Haiyan Cai

913 citations
35 papers · 687 · h-index 14

Impact in

Papers in

    • Ubiquitin and proteasome pathways 8
    • Peroxisome Proliferator-Activated Receptors 5
    • Histone Deacetylase Inhibitors Research 4
    • Protein Degradation and Inhibitors 3
    • Cancer Immunotherapy and Biomarkers 4

Haiyan Cai

32 papers receiving 674 citations

Peers

Haiyan Cai
Comparison fields: 5 of 81
  • Oncology 270
  • Radiology, Nuclear Medicine and Imaging 171
  • Immunology 154
  • Molecular Biology 408
  • Cancer Research 46
Replace Dehua Lu with:
Dehua Lu China
Rachel E. Davis United States
Emily E. Brown United States
Michelle L. Kraus United States
Khadijeh Barzaman Iran
Erica L. Bradshaw‐Pierce United States
Ana Igea Spain
Binbin Cheng China
Y Uehara Japan
Haiyan Cai relative to Dehua Lu China Dehua Lu's profile →
Citations per field
00.5×5.8×
Dehua Lu · 1×
Citations per year

Countries citing papers authored by Haiyan Cai

Since Specialization
Citations

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

Fields of papers citing papers by Haiyan Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017167
2 201761
3 201755
4 201646
5 201740
6 202333
7 201931
8 201030
9 201429
10 201327
11 201926
12 201820
13 201217
14 202013
15 201813
16 202112
17 20169
18 20209
19 20238
20 20177

About Haiyan Cai

Haiyan Cai is a scholar working on Molecular Biology, Oncology, Immunology, Cellular and Molecular Neuroscience and Hematology, having authored 35 papers that have together received 687 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (8 papers), Peroxisome Proliferator-Activated Receptors (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), Histone Deacetylase Inhibitors Research (4 papers), Protein Degradation and Inhibitors (3 papers), Immunotherapy and Immune Responses (3 papers), Neuropeptides and Animal Physiology (3 papers) and Genetics and Neurodevelopmental Disorders (3 papers). The work is most often cited by research in Oncology (270 citations), Radiology, Nuclear Medicine and Imaging (171 citations), Immunology (154 citations), Molecular Biology (408 citations) and Cancer Research (46 citations). Haiyan Cai has collaborated with scholars based in China, Thailand and United Kingdom. Frequent co-authors include Aiwu Zhou, Ting Xu, Fei Zhang, Hudie Wei, Jiawei Wu, Yugang Wang, Pilin Wang, Xiaoyong Jiang, Xiaoxiao Wang and Yu Bai. Their work appears in journals such as Acta Pharmacologica Sinica, Oncotarget, European Journal of Medicinal Chemistry, Cell Discovery and Archives of Biochemistry and Biophysics.

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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