Eng‐Siew Koh

2.1k citations
69 papers · 1.3k indexed · h-index 19
Topics
Glioma Diagnosis and Treatment (31 papers)Radiomics and Machine Learning in Medical Imaging (11 papers)Brain Metastases and Treatment (10 papers)

In The Last Decade

Eng‐Siew Koh

64 papers receiving 1.2k citations

Peers

Eng‐Siew Koh
Comparison fields: 5 of 92
  • Pulmonary and Respiratory Medicine 512
  • Pathology and Forensic Medicine 315
  • Oncology 279
  • Radiology, Nuclear Medicine and Imaging 279
  • Genetics 265
Replace Katherine Zukotynski with:
Katherine Zukotynski Canada
Rita E. Weathers United States
Mike Hawkins United Kingdom
David Shultz Canada
Charles Ludgate Canada
Joseph Anderson United States
Marianne A. Kuenen Netherlands
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Thomas Hehr Germany
Julie A. Bradley United States
Eng‐Siew Koh relative to Katherine Zukotynski Canada Katherine Zukotynski's profile →
Citations per field
00.5×1.5×1.9×
Katherine Zukotynski · 1×
Citations per year

Countries citing papers authored by Eng‐Siew Koh

Since Specialization
Citations

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

Fields of papers citing papers by Eng‐Siew Koh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eng‐Siew Koh. 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 Eng‐Siew Koh. The network helps show where Eng‐Siew Koh may publish in the future.

Co-authorship network of co-authors of Eng‐Siew Koh

This figure shows the co-authorship network connecting the top 25 collaborators of Eng‐Siew Koh. A scholar is included among the top collaborators of Eng‐Siew Koh 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 Eng‐Siew Koh. Eng‐Siew Koh 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
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10 43
11 26
12 51
13 33
14
A RANDOMIZED PHASE II TRIAL OF VELIPARIB (V), RADIOTHERAPY (RT) AND TEMOZOLOMIDE (TMZ) IN PATIENTS (PTS) WITH UNMETHYLATED MGMT (uMGMT) GLIOBLASTOMA (GBM): THE VERTU STUDY
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ATHENA (GOG-3020/ENGOT-ov45): A randomised, double-blind, placebo-controlled, phase 3 study of rucaparib plus nivolumab following front-line platinum-based chemotherapy in ovarian cancer
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20 238

About Eng‐Siew Koh

Eng‐Siew Koh is a scholar working on Genetics, Radiation and Cancer Research, having authored 69 papers that have together received 1.3k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (31 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and Brain Metastases and Treatment (10 papers). The work is most often cited by research in Genetics (265 citations), Radiation (176 citations) and Pathology and Forensic Medicine (315 citations). Eng‐Siew Koh has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include M. Heydarian, Tu Tran, Richard Tsang, David Hodgson, Melania Pintilie, Rainer K. Sachs, David J. Brenner, Geoff P. Delaney, Lois Holloway and Barbara‐Ann Millar. Their work appears in journals such as Journal of Clinical Oncology, Cancer and International Journal of Radiation Oncology*Biology*Physics.

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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