Diego Morone
Impact in
- Cell Biology top 5%
- Endoplasmic Reticulum Stress and Disease
- Cellular transport and secretion
- Physiology top 5%
- Lysosomal Storage Disorders Research
- Calcium signaling and nucleotide metabolism
Papers in
-
- Single-cell and spatial transcriptomics 2
-
- Immunotherapy and Immune Responses 2
- Co-authors
- Maurizio Molinari (5 shared papers)Andrea Raimondi (4 shared papers)Marisa Loi (2 shared papers)Rocco D’Antuono (3 shared papers)Timothy J. Bergmann (2 shared papers)Tatiana Soldà (2 shared papers)Carmela Galli (2 shared papers)Alberto Danieli (1 shared paper)
- Journals
- Nature Communications (2 papers)Frontiers in Immunology (2 papers)The Journal of Immunology (2 papers)Journal of Visualized Experiments (2 papers)Traffic (1 paper)
- Partner nations
- SwitzerlandItalyUnited States
In The Last Decade
Diego Morone
23 papers receiving 716 citations
Peers
Comparison fields: 5 of 100
- Cell Biology 210
- Physiology 50
- Biological Psychiatry 23
- Epidemiology 213
- Immunology 105
Countries citing papers authored by Diego Morone
This map shows the geographic impact of Diego Morone'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 Diego Morone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diego Morone more than expected).
Fields of papers citing papers by Diego Morone
This network shows the impact of papers produced by Diego Morone. 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 Diego Morone. The network helps show where Diego Morone may publish in the future.
Co-authors
The 25 scholars most cited alongside Diego Morone, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 164 | |
| 2 | 2019 | 113 | |
| 3 | 2013 | 91 | |
| 4 | 2017 | 81 | |
| 5 | 2016 | 49 | |
| 6 | 2015 | 34 | |
| 7 | 2023 | 31 | |
| 8 | 2016 | 28 | |
| 9 | 2020 | 23 | |
| 10 | 2016 | 22 | |
| 11 | 2016 | 14 | |
| 12 | 2019 | 14 | |
| 13 | 2020 | 12 | |
| 14 | 2022 | 10 | |
| 15 | 2018 | 8 | |
| 16 | 2020 | 7 | |
| 17 | 2021 | 4 | |
| 18 | 2024 | 4 | |
| 19 | 2023 | 3 | |
| 20 | 2018 | 3 |
About Diego Morone
Diego Morone is a scholar working on Molecular Biology, Immunology, Epidemiology, Biophysics and Cell Biology, having authored 23 papers that have together received 720 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (5 papers), Cell Image Analysis Techniques (4 papers), Photoacoustic and Ultrasonic Imaging (3 papers), Cellular transport and secretion (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Single-cell and spatial transcriptomics (2 papers), Image Processing Techniques and Applications (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Cell Biology (210 citations), Physiology (50 citations), Biological Psychiatry (23 citations), Epidemiology (213 citations) and Immunology (105 citations). Diego Morone has collaborated with scholars based in Switzerland, Italy and United States. Frequent co-authors include Maurizio Molinari, Andrea Raimondi, Marisa Loi, Rocco D’Antuono, Timothy J. Bergmann, Tatiana Soldà, Carmela Galli, Alberto Danieli, Elisa Fasana and Paolo Paganetti. Their work appears in journals such as Nature Communications, Frontiers in Immunology, The Journal of Immunology, Journal of Visualized Experiments and Traffic.
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.