Cheng‐Tao Lin

795 total citations
26 papers, 627 citations indexed

About

Cheng‐Tao Lin is a scholar working on Nature and Landscape Conservation, Ecological Modeling and Epidemiology. According to data from OpenAlex, Cheng‐Tao Lin has authored 26 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Nature and Landscape Conservation, 8 papers in Ecological Modeling and 7 papers in Epidemiology. Recurrent topics in Cheng‐Tao Lin's work include Ecology and Vegetation Dynamics Studies (10 papers), Species Distribution and Climate Change (8 papers) and Immunotherapy and Immune Responses (6 papers). Cheng‐Tao Lin is often cited by papers focused on Ecology and Vegetation Dynamics Studies (10 papers), Species Distribution and Climate Change (8 papers) and Immunotherapy and Immune Responses (6 papers). Cheng‐Tao Lin collaborates with scholars based in Taiwan, United States and Australia. Cheng‐Tao Lin's co-authors include Chien‐Fu Hung, Liangmei He, Chyong‐Huey Lai, Jeremy Juang, Hung‐Hsueh Chou, Ting-Chang Chang, Lee Wu, Cornelia L. Trimble, Sara I. Pai and Maura L. Gillison and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Cancer Research.

In The Last Decade

Cheng‐Tao Lin

26 papers receiving 607 citations

Peers

Cheng‐Tao Lin
Comparison fields: 5 of 85
  • Epidemiology 284
  • Immunology 247
  • Molecular Biology 167
  • Surgery 89
  • Obstetrics and Gynecology 87
Caroline Reuter United Kingdom
Kyra Oswald‐Richter United States
Rasmi Thomas United States
Florian Kirchner Switzerland
Dean Sibthorpe United Kingdom
Malin Karlsson Sweden
Alberto Gómez Colombia
PM Johnson United Kingdom
Robyn Taylor Australia
K Nakajima Japan
Caroline Reuter United Kingdom View profile →
Citations per field, relative to Cheng‐Tao Lin
Cheng‐Tao Lin · 1×
Citations per year, relative to Cheng‐Tao Lin
Cheng‐Tao Lin · 1×

Countries citing papers authored by Cheng‐Tao Lin

Since Specialization
Citations

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

Fields of papers citing papers by Cheng‐Tao Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheng‐Tao Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng‐Tao Lin. A scholar is included among the top collaborators of Cheng‐Tao 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 Cheng‐Tao Lin. Cheng‐Tao 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 6
2 2
3 3
4 6
5 19
6 4
7 2
8 7
9 21
10 16
11 27
12 7
13 31
14 104
15 51
16 14
17 153
18 40
19 4
20
High-risk human papillomavirus deoxyribonucleic acid as an adjunct marker in cervical cytology.
2

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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