Han Hu

1.8k total citations
50 papers, 1.5k citations indexed

About

Han Hu is a scholar working on Insect Science, Genetics and Molecular Biology. According to data from OpenAlex, Han Hu has authored 50 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Insect Science, 19 papers in Genetics and 14 papers in Molecular Biology. Recurrent topics in Han Hu's work include Insect and Pesticide Research (19 papers), Insect and Arachnid Ecology and Behavior (17 papers) and Plant and animal studies (13 papers). Han Hu is often cited by papers focused on Insect and Pesticide Research (19 papers), Insect and Arachnid Ecology and Behavior (17 papers) and Plant and animal studies (13 papers). Han Hu collaborates with scholars based in China, United States and Canada. Han Hu's co-authors include Joseph Zaia, Bin Han, Jianke Li, Feng Mao, Jiaqi Wang, Kshitij Khatri, Lifeng Meng, Yu Fang, Nan Zheng and Chuan Ma and has published in prestigious journals such as PLoS ONE, Journal of Agricultural and Food Chemistry and Scientific Reports.

In The Last Decade

Han Hu

50 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Han Hu China 23 630 425 349 226 181 50 1.5k
J. F. Antoniw United Kingdom 34 1.6k 2.5× 402 0.9× 171 0.5× 138 0.6× 36 0.2× 96 4.4k
Frank Vanrobaeys Belgium 16 537 0.9× 222 0.5× 148 0.4× 51 0.2× 178 1.0× 18 1.0k
Tita Ritsema Netherlands 25 847 1.3× 407 1.0× 94 0.3× 142 0.6× 48 0.3× 41 2.7k
José C. Novello Brazil 29 1.3k 2.0× 240 0.6× 633 1.8× 38 0.2× 83 0.5× 55 2.0k
George V. Odell United States 24 812 1.3× 245 0.6× 1.2k 3.4× 52 0.2× 42 0.2× 68 1.8k
Hideaki Harada Japan 13 2.1k 3.4× 111 0.3× 138 0.4× 64 0.3× 66 0.4× 43 3.6k
Gustavo H.M.F. Souza Brazil 23 801 1.3× 87 0.2× 309 0.9× 17 0.1× 193 1.1× 67 1.7k
Ugrappa Nagalakshmi United States 17 2.3k 3.7× 144 0.3× 316 0.9× 38 0.2× 44 0.2× 28 3.2k
Michael L. Sullivan United States 34 2.0k 3.2× 97 0.2× 149 0.4× 89 0.4× 13 0.1× 99 3.3k
Alice Schroeder United States 23 971 1.5× 102 0.2× 250 0.7× 72 0.3× 33 0.2× 60 2.4k

