Daisy Saw

1.4k citations
37 papers · 1.0k indexed · h-index 18

Impact in

  • Oncology top 5%
    • Viral-associated cancers and disorders
    • Ear and Head Tumors
    • Vascular Tumors and Angiosarcomas
    • Head and Neck Cancer Studies

Papers in

Daisy Saw

37 papers receiving 967 citations

Peers

Daisy Saw
Comparison fields: 5 of 89
  • Oncology 479
  • Otorhinolaryngology 62
  • Pathology and Forensic Medicine 203
  • Cancer Research 126
  • Rheumatology 112
Replace Edward L. Lee with:
Edward L. Lee United States
Suresh C. Sharma India
Yuichi Goto Japan
Hai X. Bui United States
Xiaochen Shu China
Inga Wedemeyer Germany
Britta Kleist Germany
N. K. Shukla India
Herbert Stöger Austria
A M Ballesta Spain
Daisy Saw relative to Edward L. Lee United States Edward L. Lee's profile →
Citations per field
00.5×1.5×2.4×
Edward L. Lee · 1×
Citations per year

Countries citing papers authored by Daisy Saw

Since Specialization
Citations

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

Fields of papers citing papers by Daisy Saw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200955
2 20081
3 20077
4
Localized polyarteritis nodosa of the gallbladder.
20034
5 199620
6 199610
7 19958
8 199518
9 199341
10 19927
11 199212
12 19902
13 19885
14 198721
15 198623
16 198615
17 198525
18 198154
19 197817
20 197613

About Daisy Saw

Daisy Saw is a scholar working on Oncology, Otorhinolaryngology, Oral Surgery, Dermatology and Pulmonary and Respiratory Medicine, having authored 37 papers that have together received 1.0k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (6 papers), Sarcoma Diagnosis and Treatment (4 papers), Salivary Gland Tumors Diagnosis and Treatment (4 papers), Oral and Maxillofacial Pathology (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Vascular Tumors and Angiosarcomas (2 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers) and Ear and Head Tumors (2 papers). The work is most often cited by research in Oncology (479 citations), Otorhinolaryngology (62 citations), Pathology and Forensic Medicine (203 citations), Cancer Research (126 citations) and Rheumatology (112 citations). Daisy Saw has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include J. H. C. Ho, W.H. Lau, John K. Chan, D. P. Huang, John K. C. Chan, Y.F. Poon, M. Lui, C.S. Ng, Elaine Chew and John K. C. Chan. Their work appears in journals such as Human Pathology, International Journal of Cancer, The American Journal of Surgical Pathology, Pathology and 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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