Michael Feely

782 citations
33 papers · 525 · h-index 11

Impact in

  • Genetics top 10%
    • Virus-based gene therapy research
    • Genetic and Kidney Cyst Diseases
    • MicroRNA in disease regulation

Papers in

Michael Feely

29 papers receiving 510 citations

Peers

Michael Feely
Comparison fields: 5 of 78
  • Genetics 191
  • Cancer Research 62
  • Molecular Biology 281
  • Oncology 104
  • Epidemiology 85
Replace Niema Ibrahim with:
Niema Ibrahim Saudi Arabia
Yutaka Negishi Japan
Tatjana Milovanović United States
Aliki Nichogiannopoulou United States
Sara Ciullini Mannurita Italy
Joanne Sutherland Canada
Jianhua Xu China
Afonso R. M. Almeida Portugal
Paramjeet Singh India
Tracy Tucker Canada
Michael Feely relative to Niema Ibrahim Saudi Arabia Niema Ibrahim's profile →
Citations per field
00.5×1.6×
Niema Ibrahim · 1×
Citations per year

Countries citing papers authored by Michael Feely

Since Specialization
Citations

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

Fields of papers citing papers by Michael Feely

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006187
2 200588
3 201741
4 201928
5 198224
6 201620
7
Apoplexy into a prolactin secreting macroadenoma during early pregnancy with successful outcome. Case report.
198620
8 201816
9 202113
10 201912
11 202311
12 20207
13 20226
14 20206
15 20196
16 19775
17 20194
18 20224
19 20234
20 20184

About Michael Feely

Michael Feely is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology, Molecular Biology, Oncology and Surgery, having authored 33 papers that have together received 525 indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (4 papers), Pancreatic and Hepatic Oncology Research (4 papers), Medical Imaging and Pathology Studies (3 papers), Gastric Cancer Management and Outcomes (3 papers), Colorectal Cancer Treatments and Studies (3 papers), Neuroendocrine Tumor Research Advances (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers) and Gastrointestinal Tumor Research and Treatment (2 papers). The work is most often cited by research in Genetics (191 citations), Cancer Research (62 citations), Molecular Biology (281 citations), Oncology (104 citations) and Epidemiology (85 citations). Michael Feely has collaborated with scholars based in United States, South Korea and Italy. Frequent co-authors include David R. Mitchell, Joel L. Rosenbaum, Lotte B. Pedersen, R. Jude Samulski, C. G. Janson, Scott McPhee, Andrew Freese, Chuang Li, Paola Leone and David Shera. Their work appears in journals such as The American Journal of Surgical Pathology, Journal of Neurology Neurosurgery & Psychiatry, Journal of Clinical Oncology, Oncotarget and iScience.

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