Haitao Pan

1.2k total citations
53 papers, 757 citations indexed

About

Haitao Pan is a scholar working on Statistics and Probability, Management Science and Operations Research and Molecular Biology. According to data from OpenAlex, Haitao Pan has authored 53 papers receiving a total of 757 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Statistics and Probability, 16 papers in Management Science and Operations Research and 14 papers in Molecular Biology. Recurrent topics in Haitao Pan's work include Statistical Methods in Clinical Trials (23 papers), Optimal Experimental Design Methods (15 papers) and Childhood Cancer Survivors' Quality of Life (6 papers). Haitao Pan is often cited by papers focused on Statistical Methods in Clinical Trials (23 papers), Optimal Experimental Design Methods (15 papers) and Childhood Cancer Survivors' Quality of Life (6 papers). Haitao Pan collaborates with scholars based in United States, China and Japan. Haitao Pan's co-authors include Ying Yuan, Suyu Liu, Danmin Miao, Jielai Xia, Jihong Yang, Heng Zhou, Thomas A. Murray, Yiyu Cheng, Dongjie Chen and Yu Wang and has published in prestigious journals such as Journal of Clinical Oncology, Blood and PLoS ONE.

In The Last Decade

Haitao Pan

49 papers receiving 748 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haitao Pan United States 15 194 189 107 95 77 53 757
Hyunseung Kang United States 12 232 1.2× 381 2.0× 22 0.2× 50 0.5× 92 1.2× 36 1.6k
Lu Cui United States 15 538 2.8× 125 0.7× 314 2.9× 37 0.4× 101 1.3× 40 958
Sebastian Ueckert Sweden 11 134 0.7× 65 0.3× 84 0.8× 19 0.2× 11 0.1× 34 461
Chenxi Li United States 14 99 0.5× 70 0.4× 21 0.2× 19 0.2× 17 0.2× 60 633
Hélène M. Faessel United States 23 28 0.1× 1.1k 6.0× 25 0.2× 362 3.8× 87 1.1× 52 1.9k
Xiaodong Luo United States 16 303 1.6× 129 0.7× 54 0.5× 38 0.4× 83 1.1× 60 755
Yeh‐Fong Chen United States 10 119 0.6× 198 1.0× 21 0.2× 354 3.7× 9 0.1× 17 1.0k
Oleksandr Sverdlov United States 15 422 2.2× 65 0.3× 184 1.7× 29 0.3× 39 0.5× 58 815
Mindy Clyne United States 17 28 0.1× 433 2.3× 6 0.1× 81 0.9× 51 0.7× 26 1.2k
Baoguang Han United States 16 74 0.4× 707 3.7× 7 0.1× 87 0.9× 31 0.4× 26 1.1k

