Michael Co

1.2k citations
56 papers · 738 indexed · h-index 15

Impact in

Papers in

Michael Co

53 papers receiving 730 citations

Peers

Michael Co
Comparison fields: 5 of 99
  • Health Informatics 99
  • Family Practice 49
  • General Dentistry 29
  • Cancer Research 181
  • Dermatology 95
Replace Alison Chetlen with:
Alison Chetlen United States
Seung‐Hun Chon Germany
Rebecca I. Hartman United States
Fred R. Dee United States
Wiebke Sondermann Germany
J Kunze Germany
Peng–Sheng Ting United States
Dominic Amara United States
Alexander L. Fogel United States
Nicole Thomas United States
Michael Co relative to Alison Chetlen United States Alison Chetlen's profile →
Citations per field
00.5×9.7×
Alison Chetlen · 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 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2023103
2 201874
3 202150
4 202050
5 202135
6 201733
7 202028
8 201722
9 202221
10 201920
11 201919
12 202318
13 202117
14 201917
15 201715
16 202314
17 201314
18 201214
19 201713
20 201711

About Michael Co

Michael Co is a scholar working on Cancer Research, Pathology and Forensic Medicine, Surgery, Oncology and Public Health, Environmental and Occupational Health, having authored 56 papers that have together received 738 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (29 papers), Breast Lesions and Carcinomas (21 papers), Breast Implant and Reconstruction (10 papers), Innovations in Medical Education (7 papers), Cancer and Skin Lesions (5 papers), Global Cancer Incidence and Screening (5 papers), Salivary Gland Tumors Diagnosis and Treatment (4 papers) and BRCA gene mutations in cancer (4 papers). The work is most often cited by research in Health Informatics (99 citations), Family Practice (49 citations), General Dentistry (29 citations), Cancer Research (181 citations) and Dermatology (95 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, Kui Kai Lau, Dhananjay Kulkarni, Gordon Tin Chun Wong, Elaine Lee and Vincent Chi‐Chung Cheng. 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.

Explore authors with similar magnitude of impact