Chen Hu

477 citations
31 papers · 224 · h-index 9

Impact in

Papers in

Chen Hu

28 papers receiving 220 citations

Peers

Chen Hu
Comparison fields: 5 of 84
  • Dermatology 62
  • Immunology and Allergy 37
  • Physiology 48
  • Biological Psychiatry 3
  • Molecular Biology 81
Replace Anu Pasanen with:
Anu Pasanen Finland
David Pascoe United States
Berit Bang Norway
Naoko Takeo Japan
T. M. Finch United Kingdom
Joanna Jaros United States
Julia Tau Argentina
Yuhui Ouyang China
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Maria de Fátima S. P. de Oliveira Brazil
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Citations per field
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Citations per year

Countries citing papers authored by Chen Hu

Since Specialization
Citations

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

Fields of papers citing papers by Chen Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202138
2 201529
3 201922
4 202014
5
[The situation of children neglect between left-behind children and living-with-parents children in rural areas of two western provinces of China].
201213
6 202312
7 202410
8
NEW GENERA AND SPECIES OF THE LATE TRIASSIC PLANTS FROM YUNGJEN,YUNNAN,I.
19748
9 20218
10
Anti-Epstein-Barr virus antibodies in systemic lupus erythematosus.
19888
11 20198
12 20186
13 20256
14 20185
15 19935
16
Antioxidants in leaves of Rosa rugosa
19974
17 20224
18 20234
19 20084
20 20213

About Chen Hu

Chen Hu is a scholar working on Molecular Biology, Dermatology, Plant Science, Physiology and Immunology and Allergy, having authored 31 papers that have together received 224 indexed citations. Recurring topics across this work include Dermatology and Skin Diseases (7 papers), Asthma and respiratory diseases (5 papers), Allergic Rhinitis and Sensitization (3 papers), Immune Response and Inflammation (2 papers), Complementary and Alternative Medicine Studies (2 papers), Plant pathogens and resistance mechanisms (2 papers), Plant Reproductive Biology (2 papers) and Plant Pathogens and Fungal Diseases (1 paper). The work is most often cited by research in Dermatology (62 citations), Immunology and Allergy (37 citations), Physiology (48 citations), Biological Psychiatry (3 citations) and Molecular Biology (81 citations). Chen Hu has collaborated with scholars based in China, Netherlands and Canada. Frequent co-authors include Tamar Nijsten, Liesbeth Duijts, Suzanne G.M.A. Pasmans, Johan C. de Jongste, Nicolette W. de Jong, Zhangqi Yang, Evelien R. van Meel, Christophe Piketty, Nicole S. Erler and Ying Hu. Their work appears in journals such as British Journal of Dermatology, Forests, One Health, Scientific Reports and Medicine.

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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