Weiwu Gao

868 total citations
21 papers, 627 citations indexed

About

Weiwu Gao is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Weiwu Gao has authored 21 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Immunology and 4 papers in Oncology. Recurrent topics in Weiwu Gao's work include Single-cell and spatial transcriptomics (5 papers), Immune Cell Function and Interaction (5 papers) and T-cell and B-cell Immunology (5 papers). Weiwu Gao is often cited by papers focused on Single-cell and spatial transcriptomics (5 papers), Immune Cell Function and Interaction (5 papers) and T-cell and B-cell Immunology (5 papers). Weiwu Gao collaborates with scholars based in China, United States and Croatia. Weiwu Gao's co-authors include Bing Ni, Keji Zhao, Gangqing Hu, Kairong Cui, Wai Lim Ku, Binbin Lai, Zhiqiang Tian, Kôsuke Nakamura, Qingsong Tang and Jun Zhang and has published in prestigious journals such as Nature, Nucleic Acids Research and Hepatology.

In The Last Decade

Weiwu Gao

21 papers receiving 621 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weiwu Gao China 13 453 194 120 72 68 21 627
Yueh‐Te Lin Taiwan 7 326 0.7× 110 0.6× 62 0.5× 40 0.6× 82 1.2× 10 459
Alberto Risueño United States 12 437 1.0× 262 1.4× 72 0.6× 29 0.4× 87 1.3× 25 678
Mami Yasukawa Japan 11 441 1.0× 112 0.6× 63 0.5× 44 0.6× 94 1.4× 15 707
Kirthi Pulakanti United States 14 456 1.0× 91 0.5× 69 0.6× 23 0.3× 51 0.8× 27 583
Khushboo Irshad India 11 207 0.5× 142 0.7× 48 0.4× 85 1.2× 87 1.3× 24 422
Shusil K. Pandit Netherlands 7 359 0.8× 86 0.4× 45 0.4× 48 0.7× 186 2.7× 9 546
Iben Daugaard Denmark 14 567 1.3× 403 2.1× 54 0.5× 29 0.4× 57 0.8× 20 682
Liang-Ping Xia China 9 206 0.5× 77 0.4× 48 0.4× 74 1.0× 181 2.7× 13 424
Fangming Zhu China 10 193 0.4× 94 0.5× 184 1.5× 29 0.4× 197 2.9× 14 472
Lihua Zhang China 10 339 0.7× 277 1.4× 90 0.8× 33 0.5× 49 0.7× 17 504

