Gigin Lin

4.3k total citations · 1 hit paper
141 papers, 2.8k citations indexed

About

Gigin Lin is a scholar working on Radiology, Nuclear Medicine and Imaging, Obstetrics and Gynecology and Molecular Biology. According to data from OpenAlex, Gigin Lin has authored 141 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Radiology, Nuclear Medicine and Imaging, 38 papers in Obstetrics and Gynecology and 30 papers in Molecular Biology. Recurrent topics in Gigin Lin's work include Endometrial and Cervical Cancer Treatments (34 papers), Radiomics and Machine Learning in Medical Imaging (24 papers) and MRI in cancer diagnosis (23 papers). Gigin Lin is often cited by papers focused on Endometrial and Cervical Cancer Treatments (34 papers), Radiomics and Machine Learning in Medical Imaging (24 papers) and MRI in cancer diagnosis (23 papers). Gigin Lin collaborates with scholars based in Taiwan, United States and United Kingdom. Gigin Lin's co-authors include Chyong‐Huey Lai, Tzu‐Chen Yen, Shu‐Hang Ng, Mei‐Ling Cheng, Koon‐Kwan Ng, Kung‐Chu Ho, Jiun‐Jie Wang, Yu‐Ting Huang, Chee‐Jen Chang and Meng‐Han Chiang and has published in prestigious journals such as Nature Medicine, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Gigin Lin

129 papers receiving 2.7k citations

Hit Papers

Sybil: A Validated Deep Learning Model to Predict Future ... 2023 2026 2024 2025 2023 25 50 75 100

Peers

Gigin Lin
Comparison fields: 5 of 129
  • Radiology, Nuclear Medicine and Imaging 1.0k
  • Obstetrics and Gynecology 809
  • Pulmonary and Respiratory Medicine 591
  • Reproductive Medicine 532
  • Molecular Biology 490
Replace Toralf Reimer with:
Toralf Reimer Germany
Aleksandra Gentry‐Maharaj United Kingdom
Christian Seitz Germany
Achim Rody Germany
Donal J. Brennan Ireland
Ke Hu China
Ahalya Premkumar United States
Stergios Boussios United Kingdom
Steffen Hauptmann Germany
Hui Liu China
Toralf Reimer Germany View profile →
Citations per field, relative to Gigin Lin
Gigin Lin · 1×
Citations per year, relative to Gigin Lin
Gigin Lin · 1×

Countries citing papers authored by Gigin Lin

Since Specialization
Citations

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

Fields of papers citing papers by Gigin Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gigin Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Gigin Lin. A scholar is included among the top collaborators of Gigin Lin 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 Gigin Lin. Gigin Lin 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
# Work Indexed citations
1 0
2 1
3 2
4 1
5 0
6 4
7
Sybil: A Validated Deep Learning Model to Predict Future Lung Cancer Risk From a Single Low-Dose Chest Computed Tomography breakdown →
114
8 1
9 0
10 16
11 57
12 4
13 135
14 3
15 10
16 9
17 76
18 6
19 39
20 33

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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2026