Xiaoting Hong

1.3k citations
26 papers · 983 · h-index 14

Impact in

    • MicroRNA in disease regulation
    • Connexins and lens biology
    • Histone Deacetylase Inhibitors Research
    • Heat shock proteins research
    • Nicotinic Acetylcholine Receptors Study
    • Protein Degradation and Inhibitors

Papers in

    • Connexins and lens biology 7
    • Heat shock proteins research 6
    • Metabolism, Diabetes, and Cancer 2
    • Extracellular vesicles in disease 2
    • Signaling Pathways in Disease 2
    • Cancer, Lipids, and Metabolism 2

Xiaoting Hong

26 papers receiving 973 citations

Peers

Xiaoting Hong
Comparison fields: 5 of 88
  • Cancer Research 127
  • Molecular Biology 600
  • Pathology and Forensic Medicine 127
  • Oncology 168
  • Genetics 63
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Roben G. Gieling United Kingdom
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Zhenyu Ji United States
Momoe Itsumi Japan
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Citations per field
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Citations per year

Countries citing papers authored by Xiaoting Hong

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoting Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaoting Hong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiaoting Hong Line = papers co-authored together Xiaoting Hong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015272
2 2015127
3 201399
4 200955
5 201153
6 201848
7 202046
8 201045
9 201944
10 201733
11 202029
12 202218
13 201915
14 202313
15 201112
16 202212
17 202112
18 201710
19 202110
20 20239

About Xiaoting Hong

Xiaoting Hong is a scholar working on Molecular Biology, Cancer Research, Pharmacology, Oncology and Cell Biology, having authored 26 papers that have together received 983 indexed citations. Recurring topics across this work include Connexins and lens biology (7 papers), Heat shock proteins research (6 papers), Berberine and alkaloids research (4 papers), Pancreatic and Hepatic Oncology Research (3 papers), Cancer, Lipids, and Metabolism (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Extracellular vesicles in disease (2 papers) and Signaling Pathways in Disease (2 papers). The work is most often cited by research in Cancer Research (127 citations), Molecular Biology (600 citations), Pathology and Forensic Medicine (127 citations), Oncology (168 citations) and Genetics (63 citations). Xiaoting Hong has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Andrew L. Harris, Christian C. Naus, Wun Chey Sin, Tianhui Hu, Liang Tao, Qin Wang, Yan-yan Zhan, Xuhui Tong, Li Yu and He Huang. Their work appears in journals such as Cancers, Cancer Letters, Frontiers in Pharmacology, Clinical Cancer Research and Journal of Pharmacology and Experimental Therapeutics.

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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