Deanna Ng

665 citations
26 papers · 186 · h-index 9

Impact in

Papers in

Deanna Ng

25 papers receiving 186 citations

Peers

Deanna Ng
Comparison fields: 5 of 41
  • Pulmonary and Respiratory Medicine 111
  • Oncology 86
  • Cardiology and Cardiovascular Medicine 51
  • Rheumatology 20
  • Surgery 58
Replace K. V. V. N. Raju with:
K. V. V. N. Raju India
Eduardo Hiroshi Akaishi Brazil
Carine Ngo France
Hayden Snow Australia
Jun Gi Kim South Korea
Toufik Bouhadiba France
Takako Kono Japan
Molly M. Ford United States
Laurys Boudin France
A. Laforest France
Deanna Ng relative to K. V. V. N. Raju India K. V. V. N. Raju's profile →
Citations per field
00.5×3.4×
K. V. V. N. Raju · 1×
Citations per year

Countries citing papers authored by Deanna Ng

Since Specialization
Citations

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

Fields of papers citing papers by Deanna Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202035
2 202024
3 202114
4 201613
5 202211
6 202211
7 20188
8 20128
9 20148
10 20176
11 20166
12 20145
13 20185
14 20224
15 20224
16 20213
17 20233
18 20143
19 20233
20 20173

About Deanna Ng

Deanna Ng is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Surgery, Cardiology and Cardiovascular Medicine and Molecular Biology, having authored 26 papers that have together received 186 indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (9 papers), Cardiac tumors and thrombi (6 papers), Vascular Tumors and Angiosarcomas (4 papers), Colorectal Cancer Surgical Treatments (4 papers), Gastric Cancer Management and Outcomes (3 papers), Intraperitoneal and Appendiceal Malignancies (3 papers), Soft tissue tumor case studies (2 papers) and Gastrointestinal Tumor Research and Treatment (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (111 citations), Oncology (86 citations), Cardiology and Cardiovascular Medicine (51 citations), Rheumatology (20 citations) and Surgery (58 citations). Deanna Ng has collaborated with scholars based in Canada, Singapore and United States. Frequent co-authors include Carol J. Swallow, Grace Hwei Ching Tan, Melissa Ching Ching Teo, Karineh Kazazian, Sylvie Bonvalot, Adrian Kah Heng Chiow, Charles Honoré, Chandrajit P. Raut, Alessandro Gronchi and Piotr Rutkowski. Their work appears in journals such as Annals of Surgical Oncology, Scientific Reports, Journal of the American College of Surgeons, The American Journal of Surgical Pathology and European Journal of 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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