Michael Feely

813 citations
38 papers · 609 · h-index 12

Impact in

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

Papers in

Michael Feely

31 papers receiving 582 citations

Peers

Michael Feely
Comparison fields: 5 of 81
  • Genetics 190
  • Cancer Research 60
  • Molecular Biology 283
  • Oncology 101
  • Gastroenterology 19
Replace Gaia Andreoletti with:
Gaia Andreoletti United States
Mickie Cheng United States
Kenneth H. Gouin United States
Tatjana Milovanović United States
Lewis Kaufman United States
Maria Hinterberger Germany
Justin Engelbert United Kingdom
Jon P. Williams United States
Jun Miyauchi Japan
Raymon Vijzelaar Netherlands
Michael Feely relative to Gaia Andreoletti United States Gaia Andreoletti's profile →
Citations per field
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Gaia Andreoletti · 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 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006197
2 200598
3 201743
4 201933
5 198225
6 201624
7
Apoplexy into a prolactin secreting macroadenoma during early pregnancy with successful outcome. Case report.
198621
8 201819
9 202117
10 202116
11 202316
12 201913
13 20198
14 20228
15 19778
16 20207
17 20207
18 19856
19 20225
20 20235

About Michael Feely

Michael Feely is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Gastroenterology, Epidemiology and Surgery, having authored 38 papers that have together received 609 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (5 papers), Gastric Cancer Management and Outcomes (4 papers), Gastrointestinal Tumor Research and Treatment (3 papers), Medical Imaging and Pathology Studies (3 papers), Neuroendocrine Tumor Research Advances (3 papers), Gastrointestinal disorders and treatments (2 papers), Lung Cancer Research Studies (2 papers) and Genetic factors in colorectal cancer (2 papers). The work is most often cited by research in Genetics (190 citations), Cancer Research (60 citations), Molecular Biology (283 citations), Oncology (101 citations) and Gastroenterology (19 citations). Michael Feely has collaborated with scholars based in United States, Italy and China. Frequent co-authors include Joel L. Rosenbaum, Lotte Bang Pedersen, David R. Mitchell, Jeremy S. Francis, David M. Shera, Scott McPhee, C. G. Janson, Paola E. Leon, Chuang Li and Richard Jude Samulski. Their work appears in journals such as Journal of Neurology Neurosurgery & Psychiatry, JCI Insight, Modern Pathology, Oncotarget and The American Journal of Surgical Pathology.

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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