Ling Chen

3.2k citations
58 papers · 1.1k · h-index 21

Impact in

    • Gastrointestinal Tumor Research and Treatment
  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research

Papers in

Ling Chen

54 papers receiving 1.0k citations

Peers

Ling Chen
Comparison fields: 5 of 106
  • Gastroenterology 114
  • Oncology 337
  • Pulmonary and Respiratory Medicine 384
  • Radiology, Nuclear Medicine and Imaging 250
  • Reproductive Medicine 73
Replace Kuno Lehmann with:
Kuno Lehmann Switzerland
Young Seok Cho South Korea
Weibin Xie China
Hideaki Miyauchi Japan
Ewald Wöll Austria
Fuhai Ma China
Zhe Liu China
Hong‐Hwa Chen Taiwan
Ling Chen relative to Kuno Lehmann Switzerland Kuno Lehmann's profile →
Citations per field
00.5×3.7×
Kuno Lehmann · 1×
Citations per year

Countries citing papers authored by Ling Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ling Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017108
2 201685
3 201964
4 202261
5 201944
6 201741
7 202136
8 201736
9 201935
10 200833
11 202232
12 201731
13 201631
14 201731
15 201429
16 202125
17 201925
18
T cell recruitment triggered by optimal dose platinum compounds contributes to the therapeutic efficacy of sequential PD-1 blockade in a mouse model of colon cancer.
202025
19 201523
20 202221

About Ling Chen

Ling Chen is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Surgery, Radiology, Nuclear Medicine and Imaging and Gastroenterology, having authored 58 papers that have together received 1.1k indexed citations. Recurring topics across this work include Gastric Cancer Management and Outcomes (19 papers), Gastrointestinal Tumor Research and Treatment (8 papers), Metastasis and carcinoma case studies (8 papers), Cancer Immunotherapy and Biomarkers (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Immunotherapy and Immune Responses (5 papers), Ovarian cancer diagnosis and treatment (5 papers) and Endometrial and Cervical Cancer Treatments (4 papers). The work is most often cited by research in Gastroenterology (114 citations), Oncology (337 citations), Pulmonary and Respiratory Medicine (384 citations), Radiology, Nuclear Medicine and Imaging (250 citations) and Reproductive Medicine (73 citations). Ling Chen has collaborated with scholars based in China, United States and Ethiopia. Frequent co-authors include Jian He, Yue Guan, Song Liu, Zhengyang Zhou, Alfred I. Neugut, June Y. Hou, Yun Ge, Jason D. Wright, Ana I. Tergas and Wenxian Guan. Their work appears in journals such as Gynecologic Oncology, Clinical Cancer Research, American Journal of Obstetrics and Gynecology, European Radiology and BMC Cancer.

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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