T.Y. Ng

825 citations
33 papers · 665 · h-index 16

Impact in

Papers in

    • Lung Cancer Research Studies 2
    • Intraperitoneal and Appendiceal Malignancies 3
    • Esophageal and GI Pathology 2

T.Y. Ng

32 papers receiving 625 citations

Peers

T.Y. Ng
Comparison fields: 5 of 69
  • Obstetrics and Gynecology 184
  • Reproductive Medicine 103
  • Oncology 93
  • Cancer Research 50
  • Epidemiology 100
Replace K. K. Dhar with:
K. K. Dhar United Kingdom
Jennifer K. Burzawa United States
Rainer Lehner Austria
Kar‐Fai Tam Hong Kong
Jitti Hanprasertpong Thailand
Jung Mi Byun South Korea
Jan Hauspy Belgium
Anne T. OʼMeara United States
Luis Sanfrutos Spain
Ramey D. Littell United States
T.Y. Ng relative to K. K. Dhar United Kingdom K. K. Dhar's profile →
Citations per field
00.5×1.7×
K. K. Dhar · 1×
Citations per year

Countries citing papers authored by T.Y. Ng

Since Specialization
Citations

This map shows the geographic impact of T.Y. Ng'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 T.Y. Ng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.Y. Ng more than expected).

Fields of papers citing papers by T.Y. Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T.Y. Ng. 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 T.Y. Ng. The network helps show where T.Y. Ng may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200385
2 200162
3 200356
4 199748
5 200047
6 200344
7 200144
8 200335
9 200132
10 200532
11 200325
12 199825
13 200118
14 199717
15 199817
16 199915
17 200314
18 19967
19
Prevention of lymphoedema using omentoplasty after pelvic lymphadenectomy: a prospective randomised controlled trial.
20087
20
Clinical experience with the Silc Cup Vacuum Extractor.
19936

About T.Y. Ng

T.Y. Ng is a scholar working on Oncology, Surgery, Molecular Biology, Obstetrics and Gynecology and Reproductive Medicine, having authored 33 papers that have together received 665 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (6 papers), Endometrial and Cervical Cancer Treatments (6 papers), Cervical Cancer and HPV Research (3 papers), Intraperitoneal and Appendiceal Malignancies (3 papers), Gestational Trophoblastic Disease Studies (3 papers), Lung Cancer Research Studies (2 papers), Esophageal and GI Pathology (2 papers) and Lung Cancer Treatments and Mutations (2 papers). The work is most often cited by research in Obstetrics and Gynecology (184 citations), Reproductive Medicine (103 citations), Oncology (93 citations), Cancer Research (50 citations) and Epidemiology (100 citations). T.Y. Ng has collaborated with scholars based in Hong Kong, China and Australia. Frequent co-authors include Hys Ngan, L.C. Wong, Danny Cheng, Any Cheung, A. Crandon, Robyn Cheuk, James Nicklin, Lewis Perrin, K. F. Tam and Sue Seen Tsing Lo. Their work appears in journals such as Gynecologic Oncology, International Journal of Gynecological Cancer, European Journal of Cancer, Tumor Biology and Supportive Care in Cancer.

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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