Countries citing papers authored by Haitao Pan

Since Specialization
Citations

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

Fields of papers citing papers by Haitao Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haitao Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Haitao Pan. A scholar is included among the top collaborators of Haitao 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 Haitao Pan. Haitao 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.
Lin, Xiaojian, Dongjie Chen, Shengjia Chen, et al.. (2025). UPLC-Q-TOF/MS-based study on chemical composition, in vivo metabolites, and tissue distribution of ethanol extract of Ganoderma lucidum. Journal of Pharmaceutical and Biomedical Analysis. 263. 116886–116886. 2 indexed citations
2.
Pan, Haitao, Mengyao Wang, Ye Kang, et al.. (2025). Multi-omics analysis reveals inhibition of osteosarcoma progression by sporoderm-removed Ganoderma lucidum spores via targeting glycerophospholipid and fatty acid metabolism. Scientific Reports. 15(1). 22111–22111. 1 indexed citations
3.
Bai, Shiyu, Xiaoxin Wang, Haitao Pan, et al.. (2025). Application of CPFD method in simulation of an industrial MTO regenerator. Chemical Engineering Journal. 505. 159348–159348. 3 indexed citations
4.
Li, Yimei, Robert M. Nelson, Rima Izem, et al.. (2024). Unlocking the Potential: A Systematic Review of Master Protocol in Pediatrics. Therapeutic Innovation & Regulatory Science. 58(4). 634–644.
5.
Jung, Seung‐Hyun, Mohamed Nadhir Djekidel, Zuo‐Fei Yuan, et al.. (2024). Phosphorylation of the DNA damage repair factor 53BP1 by ATM kinase controls neurodevelopmental programs in cortical brain organoids. PLoS Biology. 22(9). e3002760–e3002760. 1 indexed citations
6.
Zhang, Huilin, Haitao Pan, Hao Zeng, et al.. (2024). Sodium alginate ameliorates health in freshwater fish through gut-liver axis modulation under high carbohydrate diets. Aquaculture Reports. 40. 102538–102538. 2 indexed citations
7.
Yang, Jihong, Haitao Pan, Mengyao Wang, et al.. (2024). Protective effects of Ganoderma lucidum spores on estradiol benzoate-induced TEC apoptosis and compromised double-positive thymocyte development. Frontiers in Pharmacology. 15. 1419881–1419881. 4 indexed citations
8.
Li, Yisheng, et al.. (2022). A semi‐mechanistic dose‐finding design in oncology using pharmacokinetic/pharmacodynamic modeling. Pharmaceutical Statistics. 21(6). 1149–1166. 2 indexed citations
9.
Fuller, Christine, Olivia Campagne, Tong Lin, et al.. (2021). A Phase I and Surgical Study of Ribociclib and Everolimus in Children with Recurrent or Refractory Malignant Brain Tumors: A Pediatric Brain Tumor Consortium Study. Clinical Cancer Research. 27(9). 2442–2451. 17 indexed citations
10.
Young, Michael J., Angela Delaney, Niki Jurbergs, et al.. (2021). Radiotherapy alone for pediatric patients with craniopharyngioma. Journal of Neuro-Oncology. 156(1). 195–204. 20 indexed citations
11.
Wallace, David A., Douglas Taylor, Haitao Pan, et al.. (2020). Treatment‐related calvarial lesions in pediatric brain tumor survivors. Pediatric Blood & Cancer. 67(6). e28189–e28189. 1 indexed citations
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14.
Zhou, Heng, Thomas A. Murray, Haitao Pan, & Ying Yuan. (2018). Comparative review of novel model‐assisted designs for phase I clinical trials. Statistics in Medicine. 37(14). 2208–2222. 52 indexed citations
15.
Wu, Kejian, Haitao Pan, Chen Li, et al.. (2018). An evaluation roadmap for critical quality attributes from tier 1 in analytical similarity assessment. PLoS ONE. 13(12). e0208354–e0208354. 4 indexed citations
16.
Lavado, Alfonso, Jun Yong Park, Joshua Paré, et al.. (2018). The Hippo Pathway Prevents YAP/TAZ-Driven Hypertranscription and Controls Neural Progenitor Number. Developmental Cell. 47(5). 576–591.e8. 82 indexed citations
17.
Pan, Haitao & Ying Yuan. (2016). A default method to specify skeletons for Bayesian model averaging continual reassessment method for phase I clinical trials. Statistics in Medicine. 36(2). 266–279. 7 indexed citations
18.
Yang, Yang, Yonggang Zhang, Haitao Pan, et al.. (2014). Spinal Changes of a Newly Isolated Neuropeptide Endomorphin-2 Concomitant with Vincristine-Induced Allodynia. PLoS ONE. 9(2). e89583–e89583. 15 indexed citations
19.
Pan, Haitao, Feng Zhang, Ying Yuan, et al.. (2014). The Continual Reassessment Method for Multiple Toxicity Grades: A Bayesian Model Selection Approach. PLoS ONE. 9(5). e98147–e98147. 5 indexed citations
20.
Pan, Haitao, Qixin Zheng, & Xiaodong Guo. (2006). A novel synthetic peptide vector system for optimal gene delivery to bone marrow stromal cells. Journal of Peptide Science. 13(3). 154–163. 6 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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