Kangkai Xia

404 citations
13 papers · 297 · h-index 11

Impact in

Papers in

    • Ubiquitin and proteasome pathways 6
    • TGF-β signaling in diseases 2
    • Cancer-related gene regulation 2
    • Protease and Inhibitor Mechanisms 3

Kangkai Xia

13 papers receiving 296 citations

Peers

Kangkai Xia
Comparison fields: 5 of 62
  • Endocrine and Autonomic Systems 61
  • Aging 12
  • Cancer Research 68
  • Geriatrics and Gerontology 12
  • Molecular Biology 174
Replace Seyed Mohammad Mahdi Rasa with:
Seyed Mohammad Mahdi Rasa Germany
Abraham Q. Kohrman United States
Sophie Gilbert Canada
Nicolas Gordon United States
Charlotte Beaver United Kingdom
Yuyang Li China
Marc Pagès-Gallego Netherlands
Ankita Saini United States
Xiaolin Sang China
Anna Sawicka Austria
Kangkai Xia relative to Seyed Mohammad Mahdi Rasa Germany Seyed Mohammad Mahdi Rasa's profile →
Citations per field
00.5×8.7×
Seyed Mohammad Mahdi Rasa · 1×
Citations per year

Countries citing papers authored by Kangkai Xia

Since Specialization
Citations

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

Fields of papers citing papers by Kangkai Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 201969
2 201760
3 201924
4 202120
5 201820
6 202118
7 202118
8 202117
9 202016
10 202311
11 202110
12 20188
13 20216

About Kangkai Xia

Kangkai Xia is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Oncology and Endocrine and Autonomic Systems, having authored 13 papers that have together received 297 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (6 papers), Protease and Inhibitor Mechanisms (3 papers), TGF-β signaling in diseases (2 papers), Nanoplatforms for cancer theranostics (2 papers), Cancer-related gene regulation (2 papers), Photodynamic Therapy Research Studies (2 papers), Circadian rhythm and melatonin (2 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (61 citations), Aging (12 citations), Cancer Research (68 citations), Geriatrics and Gerontology (12 citations) and Molecular Biology (174 citations). Kangkai Xia has collaborated with scholars based in China and United States. Frequent co-authors include Huijian Wu, Shujing Li, Yanan Li, Bowen Li, Xiahui Li, Yuxi Yang, Yangyang Yang, Zhaowei Xu, Xiao‐Yan Bai and Jian Wang. Their work appears in journals such as Cell Death and Disease, Cancer Cell International, Cancer Letters, Cell Death Discovery and Oncogenesis.

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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