Bin S. Teh

12.4k citations
377 papers · 8.5k · h-index 48

Impact in

Papers in

Bin S. Teh

363 papers receiving 8.3k citations

Peers

Bin S. Teh
Comparison fields: 5 of 127
  • Otorhinolaryngology 574
  • Radiation 1.3k
  • Pulmonary and Respiratory Medicine 2.8k
  • Genetics 760
  • Cancer Research 774
Replace Anca‐Ligia Grosu with:
Anca‐Ligia Grosu Germany
Martin Stuschke Germany
Timothy E. Schultheiss United States
Christian Rübe Germany
Kazuhiko Ogawa Japan
Mohammed Mohiuddin United States
Masato Hareyama Japan
Maria Werner‐Wasik United States
Dennis C. Shrieve United States
Michael Bamberg Germany
Bin S. Teh relative to Anca‐Ligia Grosu Germany Anca‐Ligia Grosu's profile →
Citations per field
00.5×1.5×
Anca‐Ligia Grosu · 1×
Citations per year

Countries citing papers authored by Bin S. Teh

Since Specialization
Citations

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

Fields of papers citing papers by Bin S. Teh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bin S. Teh. 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 Bin S. Teh. The network helps show where Bin S. Teh may publish in the future.

Co-authors

The 25 scholars most cited alongside Bin S. Teh, 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 Bin S. Teh Line = papers co-authored together Bin S. Teh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 377 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009300
2 2003291
3 2007252
4 1999236
5 2018225
6 2002185
7 2001156
8 2002153
9 1999140
10 2016132
11 2011125
12 2004116
13 2004106
14 2017105
15 2011102
16 201999
17 200695
18 200093
19 201788
20 200287

About Bin S. Teh

Bin S. Teh is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Radiation, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 377 papers that have together received 8.5k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (62 papers), Prostate Cancer Diagnosis and Treatment (41 papers), Glioma Diagnosis and Treatment (40 papers), Brain Metastases and Treatment (28 papers), Prostate Cancer Treatment and Research (26 papers), Lung Cancer Diagnosis and Treatment (25 papers), Head and Neck Cancer Studies (23 papers) and Breast Cancer Treatment Studies (21 papers). The work is most often cited by research in Otorhinolaryngology (574 citations), Radiation (1.3k citations), Pulmonary and Respiratory Medicine (2.8k citations), Genetics (760 citations) and Cancer Research (774 citations). Bin S. Teh has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include E. Brian Butler, Vivek Verma, Shiao Y. Woo, Arnold C. Paulino, Waqar Haque, Joseph Chiu, Walter H. Grant, Simon S. Lo, Hsin H Lu and E. Brian Butler. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Journal of Clinical Oncology, Future Oncology, Radiotherapy and Oncology and Expert Review of Anticancer Therapy.

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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