Chia‐Lin Chen

3.0k citations
50 papers · 2.2k indexed · 1 hit paper · h-index 25
Topics
Cancer, Hypoxia, and Metabolism (8 papers)Medical Imaging Techniques and Applications (6 papers)Cancer Cells and Metastasis (5 papers)
Partner nations
TaiwanUnited StatesJapan

In The Last Decade

Chia‐Lin Chen

49 papers receiving 2.1k citations

Hit Papers

Arginine Signaling and Cancer Metabolism2021202620222024202150100150

Peers

Chia‐Lin Chen
Comparison fields: 5 of 133
  • Molecular Biology 921
  • Cancer Research 498
  • Epidemiology 391
  • Pathology and Forensic Medicine 358
  • Oncology 329
Replace Gary G. Meadows with:
Gary G. Meadows United States
Fang Hua China
Wenjing Zhou China
Yutaka Shoji Japan
Donald K. Scott United States
Bei Zhang China
Brett T. Spear United States
Iván P. Uray United States
Chia‐Lin Chen relative to Gary G. Meadows United States Gary G. Meadows's profile →
Citations per field
00.5×3.9×
Gary G. Meadows · 1×
Citations per year

Countries citing papers authored by Chia‐Lin Chen

Since Specialization
Citations

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

Fields of papers citing papers by Chia‐Lin Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chia‐Lin Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Chia‐Lin Chen. A scholar is included among the top collaborators of Chia‐Lin Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chia‐Lin Chen. Chia‐Lin Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 3
3 6
4 56
5 310
6 14
7 90
8
Recurrent Melioidosis in Taiwan, 2004-2012
1
9 29
10 21
11 96
12 28
13 63
14 19
15 12
16 18
17 12
18 22
19 3
20 259

About Chia‐Lin Chen

Chia‐Lin Chen is a scholar working on Cancer Research, Oncology and Hepatology, having authored 50 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (8 papers), Medical Imaging Techniques and Applications (6 papers) and Cancer Cells and Metastasis (5 papers). The work is most often cited by research in Cancer Research (498 citations), Biochemistry (132 citations) and Pathology and Forensic Medicine (358 citations). Chia‐Lin Chen has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Keigo Machida, Vasu Punj, Yung‐Hsi Kao, Linda Sher, Sheng-Chieh Hsu, Hsing-Jien Kung, David K. Ann, Yun Yen, Stanley M. Tahara and Douglas E. Feldman. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Blood.

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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