xiao, Zhu‐Ping, Pengfei Wang, Wei Wei, et al.. (2015). Synthesis and evaluation of N-analogs of 1,2-diarylethane as Helicobacter pylori urease inhibitors. Bioorganic & Medicinal Chemistry. 23(15). 4508–4513. 23 indexed citations
13.
Xie, Fang‐Yun, et al.. (2010). Prophylactic irradiation of cervical lymph nodes for Stage-N0 nasopharyngeal carcinoma. Chinese Journal of Cancer. 29(1). 100–104. 9 indexed citations
14.
Vriens, Menno R., Willieford Moses, Julie Weng, et al.. (2010). Clinical and molecular features of papillary thyroid cancer in adolescents and young adults. Cancer. 117(2). 259–267. 66 indexed citations
15.
Kebebew, Electron, Miao Peng, Emily Reiff, et al.. (2006). A phase II trial of rosiglitazone in patients with thyroglobulin-positive and radioiodine-negative differentiated thyroid cancer. Surgery. 140(6). 960–967. 91 indexed citations
16.
Kebebew, Electron, Miao Peng, Emily Reiff, & Alex McMillan. (2006). Diagnostic and extent of disease multigene assay for malignant thyroid neoplasms. Cancer. 106(12). 2592–2597. 67 indexed citations
17.
Kebebew, Electron, Miao Peng, Emily Reiff, et al.. (2005). Diagnostic and prognostic value of angiogenesis-modulating genes in malignant thyroid neoplasms. Surgery. 138(6). 1102–1110. 32 indexed citations
18.
Kebebew, Electron, Miao Peng, Emily Reiff, et al.. (2005). ECM1 and TMPRSS4 Are Diagnostic Markers of Malignant Thyroid Neoplasms and Improve the Accuracy of Fine Needle Aspiration Biopsy. Annals of Surgery. 242(3). 353–363. 101 indexed citations
19.
Kebebew, Electron, Miao Peng, Patrick Treseler, et al.. (2004). Id1 Gene Expression Is Up-Regulated in Hyperplastic and Neoplastic Thyroid Tissue and Regulates Growth and Differentiation in Thyroid Cancer Cells. The Journal of Clinical Endocrinology & Metabolism. 89(12). 6105–6111. 28 indexed citations
20.
Kebebew, Electron, Miao Peng, Mariwil G. Wong, et al.. (2004). GCMB gene, a master regulator of parathyroid gland development, expression, and regulation in hyperparathyroidism. Surgery. 136(6). 1261–1266. 33 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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