Kui Jiang

876 citations
23 papers · 330 · h-index 10

Impact in

    • Ovarian cancer diagnosis and treatment
    • Cancer, Lipids, and Metabolism
    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism

Papers in

Kui Jiang

21 papers receiving 324 citations

Peers

Kui Jiang
Comparison fields: 5 of 58
  • Reproductive Medicine 54
  • Cancer Research 90
  • Oncology 98
  • Microbiology 20
  • Molecular Biology 182
Replace Yu-Ping Liao with:
Yu-Ping Liao Taiwan
Hiroe Nakamura Japan
Yunlim Kim South Korea
Haiyan Dai China
ME Sherman United States
М. К. Ибрагимова Russia
Lorenzo Alonso-Carrión Spain
Monique Ummelen Netherlands
Aušra Sasnauskienė Lithuania
Kui Jiang relative to Yu-Ping Liao Taiwan Yu-Ping Liao's profile →
Citations per field
00.5×3.3×
Yu-Ping Liao · 1×
Citations per year

Countries citing papers authored by Kui Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Kui Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201958
2 202249
3 201644
4 202137
5 201828
6 202222
7 201820
8 201716
9 201512
10 20229
11 20197
12 20225
13 20244
14 20244
15 20233
16 20213
17 20213
18 20242
19 20242
20 20211

About Kui Jiang

Kui Jiang is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Molecular Biology, Reproductive Medicine and Epidemiology, having authored 23 papers that have together received 330 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (7 papers), PARP inhibition in cancer therapy (5 papers), Endometrial and Cervical Cancer Treatments (3 papers), Advanced Breast Cancer Therapies (3 papers), Cancer, Lipids, and Metabolism (2 papers), Epigenetics and DNA Methylation (2 papers), Cancer-related molecular mechanisms research (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Reproductive Medicine (54 citations), Cancer Research (90 citations), Oncology (98 citations), Microbiology (20 citations) and Molecular Biology (182 citations). Kui Jiang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Liping Fang, Yue Wang, Min Wang, Hailing Cheng, Pixu Liu, Xiaolin Sang, Fuwen Luo, Zhiwei Tao, Haojie Huang and Jun Zhang. Their work appears in journals such as Journal of Clinical Oncology, OncoTargets and Therapy, Annals of Oncology, Oncotarget and Clinical & Translational Oncology.

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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