Chaoxin Hu

1.4k citations
18 papers · 920 · h-index 13

Impact in

  • Oncology top 10%
    • Drug Transport and Resistance Mechanisms
    • Pancreatic and Hepatic Oncology Research
    • Cancer Cells and Metastasis
  • Hematology top 10%
    • Chronic Myeloid Leukemia Treatments

Papers in

    • Epigenetics and DNA Methylation 4
    • Hedgehog Signaling Pathway Studies 3
    • Cancer-related Molecular Pathways 3
    • Pancreatic and Hepatic Oncology Research 3
    • Drug Transport and Resistance Mechanisms 3

Chaoxin Hu

18 papers receiving 905 citations

Peers

Chaoxin Hu
Comparison fields: 5 of 84
  • Oncology 367
  • Hematology 98
  • Cancer Research 128
  • Clinical Biochemistry 54
  • Genetics 83
Replace Yu Fukuda with:
Yu Fukuda United States
Jenai M. Kailey United States
Thomas Jascur United States
Marjaana Säily Finland
Masatatsu Yamamoto Japan
Elizabeth Hopper-Borge United States
Claudia Fiorini Italy
Ross O. Meyers United States
Sylvie Shen Australia
Lyn A. Mickley United States
Chaoxin Hu relative to Yu Fukuda United States Yu Fukuda's profile →
Citations per field
00.5×1.5×
Yu Fukuda · 1×
Citations per year

Countries citing papers authored by Chaoxin Hu

Since Specialization
Citations

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

Fields of papers citing papers by Chaoxin Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chaoxin Hu, 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 Chaoxin Hu Line = papers co-authored together Chaoxin Hu links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2008189
2 2012104
3 200793
4 201070
5 201169
6 201364
7 201560
8 201160
9 201254
10 201043
11 200734
12 201029
13 201427
14 201411
15 201310
16 20131
17 20101
18 20131

About Chaoxin Hu

Chaoxin Hu is a scholar working on Molecular Biology, Oncology, Clinical Biochemistry, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 18 papers that have together received 920 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (4 papers), Metabolism and Genetic Disorders (3 papers), Hedgehog Signaling Pathway Studies (3 papers), Cancer-related Molecular Pathways (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), Drug Transport and Resistance Mechanisms (3 papers), MicroRNA in disease regulation (2 papers) and Bioactive Compounds and Antitumor Agents (2 papers). The work is most often cited by research in Oncology (367 citations), Hematology (98 citations), Cancer Research (128 citations), Clinical Biochemistry (54 citations) and Genetics (83 citations). Chaoxin Hu has collaborated with scholars based in United States, Netherlands and China. Frequent co-authors include Alex Sparreboom, Ryan M. Franke, Kelly K. Filipski, Anirban Maitra, Shuiying Hu, Sharyn D. Baker, Shelley Orwick, Zhili Zuo, Venugopal Chenna and E. A. de Bruijn. Their work appears in journals such as Molecular Cancer Therapeutics, Clinical Cancer Research, Cancer Biology & Therapy, Oncotarget and International Journal of Cancer.

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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