Giuseppe Lippi
Impact in
- Internal Medicine top 0.05%
- Venous Thromboembolism Diagnosis and Management
- Hematology top 0.05%
- Platelet Disorders and Treatments
Papers in
-
- Venous Thromboembolism Diagnosis and Management 167
- Hematology 282
- Platelet Disorders and Treatments 112
- Blood Coagulation and Thrombosis Mechanisms 102
- Co-authors
- Mario PlebaniBrandon Michael HenryEmmanuel J. FavaloroMassimo FranchiniMartina MontagnanaFabián Sanchis‐GomarGian Luca SalvagnoCamilla Mattiuzzi
- Journals
- Clinical Chemistry and Laboratory Medicine (CCLM) (197 papers)Seminars in Thrombosis and Hemostasis (170 papers)Clinica Chimica Acta (52 papers)Clinical Biochemistry (46 papers)Diagnosis (44 papers)
- Partner nations
- ItalyUnited StatesAustralia
In The Last Decade
Giuseppe Lippi
1.6k papers receiving 51.7k citations
Hit Papers
Peers
Comparison fields: 5 of 220
- Internal Medicine 3.8k
- Hematology 6.6k
- Infectious Diseases 9.7k
- Statistics, Probability and Uncertainty 3.4k
- Physiology 9.7k
Countries citing papers authored by Giuseppe Lippi
This map shows the geographic impact of Giuseppe Lippi'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 Giuseppe Lippi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giuseppe Lippi more than expected).
Fields of papers citing papers by Giuseppe Lippi
This network shows the impact of papers produced by Giuseppe Lippi. 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 Giuseppe Lippi. The network helps show where Giuseppe Lippi may publish in the future.
Co-authors
The 25 scholars most cited alongside Giuseppe Lippi, 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 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 2 | |
| 7 | 2022 | 3 | |
| 8 | 2022 | 10 | |
| 9 | 2022 | 15 | |
| 10 | 2021 | 36 | |
| 11 | Von Willebrand Factor and ADAMTS13 in COVID-19 and Beyond: A Question of Balance | 2021 | 2 |
| 12 | 2020 | 33 | |
| 13 | 2020 | 50 | |
| 14 | 2019 | 4 | |
| 15 | 2017 | 15 | |
| 16 | 2017 | 1 | |
| 17 | Multicenter comparison of seven 25OH vitamin D automated immunoassays | 2015 | 1 |
| 18 | 2013 | 4 | |
| 19 | 2013 | 2 | |
| 20 | 2006 | 51 |
About Giuseppe Lippi
Giuseppe Lippi is a scholar working on Internal Medicine, Hematology, Statistics, Probability and Uncertainty, Physiology and Infectious Diseases, having authored 1.7k papers that have together received 53.4k indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (332 papers), Venous Thromboembolism Diagnosis and Management (167 papers), COVID-19 Clinical Research Studies (148 papers), Platelet Disorders and Treatments (112 papers), Meta-analysis and systematic reviews (108 papers), SARS-CoV-2 and COVID-19 Research (107 papers), Blood Coagulation and Thrombosis Mechanisms (102 papers) and Acute Myocardial Infarction Research (88 papers). The work is most often cited by research in Internal Medicine (3.8k citations), Hematology (6.6k citations), Infectious Diseases (9.7k citations), Statistics, Probability and Uncertainty (3.4k citations) and Physiology (9.7k citations). Giuseppe Lippi has collaborated with scholars based in Italy, United States and Australia. Frequent co-authors include Mario Plebani, Brandon Michael Henry, Emmanuel J. Favaloro, Massimo Franchini, Martina Montagnana, Fabián Sanchis‐Gomar, Gian Luca Salvagno, Camilla Mattiuzzi, Gian Cesare Guidi and Gianfranco Cervellin. Their work appears in journals such as Clinical Chemistry and Laboratory Medicine (CCLM), Seminars in Thrombosis and Hemostasis, Clinica Chimica Acta, Clinical Biochemistry and Diagnosis.
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.