Michael Rainone

492 citations
8 papers · 89 · h-index 4

Impact in

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

Papers in

    • HER2/EGFR in Cancer Research 3
    • Pancreatic and Hepatic Oncology Research 1
    • Chronic Lymphocytic Leukemia Research 3

Michael Rainone

8 papers receiving 88 citations

Peers

Michael Rainone
Comparison fields: 5 of 20
  • Oncology 66
  • Cancer Research 20
  • Hematology 11
  • Immunology 14
  • Genetics 12
Replace Ekaterina Postovalova with:
Ekaterina Postovalova United States
Tressa Hood United States
Alice Piapi United Kingdom
R. Scott Mead Australia
Fanny Fouyssac France
James Isaacs United States
Siok Ping Yeo Singapore
Siarhei Kandabarau Germany
Matteo Duca Italy
Shravanti Macherla United States
Michael Rainone relative to Ekaterina Postovalova United States Ekaterina Postovalova's profile →
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 202039
2 202232
3 20227
4 20235
5 20233
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, Transplantation and Hematology, having authored 8 papers that have together received 89 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (3 papers), HER2/EGFR in Cancer Research (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Neurological Complications and Syndromes (1 paper), Pancreatic and Hepatic Oncology Research (1 paper), Renal Transplantation Outcomes and Treatments (1 paper), Neuroinflammation and Neurodegeneration Mechanisms (1 paper) and Immune Cell Function and Interaction (1 paper). The work is most often cited by research in Oncology (66 citations), Cancer Research (20 citations), Hematology (11 citations), Immunology (14 citations) and Genetics (12 citations). Michael Rainone has collaborated with scholars based in United States. Frequent co-authors include Erin Salo‐Mullen, Zsofia K. Stadler, Eileen M. O’Reilly, Dat Ngo, Ibrahim Aldoss, Vinod Pullarkat, John H. Baird, Myo Htut, Lihua E. Budde and Tanya Siddiqi. Their work appears in journals such as Breast Cancer, Current Hematologic Malignancy Reports, The Oncologist, Journal of the Peripheral Nervous System and Journal of Clinical Oncology.

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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