Tan Arulampalam

2.5k total citations
44 papers, 1.4k citations indexed

About

Tan Arulampalam is a scholar working on Oncology, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Tan Arulampalam has authored 44 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Oncology, 25 papers in Surgery and 13 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Tan Arulampalam's work include Colorectal Cancer Surgical Treatments (19 papers), Radiomics and Machine Learning in Medical Imaging (12 papers) and Colorectal Cancer Screening and Detection (9 papers). Tan Arulampalam is often cited by papers focused on Colorectal Cancer Surgical Treatments (19 papers), Radiomics and Machine Learning in Medical Imaging (12 papers) and Colorectal Cancer Screening and Detection (9 papers). Tan Arulampalam collaborates with scholars based in United Kingdom, United States and Spain. Tan Arulampalam's co-authors include Greg Wynn, Dimitris Visvikis, James Kinross, Durval C. Costa, Nikhil Pawa, I Taylor, R W Motson, Peter J. Ell, D. Francis and John D. Norton and has published in prestigious journals such as Journal of Clinical Oncology, British journal of surgery and Neurosurgery.

In The Last Decade

Tan Arulampalam

42 papers receiving 1.4k citations

Peers

Tan Arulampalam
Comparison fields: 5 of 109
  • Oncology 609
  • Surgery 588
  • Radiology, Nuclear Medicine and Imaging 388
  • Pulmonary and Respiratory Medicine 230
  • Biomedical Engineering 167
Replace Jean-Pierre E. N. Pierie with:
Jean-Pierre E. N. Pierie Netherlands
Alexandra Taylor United Kingdom
Rebecca Asher Australia
Christina Kim United States
Stephen H. Lee United States
Carlos A. Garberoglio United States
Jennifer M. Bell United States
Martina Kadmon Germany
Jensen T. C. Poon Hong Kong
Pin‐Chieh Wang United States
Jean-Pierre E. N. Pierie Netherlands View profile →
Citations per field, relative to Tan Arulampalam
Tan Arulampalam · 1×
Citations per year, relative to Tan Arulampalam
Tan Arulampalam · 1×

Countries citing papers authored by Tan Arulampalam

Since Specialization
Citations

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

Fields of papers citing papers by Tan Arulampalam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tan Arulampalam

This figure shows the co-authorship network connecting the top 25 collaborators of Tan Arulampalam. A scholar is included among the top collaborators of Tan Arulampalam 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 Tan Arulampalam. Tan Arulampalam 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 2
3 10
4 4
5 48
6 144
7 32
8 4
9 58
10 1
11 1
12 67
13 12
14 24
15 8
16 15
17 117
18 65
19 72
20 4

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026