Hong Luo

8.6k total citations · 1 hit paper
114 papers, 4.2k citations indexed

About

Hong Luo is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, Hong Luo has authored 114 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Molecular Biology, 22 papers in Pulmonary and Respiratory Medicine and 21 papers in Genetics. Recurrent topics in Hong Luo's work include Bladder and Urothelial Cancer Treatments (15 papers), Alzheimer's disease research and treatments (13 papers) and Cancer Immunotherapy and Biomarkers (9 papers). Hong Luo is often cited by papers focused on Bladder and Urothelial Cancer Treatments (15 papers), Alzheimer's disease research and treatments (13 papers) and Cancer Immunotherapy and Biomarkers (9 papers). Hong Luo collaborates with scholars based in China, United States and Netherlands. Hong Luo's co-authors include Weiming Fu, Mark P. Mattson, Yadong Goodman, Katsutoshi Furukawa, Mark P. Mattson, Huaxi Xu, Bing Hao, Ji Qi, Timothy Y. Huang and Qiuyang Zheng and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Medicine.

In The Last Decade

Hong Luo

110 papers receiving 4.2k citations

Hit Papers

Open-label, Multicenter, Phase II Study of RC48-ADC, a HE... 2020 2026 2022 2024 2020 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hong Luo China 31 2.2k 621 612 471 467 114 4.2k
Su Wang China 43 4.1k 1.9× 367 0.6× 600 1.0× 569 1.2× 399 0.9× 118 6.2k
Lixin Sun China 43 2.9k 1.3× 497 0.8× 687 1.1× 913 1.9× 317 0.7× 167 6.0k
Qiwei Zhai China 37 3.0k 1.4× 1.5k 2.4× 914 1.5× 381 0.8× 341 0.7× 86 6.0k
Hao Jiang United States 37 2.9k 1.3× 323 0.5× 417 0.7× 312 0.7× 446 1.0× 83 4.8k
Wei Yan China 39 2.5k 1.2× 688 1.1× 985 1.6× 461 1.0× 212 0.5× 106 4.2k
Li Cao China 27 2.0k 0.9× 748 1.2× 441 0.7× 622 1.3× 149 0.3× 189 4.5k
Wen‐Chang Chang Taiwan 42 3.4k 1.6× 390 0.6× 925 1.5× 760 1.6× 192 0.4× 175 5.9k
Matthew Jarpe United States 27 4.0k 1.9× 595 1.0× 450 0.7× 1.1k 2.3× 365 0.8× 47 5.5k
Razvan Lapadat United States 9 2.3k 1.1× 343 0.6× 543 0.9× 623 1.3× 204 0.4× 22 4.1k
Gerald Thiel Germany 44 3.7k 1.7× 375 0.6× 621 1.0× 533 1.1× 334 0.7× 158 6.1k

Countries citing papers authored by Hong Luo

Since Specialization
Citations

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

Fields of papers citing papers by Hong Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Luo

