Annachiara Mitrugno
- Internal Medicine top 5%
- Venous Thromboembolism Diagnosis and Management 4
- Hematology top 5%
- Platelet Disorders and Treatments 12
- Blood Coagulation and Thrombosis Mechanisms 4
- Blood groups and transfusion 2
- Oncology top 10%
- Inflammatory Biomarkers in Disease Prognosis 8
-
- Antiplatelet Therapy and Cardiovascular Diseases 4
-
- Cell Adhesion Molecules Research 2
-
- Myeloproliferative Neoplasms: Diagnosis and Treatment 1
- Co-authors
- Owen J. T. McCartyGarth W. TormoenJoanna L. SylmanPeter KühnSteven W. KerriganNiamh MoranDavid WilliamsAnh T. P. Ngo
- Cited by
- Internal MedicineHematologyOncology
- Journals
- American Journal of Physiology-Cell Physiology (5 papers)Platelets (4 papers)Blood (1 paper)
- Partner nations
- United StatesFranceIreland
In The Last Decade
Annachiara Mitrugno
18 papers receiving 682 citations
Peers
Comparison fields: 5 of 82
- Internal Medicine 112
- Hematology 191
- Oncology 328
- Cancer Research 111
- Immunology 145
Countries citing papers authored by Annachiara Mitrugno
This map shows the geographic impact of Annachiara Mitrugno'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 Annachiara Mitrugno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Annachiara Mitrugno more than expected).
Fields of papers citing papers by Annachiara Mitrugno
This network shows the impact of papers produced by Annachiara Mitrugno. 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 Annachiara Mitrugno. The network helps show where Annachiara Mitrugno may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Annachiara Mitrugno, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 11 | |
| 2 | 2019 | 23 | |
| 3 | 2018 | 33 | |
| 4 | 2018 | 4 | |
| 5 | 2018 | 72 | |
| 6 | 2018 | 29 | |
| 7 | 2018 | 47 | |
| 8 | 2018 | 14 | |
| 9 | 2017 | 94 | |
| 10 | 2017 | 38 | |
| 11 | 2017 | 1 | |
| 12 | 2017 | 16 | |
| 13 | 2017 | 13 | |
| 14 | 2017 | 16 | |
| 15 | 2016 | 72 | |
| 16 | 2015 | 69 | |
| 17 | 2015 | 54 | |
| 18 | 2013 | 82 |
About Annachiara Mitrugno
Annachiara Mitrugno is a scholar working on Hematology, Internal Medicine, Immunology and Allergy, Oncology and Cardiology and Cardiovascular Medicine, having authored 18 papers that have together received 688 indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (12 papers), Inflammatory Biomarkers in Disease Prognosis (8 papers), Antiplatelet Therapy and Cardiovascular Diseases (4 papers), Blood Coagulation and Thrombosis Mechanisms (4 papers), Venous Thromboembolism Diagnosis and Management (4 papers), Blood groups and transfusion (2 papers), Cell Adhesion Molecules Research (2 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (1 paper). The work is most often cited by research in Internal Medicine (112 citations), Hematology (191 citations), Oncology (328 citations), Cancer Research (111 citations) and Immunology (145 citations). Annachiara Mitrugno has collaborated with scholars based in United States, France and Ireland. Frequent co-authors include Owen J. T. McCarty, Garth W. Tormoen, Joanna L. Sylman, Peter Kühn, Steven W. Kerrigan, Niamh Moran, David Williams, Anh T. P. Ngo, Todd H. Wagner and Craig D. Williams. Their work appears in journals such as American Journal of Physiology-Cell Physiology, Platelets, Blood, Scientific Reports and Blood Reviews.
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.