Su–Chun Cheng

2.5k citations
62 papers · 1.4k · h-index 17

Impact in

  • Neurology top 5%
    • Neuroblastoma Research and Treatments
    • Traumatic Brain Injury and Neurovascular Disturbances
    • Cancer Genomics and Diagnostics

Papers in

Su–Chun Cheng

59 papers receiving 1.4k citations

Peers

Su–Chun Cheng
Comparison fields: 5 of 87
  • Neurology 237
  • Cancer Research 190
  • Oncology 335
  • Pulmonary and Respiratory Medicine 287
  • Epidemiology 251
Replace Joseph G. Pressey with:
Joseph G. Pressey United States
József Zsíros Netherlands
Carl Lenarsky United States
Francesco Pierconti Italy
Yau‐Lin Tseng Taiwan
Sheila Aparecida Coelho Siqueira Brazil
Manfred Mitterer Italy
Scott C. Borinstein United States
Pooja Hingorani United States
Jocelyn Migliacci United States
Su–Chun Cheng relative to Joseph G. Pressey United States Joseph G. Pressey's profile →
Citations per field
00.5×2.6×
Joseph G. Pressey · 1×
Citations per year

Countries citing papers authored by Su–Chun Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Su–Chun Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Su–Chun Cheng. 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 Su–Chun Cheng. The network helps show where Su–Chun Cheng may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015268
2 2007177
3 2009143
4 201690
5 201389
6 202064
7 199354
8 200852
9 201240
10 201439
11 200932
12 201131
13 201522
14 202019
15 201218
16 201718
17 201016
18 201815
19 201214
20 202114

About Su–Chun Cheng

Su–Chun Cheng is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Pathology and Forensic Medicine, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 62 papers that have together received 1.4k indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (7 papers), Ovarian cancer diagnosis and treatment (6 papers), Medical Imaging Techniques and Applications (6 papers), Advanced Breast Cancer Therapies (6 papers), Prostate Cancer Treatment and Research (5 papers), Cancer Mechanisms and Therapy (4 papers), Vitamin D Research Studies (4 papers) and Cancer Immunotherapy and Biomarkers (4 papers). The work is most often cited by research in Neurology (237 citations), Cancer Research (190 citations), Oncology (335 citations), Pulmonary and Respiratory Medicine (287 citations) and Epidemiology (251 citations). Su–Chun Cheng has collaborated with scholars based in United States, Finland and Netherlands. Frequent co-authors include Max Wintermark, Sabina Signoretti, Jason Hom, Monica Marabelli, Giovanni Parmigiani, Michael B. Atkins, Toni K. Choueiri, Joerg Bredno, David F. McDermott and Rupal S. Bhatt. Their work appears in journals such as Journal of Clinical Oncology, Gynecologic Oncology, American Journal of Neuroradiology, Stroke and Gastroenterology.

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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