Michael Cheng

781 citations
25 papers · 514 · h-index 12

Impact in

Papers in

Michael Cheng

19 papers receiving 508 citations

Peers

Michael Cheng
Comparison fields: 5 of 92
  • Health Informatics 12
  • Cellular and Molecular Neuroscience 107
  • Cancer Research 75
  • Pulmonary and Respiratory Medicine 145
  • Radiology, Nuclear Medicine and Imaging 86
Replace Karra A. Jones with:
Karra A. Jones United States
Shuangqing Chen China
Casmir Turnquist United Kingdom
Cynthia De la Garza‐Ramos United States
Janice A. Zawaski United States
Steve Lu United States
P. A. Wijeratne United Kingdom
Parth Shah United States
Kristóf Égervári Switzerland
Sofie Goethals Belgium
Michael Cheng relative to Karra A. Jones United States Karra A. Jones's profile →
Citations per field
00.5×2.9×
Karra A. Jones · 1×
Citations per year

Countries citing papers authored by Michael Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Michael Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020146
2 198784
3 202266
4 202058
5 200425
6 201924
7 202223
8 202315
9 202214
10 202314
11 201913
12 201713
13 20217
14 20126
15 20252
16 20251
17 20251
18 20031
19 20041
20 20250

About Michael Cheng

Michael Cheng is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Surgery, Radiology, Nuclear Medicine and Imaging and Epidemiology, having authored 25 papers that have together received 514 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (5 papers), Traumatic Brain Injury Research (4 papers), Bladder and Urothelial Cancer Treatments (3 papers), Cancer, Lipids, and Metabolism (2 papers), AI in cancer detection (2 papers), Epigenetics and DNA Methylation (2 papers), Prostate Cancer Diagnosis and Treatment (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Health Informatics (12 citations), Cellular and Molecular Neuroscience (107 citations), Cancer Research (75 citations), Pulmonary and Respiratory Medicine (145 citations) and Radiology, Nuclear Medicine and Imaging (86 citations). Michael Cheng has collaborated with scholars based in United States, China and Spain. Frequent co-authors include Liang Cheng, Kun Huang, Francesco Massari, Rodolfo Montironi, Matteo Santoni, Antonio López-Beltrán, Alessia Cimadamore, Zifan Wang, Xin Lü and Z. Jiang. Their work appears in journals such as Journal of Head Trauma Rehabilitation, iScience, Bioelectrochemistry, JCO Clinical Cancer Informatics and Nature Communications.

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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