Jonn Wu

62 papers receiving 1.1k citations

Peers

Jonn Wu
Comparison fields: 5 of 68
  • Otorhinolaryngology 228
  • Radiation 120
  • Pulmonary and Respiratory Medicine 396
  • Radiology, Nuclear Medicine and Imaging 149
  • Physiology 143
Replace Marie A. Emson with:
Marie A. Emson United Kingdom
J.M.A. de Jong Netherlands
Wen‐Ling Tsai Taiwan
Jaiprakash Agarwal India
Li‐Min Sun Taiwan
Rebecca M.W. Yeung China
Daniel Taussky Canada
William A. Stokes United States
Rufus Scrimger Canada
Jacqueline Kelly United States
Jonn Wu relative to Marie A. Emson United Kingdom Marie A. Emson's profile →
Citations per field
00.5×1.5×2.5×
Marie A. Emson · 1×
Citations per year

Countries citing papers authored by Jonn Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jonn Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015172
2 202191
3 200684
4 200373
5 201954
6 201450
7 201148
8 200848
9 201427
10 201927
11 201424
12 202124
13 202220
14 202419
15 201819
16 201819
17 201219
18 201618
19 201618
20 202017

About Jonn Wu

Jonn Wu is a scholar working on Otorhinolaryngology, Pulmonary and Respiratory Medicine, Physiology, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 63 papers that have together received 1.1k indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (20 papers), Salivary Gland Disorders and Functions (8 papers), Prostate Cancer Diagnosis and Treatment (5 papers), Advanced Radiotherapy Techniques (4 papers), Thyroid Cancer Diagnosis and Treatment (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Oral health in cancer treatment (4 papers) and Medical Imaging Techniques and Applications (3 papers). The work is most often cited by research in Otorhinolaryngology (228 citations), Radiation (120 citations), Pulmonary and Respiratory Medicine (396 citations), Radiology, Nuclear Medicine and Imaging (149 citations) and Physiology (143 citations). Jonn Wu has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Eric Berthelet, Cheryl Ho, Mitchell Liu, Bonnie Leung, Allan Hovan, Sarah Hamilton, Robert Olson, Mira Keyes, Tom Pickles and Eric Tran. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Radiotherapy and Oncology, Head & Neck, Supportive Care in Cancer and Physics in Medicine and Biology.

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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