Michael P. Macoritto

842 citations
18 papers · 700 · h-index 14

Impact in

Papers in

Michael P. Macoritto

17 papers receiving 669 citations

Peers

Michael P. Macoritto
Comparison fields: 5 of 87
  • Orthopedics and Sports Medicine 105
  • Genetics 68
  • Pathology and Forensic Medicine 111
  • Immunology 125
  • Oncology 125
Replace Linjian Mo with:
Linjian Mo China
Janja Zupan Slovenia
Nobuo Koike Japan
Michele V. Clarke Australia
Romina H. Aspera-Werz Germany
Makoto Watanuki Japan
Enikő Balogh Hungary
You Jun Shen Canada
Seiko Kyakumoto Japan
Cleo Selina Bonnet United Kingdom
Michael P. Macoritto relative to Linjian Mo China Linjian Mo's profile →
Citations per field
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Citations per year

Countries citing papers authored by Michael P. Macoritto

Since Specialization
Citations

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

Fields of papers citing papers by Michael P. Macoritto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2011147
2 200898
3 200367
4 200264
5 200743
6 200442
7 201241
8 202038
9 200434
10 201328
11 201028
12 201926
13 202220
14 200115
15 20235
16 20122
17 20242
18 20250

About Michael P. Macoritto

Michael P. Macoritto is a scholar working on Genetics, Orthopedics and Sports Medicine, Oncology, Pathology and Forensic Medicine and Molecular Biology, having authored 18 papers that have together received 700 indexed citations. Recurring topics across this work include Inflammatory Bowel Disease (5 papers), Cytokine Signaling Pathways and Interactions (4 papers), Estrogen and related hormone effects (3 papers), Vitamin D Research Studies (3 papers), Bone Metabolism and Diseases (3 papers), Bone health and osteoporosis research (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper) and Vitamin C and Antioxidants Research (1 paper). The work is most often cited by research in Orthopedics and Sports Medicine (105 citations), Genetics (68 citations), Pathology and Forensic Medicine (111 citations), Immunology (125 citations) and Oncology (125 citations). Michael P. Macoritto has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Richard B. Kremer, Gustavo Duque, Dao Chao Huang, Xian Fang Yang, Daniel Rivas, Louis‐Georges Ste‐Marie, Natalie Dion, L.-G. Ste-Marie, Marilyn M. Miller and Jiarong Li. Their work appears in journals such as Inflammatory Bowel Diseases, Journal of Bone and Mineral Research, Biochemical and Biophysical Research Communications, Stem Cells and Biogerontology.

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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