Daniel Wong

949 citations
43 papers · 556 indexed · h-index 14

Impact in

Papers in

    • Soft tissue tumor case studies 5
    • Bone Tumor Diagnosis and Treatments 4
    • Renal Diseases and Glomerulopathies 4

Daniel Wong

38 papers receiving 536 citations

Peers

Daniel Wong
Comparison fields: 5 of 63
  • Cancer Research 136
  • Rheumatology 107
  • Surgery 286
  • Gastroenterology 32
  • Pulmonary and Respiratory Medicine 186
Replace Sait Sağer with:
Sait Sağer Türkiye
George N. Zografos Greece
Fatih Selçukbırıcık Türkiye
J. L. G. Blaauwgeers Netherlands
Byung Hee Lee South Korea
Ayman Allam Saudi Arabia
Thomas W. Mesko United States
Aras Emre Canda Türkiye
P. Vassilopoulos Greece
Biing-Shiun Huang Taiwan
Daniel Wong relative to Sait Sağer Türkiye Sait Sağer's profile →
Citations per field
00.5×3.7×
Sait Sağer · 1×
Citations per year

Countries citing papers authored by Daniel Wong

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20231
4 20230
5 20220
6 20221
7 202110
8 20192
9 201832
10 20177
11 201613
12 20158
13 20159
14 201416
15 201228
16 2011104
17 201128
18 201116
19 200929
20 200913

About Daniel Wong

Daniel Wong is a scholar working on Rheumatology, Nephrology, Pulmonary and Respiratory Medicine, Oral Surgery and Neurology, having authored 43 papers that have together received 556 indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (14 papers), Vascular Tumors and Angiosarcomas (6 papers), Tumors and Oncological Cases (6 papers), Soft tissue tumor case studies (5 papers), Neurofibromatosis and Schwannoma Cases (5 papers), Renal Diseases and Glomerulopathies (4 papers), Bone Tumor Diagnosis and Treatments (4 papers) and Oral and Maxillofacial Pathology (3 papers). The work is most often cited by research in Cancer Research (136 citations), Rheumatology (107 citations), Surgery (286 citations), Gastroenterology (32 citations) and Pulmonary and Respiratory Medicine (186 citations). Daniel Wong has collaborated with scholars based in Australia, United States and Italy. Frequent co-authors include Dominic V. Spagnolo, Michele Bisceglia, Dugald McCallum, Anita G. Bourke, Peter Robbins, M. Priyanthi Kumarasinghe, Fiona Maclean, Ana Cristina Vargas, Fiona Bonar and Richard Mendelson. Their work appears in journals such as Pathology, Histopathology, The American Journal of Surgical Pathology, ANZ Journal of Surgery and Clinical Radiology.

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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