Michael Co

1.3k citations
58 papers · 802 · h-index 17

Impact in

Papers in

    • Breast Cancer Treatment Studies 21
    • Lymphatic System and Diseases 3
    • Global Cancer Incidence and Screening 3

Michael Co

56 papers receiving 789 citations

Peers

Michael Co
Comparison fields: 5 of 95
  • Health Informatics 92
  • General Dentistry 25
  • Family Practice 25
  • Cancer Research 132
  • Pathology and Forensic Medicine 152
Replace Fred R. Dee with:
Fred R. Dee United States
Oliver Y. Tang United States
Rui Almeida Portugal
Peng–Sheng Ting United States
Rebecca I. Hartman United States
Eric A. Berns United States
W. Stephen Black‐Schaffer United States
Florian Ebner Germany
J Kunze Germany
Michael Co relative to Fred R. Dee United States Fred R. Dee's profile →
Citations per field
00.5×10×15×18.4×
Fred R. Dee · 1×
Citations per year

Countries citing papers authored by Michael Co

Since Specialization
Citations

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

Fields of papers citing papers by Michael Co

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2023115
2 201879
3 202156
4 202052
5 202138
6 201733
7 202030
8 202225
9 201722
10 201921
11 202119
12 201919
13 202318
14 201318
15 201217
16 201917
17 202317
18 201716
19 201714
20 201711

About Michael Co

Michael Co is a scholar working on Cancer Research, Oncology, Surgery, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 58 papers that have together received 802 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (21 papers), Breast Lesions and Carcinomas (11 papers), Breast Implant and Reconstruction (6 papers), BRCA gene mutations in cancer (3 papers), Lymphatic System and Diseases (3 papers), Global Cancer Incidence and Screening (3 papers), Surgical Simulation and Training (2 papers) and Air Quality and Health Impacts (2 papers). The work is most often cited by research in Health Informatics (92 citations), General Dentistry (25 citations), Family Practice (25 citations), Cancer Research (132 citations) and Pathology and Forensic Medicine (152 citations). Michael Co has collaborated with scholars based in Hong Kong, China and United Kingdom. Frequent co-authors include Ava Kwong, Kent‐Man Chu, Billy Cheung, Tony W.H. Shek, Bhy Chung, Elaine Lee, Kui Kai Lau, Dhananjay Kulkarni, Gordon Tin Chun Wong and Sally Cheuk Ying Wong. Their work appears in journals such as Clinical Breast Cancer, Clinical Oncology, World Journal of Surgery, Heliyon and Surgery Today.

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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