Hao Jin

2.5k total citations · 1 hit paper
62 papers, 1.9k citations indexed

About

Hao Jin is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Hao Jin has authored 62 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Immunology, 16 papers in Molecular Biology and 11 papers in Oncology. Recurrent topics in Hao Jin's work include Immune Cell Function and Interaction (7 papers), Neuroscience and Neuropharmacology Research (6 papers) and Immune cells in cancer (6 papers). Hao Jin is often cited by papers focused on Immune Cell Function and Interaction (7 papers), Neuroscience and Neuropharmacology Research (6 papers) and Immune cells in cancer (6 papers). Hao Jin collaborates with scholars based in China, United States and Austria. Hao Jin's co-authors include Charles S. Zuker, Yuequan Shen, Xue Yang, Lan Wei, Arie Kaffman, Siwei Li, Xiangyu Cai, Mingyu Ye, Jean-Christophe Delpech and Yueqing Peng and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Hao Jin

56 papers receiving 1.9k citations

Hit Papers

The gut–brain axis mediates sugar preference 2020 2026 2022 2024 2020 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hao Jin China 21 536 448 370 357 220 62 1.9k
Shaun McNulty United Kingdom 22 761 1.4× 898 2.0× 415 1.1× 387 1.1× 155 0.7× 38 2.1k
Jelena Djordjevic Serbia 29 359 0.7× 769 1.7× 449 1.2× 318 0.9× 49 0.2× 66 2.4k
Omar Šerý Czechia 24 519 1.0× 198 0.4× 350 0.9× 263 0.7× 50 0.2× 87 1.7k
Ute Krügel Germany 35 1.1k 2.0× 212 0.5× 208 0.6× 751 2.1× 243 1.1× 85 3.8k
Atsuyoshi Shimada Japan 29 637 1.2× 211 0.5× 101 0.3× 428 1.2× 183 0.8× 85 2.1k
Takashi Kondoh Japan 24 302 0.6× 313 0.7× 587 1.6× 174 0.5× 81 0.4× 75 1.5k
Hwei‐Hsien Chen Taiwan 28 730 1.4× 90 0.2× 110 0.3× 730 2.0× 72 0.3× 98 2.2k
Qing Chang China 24 594 1.1× 44 0.1× 386 1.0× 576 1.6× 321 1.5× 71 2.3k
Marco Koch Germany 24 272 0.5× 124 0.3× 209 0.6× 419 1.2× 66 0.3× 37 1.9k
Benjamí­n Florán Mexico 30 701 1.3× 134 0.3× 82 0.2× 1.3k 3.8× 179 0.8× 92 2.6k

Countries citing papers authored by Hao Jin

Since Specialization
Citations

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

Fields of papers citing papers by Hao Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hao Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Hao Jin. A scholar is included among the top collaborators of Hao Jin 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 Hao Jin. Hao Jin 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.
Yu, Liandong, Huakun Jia, Yichen Huang, et al.. (2025). Research on Path Smoothing Method for Robot Scanning Measurement Based on Multiple Curves. Actuators. 14(3). 135–135.
2.
Jin, Hao, et al.. (2025). YTHDC2 manipulates anti-tumoral macrophage polarization and predicts favorable outcomes in triple negative breast cancer. npj Precision Oncology. 9(1). 119–119. 2 indexed citations
3.
Wang, Rijun, et al.. (2025). TomaFDNet: A multiscale focused diffusion-based model for tomato disease detection. Frontiers in Plant Science. 16. 1530070–1530070.
4.
Wang, Jian, et al.. (2024). Prognostic significance of migrasomes in neuroblastoma through machine learning and multi-omics. Scientific Reports. 14(1). 16629–16629. 2 indexed citations
5.
Jin, Hao, et al.. (2023). CD39 molecule: a negative regulator expressed on T cells in patients with lung adenocarcinoma. Archives of Medical Science. 19(5). 1558–1563.
6.
7.
Song, Li, et al.. (2020). Long Non-Coding RNA NEAT1 Promotes the Proliferation, Migration, and Metastasis of Human Breast-Cancer Cells by Inhibiting miR-146b-5p Expression. SHILAP Revista de lepidopterología. 2 indexed citations
8.
Sisti, Alexander C., et al.. (2020). The gut–brain axis mediates sugar preference. Nature. 580(7804). 511–516. 206 indexed citations breakdown →
9.
Delpech, Jean-Christophe, Garth J. Thompson, Lan Wei, et al.. (2018). Amygdala hyper-connectivity in a mouse model of unpredictable early life stress. Translational Psychiatry. 8(1). 49–49. 89 indexed citations
10.
Zhao, Ning, Na Pan, Yang Wang, et al.. (2017). Correlation of PET/CT SUVmax with infiltration level of immune cells in patients with non-small cell lung cancer and its clinical significance. Clinical Oncology and Cancer Research. 44(3). 112–117. 1 indexed citations
11.
Yang, Fan, Hao Jin, Jian Wang, et al.. (2016). Adoptive Cellular Therapy (ACT) for Cancer Treatment. Advances in experimental medicine and biology. 909. 169–239. 16 indexed citations
12.
Delpech, Jean-Christophe, Lan Wei, Hao Jin, et al.. (2016). Early life stress perturbs the maturation of microglia in the developing hippocampus. Brain Behavior and Immunity. 57. 79–93. 149 indexed citations
13.
Fu, Lu, Hao Jin, Bin Yu, et al.. (2016). Characterization of NoV P particle-based chimeric protein vaccines developed from two different expression systems. Protein Expression and Purification. 130. 28–34. 4 indexed citations
14.
Yang, Xue, Hao Jin, Xiangyu Cai, Siwei Li, & Yuequan Shen. (2012). Structural and mechanistic insights into the activation of Stromal interaction molecule 1 (STIM1). Proceedings of the National Academy of Sciences. 109(15). 5657–5662. 176 indexed citations
15.
Sui, Hua, et al.. (2012). Lipopolysaccharide and dose of nicotine determine the effects of nicotine on murine bone marrow-derived dendritic cells. Molecular Medicine Reports. 5(4). 1005–1010. 19 indexed citations
16.
Jin, Hao, Hua Sui, Yi Nan Wang, & Feng Gao. (2012). Nicotine Up-regulated 4-1BBL Expression by Activating Mek-PI3K Pathway Augments the Efficacy of Bone Marrow-Derived Dendritic Cell Vaccination. Journal of Clinical Immunology. 33(1). 246–254. 12 indexed citations
17.
Jin, Hao, Robert Koesters, Maxime Bouchard, et al.. (2012). Jagged1-mediated Notch signaling regulates mammalian inner ear development independent of lateral inhibition. Acta Oto-Laryngologica. 132(10). 1028–1035. 14 indexed citations
18.
Schierberl, Kathryn C., Hao Jin, Thomas F. Tropea, et al.. (2011). Cav1.2 L-Type Ca2+Channels Mediate Cocaine-Induced GluA1 Trafficking in the Nucleus Accumbens, a Long-Term Adaptation Dependent on Ventral Tegmental Area Cav1.3 Channels. Journal of Neuroscience. 31(38). 13562–13575. 66 indexed citations
19.
Jin, Hao. (2001). Advancement and prospect in research of fresh herbal medicines in China. Chinese New Drugs Journal. 1 indexed citations
20.
Jin, Hao. (1999). Dental Characteristics in the Chaoxian of Liao-ning Province, China. The Journal of the Kyushu Dental Society. 53(5). 529–537. 8 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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