L. Grassi
- Animal Science and Zoology top 5%
- Animal Virus Infections Studies 11
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- FinTech, Crowdfunding, Digital Finance 7
- Parasitology top 10%
- Vector-borne infectious diseases 6
- Infectious Diseases top 10%
- Viral gastroenteritis research and epidemiology 6
- Strategy and Management top 10%
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- Virus-based gene therapy research 8
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- Blockchain Technology Applications and Security 5
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- X-ray Spectroscopy and Fluorescence Analysis 4
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- Plant Virus Research Studies 3
- Co-authors
- Michele DrigoGiovanni FranzoMarco GiorginoStefano RonchiFederico CaniatoMaria Luisa MenandroAntonella MorettoDaniela Pasotto
In The Last Decade
L. Grassi
44 papers receiving 589 citations
Peers
Comparison fields: 5 of 88
- Animal Science and Zoology 173
- Management Information Systems 148
- Parasitology 57
- Infectious Diseases 157
- Strategy and Management 89
Countries citing papers authored by L. Grassi
This map shows the geographic impact of L. Grassi'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 L. Grassi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L. Grassi more than expected).
Fields of papers citing papers by L. Grassi
This network shows the impact of papers produced by L. Grassi. 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 L. Grassi. The network helps show where L. Grassi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside L. Grassi, 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 | 2024 | 1 | |
| 2 | 2024 | 4 | |
| 3 | 2023 | 6 | |
| 4 | 2023 | 9 | |
| 5 | 2022 | 1 | |
| 6 | 2022 | 2 | |
| 7 | 2022 | 11 | |
| 8 | 2021 | 12 | |
| 9 | 2021 | 19 | |
| 10 | 2021 | 13 | |
| 11 | 2021 | 3 | |
| 12 | 2020 | 25 | |
| 13 | 2020 | 3 | |
| 14 | 2020 | 25 | |
| 15 | 2020 | 49 | |
| 16 | Stochastic Frontier Analysis of Efficiency of U.S. Public P&L Insurance companies | 2020 | 0 |
| 17 | 2019 | 49 | |
| 18 | 2014 | 1 | |
| 19 | 2012 | 2 | |
| 20 | [Idiopathic juvenile osteoporosis]. | 1987 | 1 |
About L. Grassi
L. Grassi is a scholar working on Animal Science and Zoology, Parasitology, Management Information Systems, Radiation and Nuclear and High Energy Physics, having authored 51 papers that have together received 606 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (11 papers), Virus-based gene therapy research (8 papers), FinTech, Crowdfunding, Digital Finance (7 papers), Viral gastroenteritis research and epidemiology (6 papers), Vector-borne infectious diseases (6 papers), Blockchain Technology Applications and Security (5 papers), X-ray Spectroscopy and Fluorescence Analysis (4 papers) and Plant Virus Research Studies (3 papers). The work is most often cited by research in Animal Science and Zoology (173 citations), Management Information Systems (148 citations), Parasitology (57 citations), Infectious Diseases (157 citations) and Strategy and Management (89 citations). L. Grassi has collaborated with scholars based in Italy, Spain and Croatia. Frequent co-authors include Michele Drigo, Giovanni Franzo, Marco Giorgino, Stefano Ronchi, Federico Caniato, Maria Luisa Menandro, Antonella Moretto, Daniela Pasotto, Filippo Renga and Claudia Maria Tucciarone. Their work appears in journals such as Pathogens, Animals, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Financial Innovation and Eurasian Economic Review.
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.