Michele Donato

3.7k citations
48 papers · 1.7k indexed · h-index 20

Impact in

Papers in

Michele Donato

46 papers receiving 1.6k citations

Peers

Michele Donato
Comparison fields: 5 of 112
  • Hematology 537
  • Transplantation 61
  • Immunology 364
  • Aging 30
  • Genetics 119
Replace Lorena Martinez‐Gamboa with:
Lorena Martinez‐Gamboa Germany
Gabriele Zoppoli Italy
Jake Shortt Australia
Adriana Zingone United States
Darci J. Phillips United States
Valérie Bardet France
Andrew Strahs United States
Steven S. Pullen United States
Chiara Pastrello Canada
Cem Meydan United States
Michele Donato relative to Lorena Martinez‐Gamboa Germany Lorena Martinez‐Gamboa's profile →
Citations per field
00.5×10.2×
Lorena Martinez‐Gamboa · 1×
Citations per year

Countries citing papers authored by Michele Donato

Since Specialization
Citations

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

Fields of papers citing papers by Michele Donato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20243
4 20241
5 202310
6 202145
7 202132
8 202085
9 201875
10 201824
11 201830
12 20173
13 201620
14 20166
15 20063
16 200416
17 200416
18 200148
19 200139
20 19993

About Michele Donato

Michele Donato is a scholar working on Computational Theory and Mathematics, Immunology, Dermatology, Hematology and Molecular Biology, having authored 48 papers that have together received 1.7k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (17 papers), Gene expression and cancer classification (10 papers), Gene Regulatory Network Analysis (8 papers), Computational Drug Discovery Methods (8 papers), Pulmonary Hypertension Research and Treatments (4 papers), Immune cells in cancer (4 papers), Single-cell and spatial transcriptomics (4 papers) and Immune responses and vaccinations (3 papers). The work is most often cited by research in Hematology (537 citations), Transplantation (61 citations), Immunology (364 citations), Aging (30 citations) and Genetics (119 citations). Michele Donato has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Sorin Drăghici, Purvesh Khatri, Richard E. Champlin, Sergio Giralt, Călin Voichiţa, Paul J. Utz, Francesco Vallania, Rebecca Tagett, Sarah E. Chang and Peggie Cheung. Their work appears in journals such as Bioinformatics, Blood, Cancer, Biology of Blood and Marrow Transplantation and Science Translational 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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