Bin S. Teh

12.1k citations
374 papers · 8.4k indexed · h-index 48

Impact in

Papers in

Bin S. Teh

358 papers receiving 8.3k citations

Peers

Bin S. Teh
Comparison fields: 5 of 138
  • Radiation 1.9k
  • Otorhinolaryngology 715
  • Pulmonary and Respiratory Medicine 4.0k
  • Genetics 966
  • Oncology 2.0k
Replace Christian Rübe with:
Christian Rübe Germany
Timothy E. Schultheiss United States
Vivian Weinberg United States
Kazuhiko Ogawa Japan
Mohammed Mohiuddin United States
D. Azria France
Anca-Ligia Grosu Germany
Dennis C. Shrieve United States
Martin Stuschke Germany
Claus Rödel Germany
Bin S. Teh relative to Christian Rübe Germany Christian Rübe's profile →
Citations per field
00.5×1.5×2.4×
Christian Rübe · 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-authorship network

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
#Work
1 20240
2 20240
3 20232
4 202113
5 20191
6 201920
7 201818
8 20171
9 201714
10 201538
11 201440
12 20149
13 201210
14 201122
15 201114
16 201181
17 200612
18 200251
19
Induction of apoptosis by tetrandrine: Comparison with other immunosuppressive agents
19923
20 198923

About Bin S. Teh

Bin S. Teh is a scholar working on Radiation, Otorhinolaryngology, Pulmonary and Respiratory Medicine, Genetics and Oncology, having authored 374 papers that have together received 8.4k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (79 papers), Glioma Diagnosis and Treatment (48 papers), Prostate Cancer Diagnosis and Treatment (46 papers), Brain Metastases and Treatment (41 papers), Prostate Cancer Treatment and Research (38 papers), Breast Cancer Treatment Studies (35 papers), Lung Cancer Diagnosis and Treatment (32 papers) and Meningioma and schwannoma management (30 papers). The work is most often cited by research in Radiation (1.9k citations), Otorhinolaryngology (715 citations), Pulmonary and Respiratory Medicine (4.0k citations), Genetics (966 citations) and Oncology (2.0k citations). Bin S. Teh has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include E. Brian Butler, Shiao Y. Woo, Arnold C. Paulino, Vivek Verma, 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, Radiotherapy and Oncology, Journal of Clinical Oncology, Future 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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