Gang An

6.1k total citations
273 papers, 3.7k citations indexed

About

Gang An is a scholar working on Hematology, Molecular Biology and Oncology. According to data from OpenAlex, Gang An has authored 273 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 107 papers in Hematology, 90 papers in Molecular Biology and 75 papers in Oncology. Recurrent topics in Gang An's work include Multiple Myeloma Research and Treatments (104 papers), Chronic Lymphocytic Leukemia Research (35 papers) and Lymphoma Diagnosis and Treatment (33 papers). Gang An is often cited by papers focused on Multiple Myeloma Research and Treatments (104 papers), Chronic Lymphocytic Leukemia Research (35 papers) and Lymphoma Diagnosis and Treatment (33 papers). Gang An collaborates with scholars based in China, United States and United Kingdom. Gang An's co-authors include Lugui Qiu, Yu‐Tzu Tai, Fu‐Shan Xue, Chirag Acharya, Xiaoyan Feng, Kenneth C. Anderson, Xu Liao, Lai K. Luo, Nikhil C. Munshi and Kenneth Wen and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Gang An

235 papers receiving 3.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gang An China 30 1.7k 1.0k 965 524 408 273 3.7k
Qian Jiang China 36 1.5k 0.9× 1.8k 1.7× 787 0.8× 390 0.7× 470 1.2× 375 5.1k
William H. Schenke United States 33 2.2k 1.3× 277 0.3× 760 0.8× 492 0.9× 694 1.7× 71 7.4k
Lei Feng China 30 959 0.6× 93 0.1× 914 0.9× 667 1.3× 345 0.8× 255 3.7k
Chun Chen China 34 1.5k 0.9× 231 0.2× 929 1.0× 655 1.3× 350 0.9× 362 4.6k
Tetsuhiro Chiba Japan 39 2.1k 1.3× 216 0.2× 1.1k 1.1× 763 1.5× 208 0.5× 190 4.9k
Masataka Ikeda Japan 39 2.0k 1.2× 166 0.2× 2.3k 2.4× 914 1.7× 222 0.5× 245 5.9k
Jonathan Hill United Kingdom 31 2.8k 1.7× 205 0.2× 764 0.8× 590 1.1× 516 1.3× 96 6.9k
Arkadiusz Z. Dudek United States 41 3.3k 2.0× 581 0.6× 2.8k 2.9× 939 1.8× 985 2.4× 218 7.3k
Yukio Ozaki Japan 39 1.1k 0.7× 1.7k 1.6× 1.2k 1.2× 194 0.4× 835 2.0× 178 6.4k
David E. Gutstein United States 32 1.9k 1.1× 192 0.2× 129 0.1× 116 0.2× 204 0.5× 80 3.3k

Countries citing papers authored by Gang An

Since Specialization
Citations

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

Fields of papers citing papers by Gang An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gang An

