Michael Rainone

466 citations
8 papers · 83 · h-index 4

Impact in

    • CAR-T cell therapy research
    • Pancreatic and Hepatic Oncology Research
    • Cancer Genomics and Diagnostics

Papers in

    • HER2/EGFR in Cancer Research 3
    • CAR-T cell therapy research 2
    • Chronic Lymphocytic Leukemia Research 4

Michael Rainone

8 papers receiving 82 citations

Peers

Michael Rainone
Comparison fields: 5 of 27
  • Oncology 66
  • Cancer Research 29
  • Hematology 9
  • Transplantation 2
  • Immunology 15
Replace Ekaterina Postovalova with:
Ekaterina Postovalova United States
R. Scott Mead Australia
Siarhei Kandabarau Germany
Erin E. Tapper United States
Alice Piapi United Kingdom
Enyu Dai United States
Seishi Ogawa Japan
Jiuwei Cui China
Gursharan K. Claire United States
François‐Xavier Gros France
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Citations per field
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Ekaterina Postovalova · 1×
Citations per year

Countries citing papers authored by Michael Rainone

Since Specialization
Citations

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

Fields of papers citing papers by Michael Rainone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 202038
2 202231
3 20226
4 20233
5 20232
6
Central and peripheral nervous system involvement as a manifestation of graft versus host disease after liver transplantation: case report
20131
7 20221
8 20221

About Michael Rainone

Michael Rainone is a scholar working on Oncology, Genetics, Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Cancer Research, having authored 8 papers that have together received 83 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (4 papers), HER2/EGFR in Cancer Research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Cancer Genomics and Diagnostics (2 papers), CAR-T cell therapy research (2 papers), Lymphoma Diagnosis and Treatment (1 paper), Neuroinflammation and Neurodegeneration Mechanisms (1 paper) and Genetic factors in colorectal cancer (1 paper). The work is most often cited by research in Oncology (66 citations), Cancer Research (29 citations), Hematology (9 citations), Transplantation (2 citations) and Immunology (15 citations). Michael Rainone has collaborated with scholars based in United States. Frequent co-authors include Erin Salo‐Mullen, Eileen M. O’Reilly, Zsofia K. Stadler, Vinod Pullarkat, Ibrahim Aldoss, Lihua E. Budde, John H. Baird, Myo Htut, Dat Ngo and Saro Kasparian. Their work appears in journals such as Journal of Clinical Oncology, Molecular Diagnosis & Therapy, Breast Cancer, Journal of the Peripheral Nervous System and Blood Advances.

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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