Cong Hu

639 citations
22 papers · 463 · h-index 14

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism
    • Immune cells in cancer
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation
    • Reproductive System and Pregnancy

Papers in

    • Immune cells in cancer 5
    • Reproductive System and Pregnancy 3
    • Immune Response and Inflammation 3
    • Immune Cell Function and Interaction 2
    • Biomarkers in Disease Mechanisms 1

Cong Hu

19 papers receiving 461 citations

Peers

Cong Hu
Comparison fields: 5 of 71
  • Cancer Research 100
  • Immunology 138
  • Biological Psychiatry 10
  • Complementary and alternative medicine 27
  • Molecular Biology 162
Replace Wei‐Yu Lin with:
Wei‐Yu Lin Taiwan
Suneetha Amara United States
Yen-Jen Chen Taiwan
Hyereen Kang South Korea
Jingjing Wei China
Gülçin Tezcan Türkiye
Huiying Chi China
Zhiheng Sun China
Shengchao Lin China
Cong Hu relative to Wei‐Yu Lin Taiwan Wei‐Yu Lin's profile →
Citations per field
00.5×
Wei‐Yu Lin · 1×
Citations per year

Countries citing papers authored by Cong Hu

Since Specialization
Citations

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

Fields of papers citing papers by Cong Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201960
2 202047
3 202245
4 201643
5 202038
6 202029
7 201928
8 202026
9 201925
10 201919
11 202017
12 202316
13 202215
14 202015
15 201613
16 202011
17 202110
18 20235
19 20191
20 20240

About Cong Hu

Cong Hu is a scholar working on Molecular Biology, Immunology, Complementary and alternative medicine, Cancer Research and Surgery, having authored 22 papers that have together received 463 indexed citations. Recurring topics across this work include Immune cells in cancer (5 papers), Reproductive System and Pregnancy (3 papers), Natural Compounds in Disease Treatment (3 papers), Immune Response and Inflammation (3 papers), Biochemical Acid Research Studies (2 papers), Immune Cell Function and Interaction (2 papers), Biomarkers in Disease Mechanisms (1 paper) and Endometriosis Research and Treatment (1 paper). The work is most often cited by research in Cancer Research (100 citations), Immunology (138 citations), Biological Psychiatry (10 citations), Complementary and alternative medicine (27 citations) and Molecular Biology (162 citations). Cong Hu has collaborated with scholars based in China, Ethiopia and Saudi Arabia. Frequent co-authors include Huanfa Yi, Bo Pang, Zhen Yu, Zhanchuan Ma, Zhonggao Xu, Hua Song, Hongmei Xu, Yiyang Li, Jie Hou and Jiawen Han. Their work appears in journals such as Drug Design Development and Therapy, Pharmacological Research, Medicine, Seminars in Ophthalmology and Cancer Cell International.

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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