Countries citing papers authored by Han Hu

Since Specialization
Citations

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

Fields of papers citing papers by Han Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Han Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Han Hu. A scholar is included among the top collaborators of Han Hu 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 Han Hu. Han Hu 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.
Zhao, Wen, Charlie Changli Xue, Lin Zhang, et al.. (2025). Phenolic Acid and Flavonoid Content Analysis with Antioxidant Activity Assessment in Chinese C. pi. Shen Honey. Molecules. 30(2). 370–370. 4 indexed citations
3.
Zhu, Mingzhi, Han Hu, Can Peng, et al.. (2024). EGCG drives gut microbial remodeling-induced epithelial GPR43 activation to lessen Th1 polarization in colitis. Redox Biology. 75. 103291–103291. 15 indexed citations
4.
Hu, Han, et al.. (2024). Serum metabolomics reveals the anti-aging effect of royal jelly in D-galactose induced aging mice. Journal of Functional Foods. 123. 106597–106597. 2 indexed citations
5.
Hu, Han, et al.. (2023). Transcriptional profiles of TGF-β superfamily members in the lumbar DRGs and the effects of activins A and C on inflammatory pain in rats. Journal of Physiology and Biochemistry. 79(2). 313–325. 3 indexed citations
6.
Han, Bin, Esmaeil Amiri, Han Hu, et al.. (2022). The molecular basis of socially induced egg-size plasticity in honey bees. eLife. 11. 8 indexed citations
7.
Han, Bin, Fan Wu, Han Hu, et al.. (2021). Tachykinin signaling inhibits task-specific behavioral responsiveness in honeybee workers. eLife. 10. 12 indexed citations
8.
Meng, Lifeng, et al.. (2021). Phosphoproteomic basis of neuroplasticity in the antennal lobes influences the olfactory differences between A. mellifera and A. cerana honeybees. Journal of Proteomics. 251. 104413–104413. 6 indexed citations
9.
Zhang, Xufeng, Han Hu, Bin Han, et al.. (2020). The Neuroproteomic Basis of Enhanced Perception and Processing of Brood Signals That Trigger Increased Reproductive Investment in Honeybee (Apis mellifera) Workers. Molecular & Cellular Proteomics. 19(10). 1632–1648. 11 indexed citations
10.
Hu, Han, Feng Mao, Xufeng Zhang, et al.. (2019). In-depth Proteome of the Hypopharyngeal Glands of Honeybee Workers Reveals Highly Activated Protein and Energy Metabolism in Priming the Secretion of Royal Jelly. Molecular & Cellular Proteomics. 18(4). 606–621. 46 indexed citations
11.
Wu, Fan, Bin Han, Han Hu, et al.. (2019). Mechanistic insight into binding interaction between chemosensory protein 4 and volatile larval pheromones in honeybees (Apis mellifera). International Journal of Biological Macromolecules. 141. 553–563. 15 indexed citations
12.
Cheng, Han, Bin Han, Feng Mao, et al.. (2017). Phosphoproteome Analysis Reveals Phosphorylation Underpinnings in the Brains of Nurse and Forager Honeybees (Apis mellifera). Scientific Reports. 7(1). 1973–1973. 14 indexed citations
13.
Meng, Lifeng, Feng Mao, Yu Fang, et al.. (2017). Proteomics Reveals the Molecular Underpinnings of Stronger Learning and Memory in Eastern Compared to Western Bees. Molecular & Cellular Proteomics. 17(2). 255–269. 23 indexed citations
14.
Hu, Han, Nan Zheng, Wenting Dai, et al.. (2016). Immortalized bovine mammary epithelial cells express stem cell markers and differentiate in vitro. Cell Biology International. 40(8). 861–872. 16 indexed citations
15.
Fan, Pei, Bin Han, Feng Mao, et al.. (2016). Functional and Proteomic Investigations Reveal Major Royal Jelly Protein 1 Associated with Anti-hypertension Activity in Mouse Vascular Smooth Muscle Cells. Scientific Reports. 6(1). 30230–30230. 40 indexed citations
16.
Hu, Han. (2015). Development of duplex Taq Man real-time PCR to detect Vibrio cholerae and Vibrio mimicus. 1 indexed citations
17.
Hu, Han, et al.. (2015). Leucine and histidine independently regulate milk protein synthesis in bovine mammary epithelial cells via mTOR signaling pathway. Journal of Zhejiang University SCIENCE B. 16(6). 560–572. 57 indexed citations
18.
Yu, Wen‐Han, Han Hu, Qingde Zhou, Yu Xia, & Salomon Amar. (2010). Bioinformatics Analysis of Macrophages Exposed to Porphyromonas gingivalis: Implications in Acute vs. Chronic Infections. PLoS ONE. 5(12). e15613–e15613. 14 indexed citations
19.
Hu, Han, Jiaqi Wang, Dengpan Bu, et al.. (2009). In Vitro Culture and Characterization of a Mammary Epithelial Cell Line from Chinese Holstein Dairy Cow. PLoS ONE. 4(11). e7636–e7636. 72 indexed citations
20.
Hu, Han. (2005). EFFECTS OF Fe~(3+) ON GROWTH AND PHOTOSYNTHESIS OF OSCILLATORIA PLANCTONICA. Acta Hydrobiologica Sinica. 1 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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