Baoguang Han

1.6k total citations
26 papers, 1.1k citations indexed

About

Baoguang Han is a scholar working on Molecular Biology, Statistics and Probability and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Baoguang Han has authored 26 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 5 papers in Statistics and Probability and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Baoguang Han's work include Muscle Physiology and Disorders (6 papers), Statistical Methods in Clinical Trials (4 papers) and Advanced Causal Inference Techniques (3 papers). Baoguang Han is often cited by papers focused on Muscle Physiology and Disorders (6 papers), Statistical Methods in Clinical Trials (4 papers) and Advanced Causal Inference Techniques (3 papers). Baoguang Han collaborates with scholars based in United States, United Kingdom and Italy. Baoguang Han's co-authors include Jian‐Ting Zhang, Zizheng Dong, Damian McEntegart, Nathan Enas, Hailan Liu, Liu Yang, E. Koenig, Perry B. Shieh, Kathryn R. Wagner and Roxana Pincheira and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Molecular and Cellular Biology.

In The Last Decade

Baoguang Han

26 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Baoguang Han United States 16 707 131 121 98 98 26 1.1k
Gijs W.E. Santen Netherlands 23 892 1.3× 56 0.4× 78 0.6× 61 0.6× 97 1.0× 60 1.7k
Mai Fujimoto Japan 17 260 0.4× 117 0.9× 53 0.4× 76 0.8× 58 0.6× 51 876
Ruth Farmer United Kingdom 20 355 0.5× 38 0.3× 221 1.8× 91 0.9× 62 0.6× 35 1.2k
Galen E.B. Wright Canada 22 490 0.7× 79 0.6× 54 0.4× 25 0.3× 57 0.6× 53 1.2k
Wen Ye United States 18 394 0.6× 28 0.2× 66 0.5× 42 0.4× 80 0.8× 50 1.2k
Fong Wang United States 15 272 0.4× 115 0.9× 76 0.6× 20 0.2× 245 2.5× 26 1.1k
Keith B. Hoffman United States 19 330 0.5× 35 0.3× 274 2.3× 36 0.4× 43 0.4× 25 1.1k
Sarah A. Gagliano Taliun Canada 12 396 0.6× 44 0.3× 142 1.2× 67 0.7× 70 0.7× 37 1.2k
Anne Kiuru Sweden 15 362 0.5× 39 0.3× 65 0.5× 29 0.3× 134 1.4× 22 915
Rosario López‐Rodríguez Spain 17 481 0.7× 175 1.3× 29 0.2× 61 0.6× 14 0.1× 49 1.1k

Countries citing papers authored by Baoguang Han

Since Specialization
Citations

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

Fields of papers citing papers by Baoguang Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baoguang Han

This figure shows the co-authorship network connecting the top 25 collaborators of Baoguang Han. A scholar is included among the top collaborators of Baoguang Han 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 Baoguang Han. Baoguang Han 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.
Naylor, Martin, et al.. (2023). P45 A phase 1/2 study of DYNE-251 in males with DMD mutations amenable to exon 51 skipping: DELIVER study design. Neuromuscular Disorders. 33. S69–S70. 2 indexed citations
2.
McDonald, Craig M., Perry B. Shieh, Hoda Abdel‐Hamid, et al.. (2021). Open-Label Evaluation of Eteplirsen in Patients with Duchenne Muscular Dystrophy Amenable to Exon 51 Skipping: PROMOVI Trial. Journal of Neuromuscular Diseases. 8(6). 989–1001. 72 indexed citations
3.
4.
Wagner, Kathryn R., et al.. (2020). DMD – THERAPY. Neuromuscular Disorders. 30. S130–S131. 4 indexed citations
5.
Han, Baoguang, et al.. (2017). Covariate‐adjusted borrowing of historical control data in randomized clinical trials. Pharmaceutical Statistics. 16(4). 296–308. 34 indexed citations
6.
Liu‐Seifert, Hong, Eric Siemers, Karen Price, et al.. (2015). Cognitive Impairment Precedes and Predicts Functional Impairment in Mild Alzheimer’s Disease. Journal of Alzheimer s Disease. 47(1). 205–214. 62 indexed citations
7.
Han, Baoguang, et al.. (2015). A Comparison of Frequentist and Bayesian Model Based Approaches for Missing Data Analysis: Case Study with a Schizophrenia Clinical Trial. Statistics in Biopharmaceutical Research. 8(1). 116–127. 4 indexed citations
8.
Arya, Ravindra, et al.. (2015). Efficacy of nonvenous medications for acute convulsive seizures. Neurology. 85(21). 1859–1868. 36 indexed citations
9.
Wielage, Ronald C., et al.. (2014). The efficacy of duloxetine, non-steroidal anti-inflammatory drugs, and opioids in osteoarthritis: a systematic literature review and meta-analysis. BMC Musculoskeletal Disorders. 15(1). 76–76. 41 indexed citations
10.
Liu‐Seifert, Hong, Eric Siemers, Karen Sundell, et al.. (2014). Cognitive and Functional Decline and Their Relationship in Patients with Mild Alzheimer's Dementia. Journal of Alzheimer s Disease. 43(3). 949–955. 62 indexed citations
11.
Han, Baoguang, Menggang Yu, James J. Dignam, & Paul J. Rathouz. (2014). Bayesian approach for flexible modeling of semicompeting risks data. Statistics in Medicine. 33(29). 5111–5125. 10 indexed citations
12.
Han, Baoguang, Menggang Yu, & Damian McEntegart. (2013). Weighted re‐randomization tests for minimization with unbalanced allocation. Pharmaceutical Statistics. 12(4). 243–253. 5 indexed citations
13.
Han, Baoguang, Nathan Enas, & Damian McEntegart. (2009). Randomization by minimization for unbalanced treatment allocation. Statistics in Medicine. 28(27). 3329–3346. 88 indexed citations
14.
Yang, Liu, Hailan Liu, Baoguang Han, & Jian‐Ting Zhang. (2006). Identification of 14-3-3σ as a Contributor to Drug Resistance in Human Breast Cancer Cells Using Functional Proteomic Analysis. Cancer Research. 66(6). 3248–3255. 95 indexed citations
15.
Han, Baoguang, Han Xie, Qun Chen, & Jian‐Ting Zhang. (2006). Sensitizing hormone-refractory prostate cancer cells to drug treatment by targeting 14-3-3σ. Molecular Cancer Therapeutics. 5(4). 903–912. 29 indexed citations
16.
Dong, Zizheng, et al.. (2004). Role of eIF3 p170 in controlling synthesis of ribonucleotide reductase M2 and cell growth. Oncogene. 23(21). 3790–3801. 89 indexed citations
17.
Han, Baoguang, Zizheng Dong, & Jian‐Ting Zhang. (2003). Tight Control of Platelet-derived Growth Factor B/c-sis Expression by Interplay between the 5′-Untranslated Region Sequence and the Major Upstream Promoter. Journal of Biological Chemistry. 278(47). 46983–46993. 17 indexed citations
18.
Han, Baoguang & Jian‐Ting Zhang. (2002). Regulation of Gene Expression by Internal Ribosome Entry Sites or Cryptic Promoters: the eIF4G Story. Molecular and Cellular Biology. 22(21). 7372–7384. 101 indexed citations
19.
Chen, Qun, Youyun Yang, Yang Liu, Baoguang Han, & Jian‐Ting Zhang. (2002). Cytoplasmic Retraction of the Amino Terminus of Human Multidrug Resistance Protein 1. Biochemistry. 41(29). 9052–9062. 15 indexed citations
20.

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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