Ching‐Chan Lin

32 papers receiving 477 citations

Peers

Ching‐Chan Lin
Comparison fields: 5 of 81
  • Otorhinolaryngology 37
  • Hematology 92
  • Cancer Research 105
  • Oncology 135
  • Genetics 45
Replace Giammarco Surico with:
Giammarco Surico Italy
Kartik Sehgal United States
Anupam Sarma India
Emily Curran United States
Anne‐Marie Maddox United States
Rajnish Nagarkar India
Steve Andresen United States
Meenal Sharma India
Dzung Le United States
Ana Carolina de Carvalho Brazil
Ching‐Chan Lin relative to Giammarco Surico Italy Giammarco Surico's profile →
Citations per field
00.5×6.3×
Giammarco Surico · 1×
Citations per year

Countries citing papers authored by Ching‐Chan Lin

Since Specialization
Citations

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

Fields of papers citing papers by Ching‐Chan Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201664
2 201743
3 201842
4 201738
5 202235
6 201234
7 202026
8 201726
9 202016
10 202414
11 202413
12 201413
13
Resveratrol-mediated ADAM9 degradation decreases cancer progression and provides synergistic effects in combination with chemotherapy.
202012
14 201810
15 20229
16 20159
17 20228
18 20157
19 20237
20 20227

About Ching‐Chan Lin

Ching‐Chan Lin is a scholar working on Molecular Biology, Oncology, Surgery, Otorhinolaryngology and Pulmonary and Respiratory Medicine, having authored 32 papers that have together received 481 indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (5 papers), Peptidase Inhibition and Analysis (4 papers), Acute Myeloid Leukemia Research (3 papers), Urinary and Genital Oncology Studies (3 papers), Head and Neck Surgical Oncology (3 papers), Hematopoietic Stem Cell Transplantation (3 papers), Lung Cancer Treatments and Mutations (3 papers) and Brain Metastases and Treatment (2 papers). The work is most often cited by research in Otorhinolaryngology (37 citations), Hematology (92 citations), Cancer Research (105 citations), Oncology (135 citations) and Genetics (45 citations). Ching‐Chan Lin has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Ching-Yun Hsieh, Su‐Peng Yeh, Chen‐Yuan Lin, Li‐Yuan Bai, Wei‐Chao Chang, Chang‐Fang Chiu, Yuh‐Pyng Sher, Chi‐Rei Yang, Chi‐Ping Huang and Shih-Yi Lin. Their work appears in journals such as Scientific Reports, Molecular Oncology, Leukemia Research, BMC Cancer and Investigational New Drugs.

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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