Tim Chan

497 citations
20 papers · 343 indexed · h-index 10

Impact in

    • Cardiac Arrest and Resuscitation
    • Trauma and Emergency Care Studies
    • Emergency and Acute Care Studies
    • Cancer, Lipids, and Metabolism

Papers in

Tim Chan

18 papers receiving 335 citations

Peers

Tim Chan
Comparison fields: 5 of 68
  • Emergency Medicine 123
  • Cancer Research 55
  • Pulmonary and Respiratory Medicine 113
  • Endocrinology, Diabetes and Metabolism 49
  • Radiology, Nuclear Medicine and Imaging 54
Replace G. Plataniotis with:
G. Plataniotis Greece
Kambiz Ghafourian United States
Kazım Şenol Türkiye
Yi‐Zarn Wang United States
Mei Xu China
Yoshitaro Yoshida Japan
Rosato Fe Spain
Mahyar Mohammadifard Iran
Saulius Paškauskas Lithuania
Vladimir Djukić Serbia
Tim Chan relative to G. Plataniotis Greece G. Plataniotis's profile →
Citations per field
00.5×10×15×18×
G. Plataniotis · 1×
Citations per year

Countries citing papers authored by Tim Chan

Since Specialization
Citations

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

Fields of papers citing papers by Tim Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201887
2 201644
3
Inhibition of insulin-like growth factor signaling pathways in mammary gland by pure antiestrogen ICI 182,780.
200142
4 200134
5 201925
6 200117
7 201816
8 201816
9 201815
10 201710
11 20208
12 20008
13 20226
14 20235
15 20185
16 20012
17 20181
18 20191
19 20201
20 20200

About Tim Chan

Tim Chan is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Radiology, Nuclear Medicine and Imaging, Hematology and Genetics, having authored 20 papers that have together received 343 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (9 papers), Radiopharmaceutical Chemistry and Applications (5 papers), Cardiac Arrest and Resuscitation (4 papers), Multiple Myeloma Research and Treatments (4 papers), Cancer Treatment and Pharmacology (2 papers), Trauma and Emergency Care Studies (2 papers), Prostate Cancer Diagnosis and Treatment (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Emergency Medicine (123 citations), Cancer Research (55 citations), Pulmonary and Respiratory Medicine (113 citations), Endocrinology, Diabetes and Metabolism (49 citations) and Radiology, Nuclear Medicine and Imaging (54 citations). Tim Chan has collaborated with scholars based in Hong Kong, China and Singapore. Frequent co-authors include Hung Huynh, Michaël Pollak, Kuen Chan, Darren M.C. Poon, Chuan Young Ng, Choon Kiat Ong, Jamie Hutchison, Damon C. Scales, Dennis T. Ko and Sheldon Cheskes. Their work appears in journals such as Clinical Genitourinary Cancer, Endocrinology, Journal of Clinical Oncology, Annals of Oncology and Resuscitation.

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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