This figure shows the co-authorship network connecting the top 25 collaborators of Hong Luo. A scholar is included among the top collaborators of Hong Luo 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 Hong Luo. Hong Luo 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
2.
Luo, Hong, Xue Bai, Zishan Wu, et al.. (2025). SugarcaneOmics: An integrative multi-omics platform for sugarcane research. Plant Communications. 6(11). 101489–101489. 2 indexed citations
3.
Li, Lun, Cuiping Li, Na Li, et al.. (2024). Machine Learning Early Detection of SARS‐CoV‐2 High‐Risk Variants. Advanced Science. 11(45). e2405058–e2405058. 2 indexed citations
4.
Wang, Zijie, Yiru Jiang, Yong Wang, et al.. (2023). Loss of RAB39B does not alter MPTP-induced Parkinson’s disease-like phenotypes in mice. Frontiers in Aging Neuroscience. 15. 1087823–1087823. 2 indexed citations
5.
Yang, Yifan, Hong Luo, Yue Ji, et al.. (2023). A Versatile Platform for the Tumor‐Targeted Intracellular Delivery of Peptides, Proteins, and siRNA. Advanced Functional Materials. 33(30). 8 indexed citations
6.
Wang, Ting, Yong Wang, Liang Zhang, et al.. (2023). Long-term potentiation-based screening identifies neuronal PYGM as a synaptic plasticity regulator participating in Alzheimer’s disease. 动物学研究. 44(5). 867–881. 8 indexed citations
7.
Wu, Xiao‐Yuan, Yuanming Liu, Hong Luo, et al.. (2022). Genomic footprints of sorghum domestication and breeding selection for multiple end uses. Molecular Plant. 15(3). 537–551. 30 indexed citations
8.
Qin, Xiaojian, Dongmei Ji, Weijie Gu, et al.. (2022). Activity and safety of SHR3680, a novel antiandrogen, in patients with metastatic castration-resistant prostate cancer: a phase I/II trial. BMC Medicine. 20(1). 84–84. 10 indexed citations
9.
Tao, Yongfu, Hong Luo, Jiabao Xu, et al.. (2021). Extensive variation within the pan-genome of cultivated and wild sorghum. Nature Plants. 7(6). 766–773. 129 indexed citations
10.
Hao, Huaiqing, Zhigang Li, Cheng Lu, et al.. (2021). Sorghum breeding in the genomic era: opportunities and challenges. Theoretical and Applied Genetics. 134(7). 1899–1924. 81 indexed citations
11.
Pyfrom, Sarah, et al.. (2020). BCALM (AC099524.1) Is a Human B Lymphocyte–Specific Long Noncoding RNA That Modulates B Cell Receptor–Mediated Calcium Signaling. The Journal of Immunology. 205(3). 595–607. 17 indexed citations
12.
Zhang, Limin, Hong Luo, Xiao‐Yuan Wu, et al.. (2018). Sweet Sorghum Originated through Selection of Dry, a Plant-Specific NAC Transcription Factor Gene. The Plant Cell. 30(10). 2286–2307. 63 indexed citations
13.
Luo, Hong, et al.. (2017). [Soil fertility evaluation of artificial afforestation areas in Tibet, China].. PubMed. 28(5). 1507–1514. 2 indexed citations
14.
Wu, Bin, Hong Luo, Xu Zhou, et al.. (2017). Succinate-induced neuronal mitochondrial fission and hexokinase II malfunction in ischemic stroke: Therapeutical effects of kaempferol. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1863(9). 2307–2318. 94 indexed citations
15.
Liu, Xinguang, Jixin Wang, Hong Luo, et al.. (2017). A metabolic exposure-oriented network regulation strategy for the identification of effective combination in the extract of Ginkgo biloba L.. Journal of Pharmaceutical and Biomedical Analysis. 149. 151–159. 8 indexed citations
16.
Wu, Xiao‐Yuan, Weijuan Hu, Hong Luo, et al.. (2016). Transcriptome profiling of developmental leaf senescence in sorghum (Sorghum bicolor). Plant Molecular Biology. 92(4-5). 555–580. 32 indexed citations
17.
Koues, Olivia I., Li‐Wei Chang, Sarah Pyfrom, et al.. (2014). Enhancer Sequence Variants and Transcription-Factor Deregulation Synergize to Construct Pathogenic Regulatory Circuits in B-Cell Lymphoma. Immunity. 42(1). 186–198. 53 indexed citations
18.
Zhao, Shanmin, Hong Luo, Guanghan Kan, et al.. (2014). The Protective Role of Autophagy inHeterocephalus glaberHepatic Stellate Cells Exposed to H2O2or Nutritional Stress. Cellular Physiology and Biochemistry. 34(2). 463–473. 11 indexed citations
19.
Luo, Hong, et al.. (2011). ProRepeat: an integrated repository for studying amino acid tandem repeats in proteins. Nucleic Acids Research. 40(D1). D394–D399. 11 indexed citations
20.
Luo, Hong, et al.. (2010). Epithelioid angiomyolipoma of the kidney. Zhonghua miniao waike zazhi. 31(9). 595–597. 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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