Daniel Shao-Weng Tan

9.3k citations
173 papers · 4.8k indexed · 2 hit papers · h-index 34
Topics
Lung Cancer Treatments and Mutations (113 papers)Lung Cancer Research Studies (39 papers)Cancer Genomics and Diagnostics (38 papers)
Journals
Nature MedicineJournal of Clinical OncologySHILAP Revista de lepidopterología

In The Last Decade

Daniel Shao-Weng Tan

168 papers receiving 4.7k citations

Hit Papers

Isolation and retrieval of circulating tumor cells using ...201320262017202120132013100200300400500

Peers

Daniel Shao-Weng Tan
Comparison fields: 5 of 105
  • Oncology 2.5k
  • Pulmonary and Respiratory Medicine 2.0k
  • Molecular Biology 1.5k
  • Biomedical Engineering 1.2k
  • Cancer Research 1.0k
Replace Norbert Avril with:
Norbert Avril United States
Steven J. Chmura United States
Emmanouil Fokas Germany
Charles Ferté France
Ingeborg Tinhofer Germany
Mark De Ridder Belgium
Daniel M. Aebersold Switzerland
Jeffrey Y.C. Wong United States
Johannes H.A.M. Kaanders Netherlands
Ibiayi Dagogo‐Jack United States
Daniel Shao-Weng Tan relative to Norbert Avril United States Norbert Avril's profile →
Citations per field
00.5×2.7×
Norbert Avril · 1×
Citations per year

Countries citing papers authored by Daniel Shao-Weng Tan

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Shao-Weng Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Shao-Weng Tan. 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 Daniel Shao-Weng Tan. The network helps show where Daniel Shao-Weng Tan may publish in the future.

Co-authorship network of co-authors of Daniel Shao-Weng Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Shao-Weng Tan. A scholar is included among the top collaborators of Daniel Shao-Weng Tan 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 Daniel Shao-Weng Tan. Daniel Shao-Weng Tan 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 0
2 0
3 2
4 2
5 8
6 6
7 4
8 16
9 2
10 4
11 25
12 1
13 30
14 13
15 2
16 5
17 5
18 6
19 8
20 135

About Daniel Shao-Weng Tan

Daniel Shao-Weng Tan is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Cancer Research, having authored 173 papers that have together received 4.8k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (113 papers), Lung Cancer Research Studies (39 papers) and Cancer Genomics and Diagnostics (38 papers). The work is most often cited by research in Oncology (2.5k citations), Otorhinolaryngology (372 citations) and Cancer Research (1.0k citations). Daniel Shao-Weng Tan has collaborated with scholars based in Singapore, United States and Switzerland. Frequent co-authors include Wan‐Teck Lim, Chwee Teck Lim, Jongyoon Han, Ali Asgar S. Bhagat, Majid Ebrahimi Warkiani, Ross A. Soo, Bee Luan Khoo, Soo Chin Lee, Han Wei Hou and Zirui Li. Their work appears in journals such as Nature Medicine, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

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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