Countries citing papers authored by Weiwu Gao

Since Specialization
Citations

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

Fields of papers citing papers by Weiwu Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiwu Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Weiwu Gao. A scholar is included among the top collaborators of Weiwu Gao 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 Weiwu Gao. Weiwu Gao 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.
Yang, Xiaojing, Binbin Lai, Ji Zhang, et al.. (2024). Transcriptional profile of human thymus reveals IGFBP5 is correlated with age-related thymic involution. Frontiers in Immunology. 15. 1322214–1322214. 7 indexed citations
2.
Gao, Weiwu, Ying Tang, Ying Wang, et al.. (2023). Hypoxia-sensitive cells trigger NK cell activation via the KLF4-ASH1L-ICAM-1 axis, contributing to impairment in the rat epididymis. Cell Reports. 42(11). 113442–113442. 3 indexed citations
3.
Ku, Wai Lim, Lixia Pan, Yaqiang Cao, Weiwu Gao, & Keji Zhao. (2021). Profiling single-cell histone modifications using indexing chromatin immunocleavage sequencing. Genome Research. 31(10). 1831–1842. 21 indexed citations
4.
Gao, Weiwu, Wai Lim Ku, Lixia Pan, et al.. (2021). Multiplex indexing approach for the detection of DNase I hypersensitive sites in single cells. Nucleic Acids Research. 49(10). e56–e56. 14 indexed citations
5.
Li, Jin, et al.. (2021). A positive-feedback loop between HBx and ALKBH5 promotes hepatocellular carcinogenesis. BMC Cancer. 21(1). 686–686. 53 indexed citations
6.
Lei, Bo, Jian Zhou, Zhiqiang Tian, et al.. (2019). Circular RNA expression profiles of peripheral blood mononuclear cells in hepatocellular carcinoma patients by sequence analysis. Cancer Medicine. 8(4). 1423–1433. 36 indexed citations
7.
Ku, Wai Lim, Kôsuke Nakamura, Weiwu Gao, et al.. (2019). Single-cell chromatin immunocleavage sequencing (scChIC-seq) to profile histone modification. Nature Methods. 16(4). 323–325. 137 indexed citations
8.
Gao, Weiwu, Binbin Lai, Bing Ni, & Keji Zhao. (2019). Genome-wide profiling of nucleosome position and chromatin accessibility in single cells using scMNase-seq. Nature Protocols. 15(1). 68–85. 18 indexed citations
9.
Zhang, Jun, Jiali Yang, Jian Zhou, et al.. (2019). Prognostic Values of CD38+CD101+PD1+CD8+ T Cells in Pancreatic Cancer. Immunological Investigations. 48(5). 466–479. 20 indexed citations
10.
Gao, Weiwu, Zhengcai Jia, Yi Tian, et al.. (2019). HBx Protein Contributes to Liver Carcinogenesis by H3K4me3 Modification Through Stabilizing WD Repeat Domain 5 Protein. Hepatology. 71(5). 1678–1695. 52 indexed citations
11.
Nakamura, Kôsuke, Keji Zhao, Wai Lim Ku, et al.. (2019). A single-cell chromatin immunocleavage sequencing (scChIC-seq). Protocol Exchange. 1 indexed citations
12.
Zhang, Yue, Gang Luo, Yi Zhang, et al.. (2018). Critical effects of long non-coding RNA on fibrosis diseases. Experimental & Molecular Medicine. 50(1). e428–e428. 36 indexed citations
13.
Tian, Zhiqiang, Jun Zhang, Jian Zhou, et al.. (2018). Diverse effects of interleukin-22 on pancreatic diseases. Pancreatology. 18(3). 231–237. 6 indexed citations
14.
Lai, Binbin, Weiwu Gao, Kairong Cui, et al.. (2018). Principles of nucleosome organization revealed by single-cell micrococcal nuclease sequencing. Nature. 562(7726). 281–285. 122 indexed citations
15.
Yang, Shuang, Jian Zhou, Weiwu Gao, et al.. (2017). Multifunctional YY1 in Liver Diseases. Seminars in Liver Disease. 37(4). 363–376. 22 indexed citations
16.
Zhang, Yi, Xiaofei Wang, Di Yang, et al.. (2017). Dual roles of IL-22 at ischemia-reperfusion injury and acute rejection stages of rat allograft liver transplantation. Oncotarget. 8(70). 115384–115397. 12 indexed citations
17.
Chen, Cheng, Hui Luo, Jun Tang, et al.. (2016). Histone Deacetylase 1 Regulates the Expression of Progesterone Receptor A During Human Parturition by Occupying the Progesterone Receptor A Promoter. Reproductive Sciences. 23(7). 955–964. 26 indexed citations
18.
Gao, Weiwu, et al.. (2015). Mutual interaction between BCL6 and microRNAs in T cell differentiation. RNA Biology. 12(1). 21–25. 7 indexed citations
19.
Liu, Mian, Weiwu Gao, Jennifer C. van Velkinburgh, et al.. (2015). Role of Ets Proteins in Development, Differentiation, and Function of T‐Cell Subsets. Medicinal Research Reviews. 36(2). 193–220. 16 indexed citations
20.
Gao, Weiwu, Yuzhang Wu, Yi Tian, & Bing Ni. (2014). Yin–Yang Regulation of RORγt Protein Complex in Th17 Differentiation. International Reviews of Immunology. 34(4). 295–304. 7 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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