This figure shows the co-authorship network connecting the top 25 collaborators of Gang An. A scholar is included among the top collaborators of Gang An 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 Gang An. Gang An 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.
Yan, Yuting, Tingyu Wang, Tengteng Yu, et al.. (2025). Zanubrutinib plus Ixazomib and Dexamethasone in Newly Diagnosed Symptomatic Waldenström Macroglobulinemia: A Phase II Study. Clinical Cancer Research. 31(10). 1856–1864. 1 indexed citations
2.
Yu, Zhen, Hao Sun, Lanting Liu, et al.. (2024). CRIP1 involves the pathogenesis of multiple myeloma via dual-regulation of proteasome and autophagy. EBioMedicine. 100. 104961–104961. 7 indexed citations
3.
Liu, Wei, Xiaojuan Wang, Chunyang Wang, et al.. (2024). Dynamic monitoring of circulating tumor DNA reveals outcomes and genomic alterations in patients with relapsed or refractory large B-cell lymphoma undergoing CAR T-cell therapy. Journal for ImmunoTherapy of Cancer. 12(3). e008450–e008450. 9 indexed citations
4.
Xiong, Yu, Tengteng Yu, Shuaishuai Zhang, et al.. (2024). Uncommon biphasic CAR-T expansion induces hemophagocytic lymphohistiocytosis-like syndrome and fatal multiple infections following BCMA CAR-T cell therapy: a case report. Journal for ImmunoTherapy of Cancer. 12(11). e010080–e010080. 2 indexed citations
5.
Chen, Chong, Gang An, Xiaoguang Yu, et al.. (2024). Screening Mutations of the Monogenic Syndromic High Myopia by Whole Exome Sequencing From MAGIC Project. Investigative Ophthalmology & Visual Science. 65(2). 9–9. 2 indexed citations
6.
7.
Liu, Jiahui, Yan Xu, Weiwei Sui, et al.. (2024). Development and validation of an individualized and weighted Myeloma Prognostic Score System (MPSS) in patients with newly diagnosed multiple myeloma. American Journal of Hematology. 99(4). 523–533. 7 indexed citations
8.
9.
Li, Jingyuan, Karen M. von Deneen, Fan Xiao, et al.. (2023). MG-Net: Multi-level global-aware network for thymoma segmentation. Computers in Biology and Medicine. 155. 106635–106635. 2 indexed citations
10.
Li, Lingna, Yuting Yan, Yan Xu, et al.. (2023). Clinical Benefit of Autologous Stem Cell Transplantation for Patients with Multiple Myeloma Achieving Undetectable Minimal Residual Disease after Induction Treatment. Cancer Research Communications. 3(9). 1770–1780. 4 indexed citations
11.
Xing, Lijie, Su Wang, Jiye Liu, et al.. (2021). BCMA-Specific ADC MEDI2228 and Daratumumab Induce Synergistic Myeloma Cytotoxicity via IFN-Driven Immune Responses and Enhanced CD38 Expression. Clinical Cancer Research. 27(19). 5376–5388. 22 indexed citations
12.
An, Gang, Daobin Zhou, Shu Cheng, et al.. (2021). A Phase II Trial of the Bruton Tyrosine-Kinase Inhibitor Zanubrutinib (BGB-3111) in Patients with Relapsed/Refractory Waldenström Macroglobulinemia. Clinical Cancer Research. 27(20). 5492–5501. 25 indexed citations
13.
Yu, Tengteng, Xiaoke Ma, Weiwei Sui, et al.. (2020). Polycomb-like Protein 3 Induces Proliferation and Drug Resistance in Multiple Myeloma and Is Regulated by miRNA-15a. Molecular Cancer Research. 18(7). 1063–1073. 21 indexed citations
14.
An, Gang, Meiying Cai, Xuemei Chen, et al.. (2019). Chromosomal microarray analysis for pregnancies with or without ultrasound abnormalities in women of advanced maternal age. Journal of Clinical Laboratory Analysis. 34(4). e23117–e23117. 12 indexed citations
15.
Zhu, Jing, Meili Lv, Nan Zhou, et al.. (2018). Genotyping polymorphic microhaplotype markers through the Illumina® MiSeq platform for forensics. Forensic Science International Genetics. 39. 1–7. 27 indexed citations
16.
Xu, Liangpu, Min Zhang, Yan Wang, et al.. (2018). Genetic testing and prenatal diagnosis of X-linked ichthyosis in two pedigrees. Zhonghua weichan yixue zazhi. 21(5). 293–300. 1 indexed citations
17.
18.
Guo, Hao, et al.. (2014). Modeling the Propagation of Mobile Phone Virus under Complex Network. The Scientific World JOURNAL. 2014. 1–14. 3 indexed citations
19.
Yi, Shuhua, Rui Cui, Zengjun Li, et al.. (2014). Distinct characteristics and new prognostic scoring system for Chinese patients with Waldenström macroglobulinemia. Chinese Medical Journal. 127(12). 2327–2331. 4 indexed citations
20.
An, Gang. (2008). Clustering Analysis of E-commerce Transactions with Self-Organizing Map. Shuju fenxi yu zhishi faxian. 24(9). 70–77. 2 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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