Michael Feely

799 citations
33 papers · 566 · 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 541 citations

Peers

Michael Feely
Comparison fields: 5 of 80
  • Genetics 190
  • Cancer Research 57
  • Molecular Biology 278
  • Oncology 96
  • Cell Biology 42
Replace Niema Ibrahim with:
Niema Ibrahim Saudi Arabia
Tatjana Milovanović United States
Jean‐François Laes Belgium
Jessica K. Booker United States
Reet Rein Estonia
Maria Hinterberger Germany
Eiko Kitamura United States
Anne‐Marie Patenaude Canada
Paramjeet Singh India
G Pescia Switzerland
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Citations per field
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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 2006198
2 200596
3 201742
4 201930
5 198225
6 201623
7
Apoplexy into a prolactin secreting macroadenoma during early pregnancy with successful outcome. Case report.
198621
8 201819
9 202314
10 202113
11 201912
12 20198
13 19778
14 20207
15 20227
16 20206
17 20194
18 20224
19 20174
20 20204

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 566 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (4 papers), Genetic factors in colorectal cancer (4 papers), Gastric Cancer Management and Outcomes (3 papers), Neuroendocrine Tumor Research Advances (3 papers), Medical Imaging and Pathology Studies (3 papers), Renal and related cancers (2 papers), Colorectal and Anal Carcinomas (2 papers) and Lung Cancer Research Studies (2 papers). The work is most often cited by research in Genetics (190 citations), Cancer Research (57 citations), Molecular Biology (278 citations), Oncology (96 citations) and Cell Biology (42 citations). Michael Feely has collaborated with scholars based in United States, Italy and China. Frequent co-authors include David R. Mitchell, Lotte B. Pedersen, Joel L. Rosenbaum, Andrew Freese, R. Jude Samulski, David Shera, Paola Leone, Jeremy S. Francis, Chuang Li and Scott McPhee. Their work appears in journals such as Oncotarget, The American Journal of Surgical Pathology, Journal of Clinical Oncology, Journal of Neurology Neurosurgery & Psychiatry and The Journal of Gene Medicine.

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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