Kai Chen

2.6k citations
87 papers · 1.4k · h-index 22

Impact in

Papers in

    • Breast Cancer Treatment Studies 44
    • HER2/EGFR in Cancer Research 15
    • Global Cancer Incidence and Screening 9

Kai Chen

81 papers receiving 1.4k citations

Peers

Kai Chen
Comparison fields: 5 of 105
  • Cancer Research 718
  • Pathology and Forensic Medicine 560
  • Dermatology 227
  • Oncology 493
  • Surgery 427
Replace Lisa M. Sclafani with:
Lisa M. Sclafani United States
Giuseppe Canavese Italy
Byung Joo Song South Korea
Hiroshi Yagata Japan
Byung Joo Chae South Korea
F. Campana France
Naveen Faridi Pakistan
Sung Whan Ha South Korea
Daniel Vorobiof South Africa
Thomas E. Seay United States
Kai Chen relative to Lisa M. Sclafani United States Lisa M. Sclafani's profile →
Citations per field
00.5×2.8×
Lisa M. Sclafani · 1×
Citations per year

Countries citing papers authored by Kai Chen

Since Specialization
Citations

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

Fields of papers citing papers by Kai Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019119
2 201793
3 201591
4 201474
5 201952
6 201350
7 201549
8 201644
9 201536
10 201635
11 201634
12 201533
13 201732
14 201129
15 201227
16
Expression profile and prognostic values of STAT family members in non-small cell lung cancer.
201927
17 201725
18 201325
19 201524
20 201224

About Kai Chen

Kai Chen is a scholar working on Cancer Research, Oncology, Pathology and Forensic Medicine, Surgery and Pulmonary and Respiratory Medicine, having authored 87 papers that have together received 1.4k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (44 papers), Breast Lesions and Carcinomas (28 papers), HER2/EGFR in Cancer Research (15 papers), Breast Implant and Reconstruction (12 papers), Global Cancer Incidence and Screening (9 papers), Cancer and Skin Lesions (8 papers), Advanced Breast Cancer Therapies (6 papers) and Salivary Gland Tumors Diagnosis and Treatment (5 papers). The work is most often cited by research in Cancer Research (718 citations), Pathology and Forensic Medicine (560 citations), Dermatology (227 citations), Oncology (493 citations) and Surgery (427 citations). Kai Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Fengxi Su, Liling Zhu, Erwei Song, Shunrong Li, Lisa K. Jacobs, Weijuan Jia, Jieqiong Liu, Qiang Liu, Fengxi Su and Nanyan Rao. Their work appears in journals such as Annals of Surgical Oncology, Oncotarget, PLoS ONE, European Radiology and Medicine.

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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