Simon Sung

775 citations
27 papers · 597 · h-index 13

Impact in

  • Neurology top 10%
    • Neurological disorders and treatments
    • Parkinson's Disease Mechanisms and Treatments
    • Botulinum Toxin and Related Neurological Disorders

Papers in

Simon Sung

27 papers receiving 583 citations

Peers

Simon Sung
Comparison fields: 5 of 75
  • Developmental Neuroscience 32
  • Neurology 105
  • Cancer Research 87
  • Pathology and Forensic Medicine 75
  • Oral Surgery 26
Replace Daniele Armocida with:
Daniele Armocida Italy
Douglas A. Hardesty United States
Aldo Gerbino Italy
Yuto Watanabe Japan
Giorgio Lofrese Italy
Chun‐Hao Chen Taiwan
Chunxu Shan China
Qiuping Gui China
Mauro Palmieri Italy
J. Haubrich Germany
Simon Sung relative to Daniele Armocida Italy Daniele Armocida's profile →
Citations per field
00.5×10×20×30×44×
Daniele Armocida · 1×
Citations per year

Countries citing papers authored by Simon Sung

Since Specialization
Citations

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

Fields of papers citing papers by Simon Sung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011150
2 2018108
3 201261
4 201740
5 201930
6 201726
7 202026
8 201323
9 201821
10 201816
11 201413
12 201913
13 202012
14 202012
15 201911
16 20177
17 20205
18 20225
19 20204
20 20234

About Simon Sung

Simon Sung is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Neurology, Surgery and Epidemiology, having authored 27 papers that have together received 597 indexed citations. Recurring topics across this work include Lung Cancer Research Studies (3 papers), Salivary Gland Tumors Diagnosis and Treatment (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Bone Tumor Diagnosis and Treatments (2 papers), Lung Cancer Diagnosis and Treatment (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), Neuroendocrine Tumor Research Advances (2 papers) and Cancer and Skin Lesions (2 papers). The work is most often cited by research in Developmental Neuroscience (32 citations), Neurology (105 citations), Cancer Research (87 citations), Pathology and Forensic Medicine (75 citations) and Oral Surgery (26 citations). Simon Sung has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Andrew Evans, Kartik Viswanathan, Rema Rao, Momin T. Siddiqui, Theresa Scognamiglio, Grace C. H. Yang, Anjali Saqi, Hatem E. Sabaawy, Neil Campbell and Young‐Mi Yu. Their work appears in journals such as Diagnostic Cytopathology, Cancer Cytopathology, Journal of the Neurological Sciences, American Journal of Clinical Pathology and European Journal of Neuroscience.

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.

Explore authors with similar magnitude of impact