GH Tan

537 citations
9 papers · 386 · h-index 6

Impact in

  • Oncology top 10%
    • Inflammatory Biomarkers in Disease Prognosis
    • Cancer Immunotherapy and Biomarkers
    • Cancer Risks and Factors
    • Cancer, Lipids, and Metabolism
    • Breast Cancer Treatment Studies

Papers in

    • Mycobacterium research and diagnosis 1
    • Cervical Cancer and HPV Research 1
    • Infectious Diseases and Tuberculosis 1

GH Tan

9 papers receiving 376 citations

Peers

GH Tan
Comparison fields: 5 of 62
  • Oncology 247
  • Cancer Research 61
  • Immunology 36
  • Obstetrics and Gynecology 12
  • Pulmonary and Respiratory Medicine 43
Replace Sang-Jeon Lee with:
Sang-Jeon Lee South Korea
Alina Abramian Germany
Bhuvana Srinivasan Australia
Mária Gődény Hungary
Julius Moratin Germany
Vesna Janevska North Macedonia
Catherine A. Bingham United States
K. Lutz Germany
Keisuke Shigeta Japan
Manabu Arai Japan
GH Tan relative to Sang-Jeon Lee South Korea Sang-Jeon Lee's profile →
Citations per field
00.5×1.5×1.9×
Sang-Jeon Lee · 1×
Citations per year

Countries citing papers authored by GH Tan

Since Specialization
Citations

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

Fields of papers citing papers by GH Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2015279
2 200735
3 198926
4 200614
5 201412
6 201412
7
Clinicopathological features and survival of testicular tumours in a Southeast Asian university hospital: a ten-year review.
20115
8 20112
9
Tuberculosis of the prostate presenting as benign prostatic hyperplasia.
20131

About GH Tan

GH Tan is a scholar working on Epidemiology, Surgery, Oncology, Cognitive Neuroscience and Rheumatology, having authored 9 papers that have together received 386 indexed citations. Recurring topics across this work include Inflammatory Biomarkers in Disease Prognosis (1 paper), Immunotherapy and Immune Responses (1 paper), Mycobacterium research and diagnosis (1 paper), Infectious Diseases and Tuberculosis (1 paper), Global Cancer Incidence and Screening (1 paper), Antimicrobial Peptides and Activities (1 paper), Cervical Cancer and HPV Research (1 paper) and Myofascial pain diagnosis and treatment (1 paper). The work is most often cited by research in Oncology (247 citations), Cancer Research (61 citations), Immunology (36 citations), Obstetrics and Gynecology (12 citations) and Pulmonary and Respiratory Medicine (43 citations). GH Tan has collaborated with scholars based in Malaysia, Netherlands and China. Frequent co-authors include Nur Aishah Mohd Taib, Nirmala Bhoo‐Pathy, Suniza Jamaris, Rafid Salim Jabir, K.P. Ng, Dennis J. McCance, Hui‐Wen Cheng, Jack Cuzick, Bianca De Stavola and Mee‐Hoong See. Their work appears in journals such as British Journal of Cancer, Cancer Gene Therapy, Cancer Epidemiology, Journal of Men s Health and Malaysian Orthopaedic Journal.

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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