Haining Gan

623 citations
14 papers · 531 · h-index 10

Impact in

    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers

Papers in

Haining Gan

13 papers receiving 523 citations

Peers

Haining Gan
Comparison fields: 5 of 73
  • Immunology 203
  • Oncology 222
  • Molecular Medicine 41
  • Complementary and alternative medicine 33
  • Pharmacology 33
Replace Xiancai Zhong with:
Xiancai Zhong South Korea
Jie Wan Kim South Korea
Abir Kumar Panda India
Ly Quoc Trung Japan
Guan-Cheng Huang Taiwan
Niloufar Mohammadkhani Iran
Juni Chakraborty India
Daniel Cruceriu Romania
Shanmuga Reddy Chilakapati United States
Hong Kyung Lee South Korea
Haining Gan relative to Xiancai Zhong South Korea Xiancai Zhong's profile →
Citations per field
00.5×2×2.5×
Xiancai Zhong · 1×
Citations per year

Countries citing papers authored by Haining Gan

Since Specialization
Citations

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

Fields of papers citing papers by Haining Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2019265
2 201854
3 201651
4 201836
5 201931
6 202127
7 202217
8 201814
9 202312
10 202011
11 20166
12 20224
13 20253
14 20250

About Haining Gan

Haining Gan is a scholar working on Complementary and alternative medicine, Cancer Research, Molecular Medicine, Molecular Biology and Physiology, having authored 14 papers that have together received 531 indexed citations. Recurring topics across this work include Curcumin's Biomedical Applications (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Traditional Chinese Medicine Analysis (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Cancer, Lipids, and Metabolism (2 papers), Immune Cell Function and Interaction (1 paper), Ginger and Zingiberaceae research (1 paper) and Parkinson's Disease Mechanisms and Treatments (1 paper). The work is most often cited by research in Immunology (203 citations), Oncology (222 citations), Molecular Medicine (41 citations), Complementary and alternative medicine (33 citations) and Pharmacology (33 citations). Haining Gan has collaborated with scholars based in China. Frequent co-authors include Dake Cai, Nanqi Huang, Yan Sun, Shangbiao Wu, Hanzhen Xiong, Guang‐Rong Yan, Xuejuan Liu, Weixiang Liang, Can Chen and Yaoshu Teng. Their work appears in journals such as Food Science & Nutrition, Journal of Chromatography B, Pharmaceutical Biology, Cell Cycle and Biopharmaceutics & Drug Disposition.

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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