Diego L. Medina
- Epidemiology top 0.1%
- Molecular Biology top 1%
- Physiology top 0.5%
- Cell Biology top 0.2%
- Physiology top 0.02%
- Co-authors
- Andrea BallabioCarmine SettembreAlessandro FraldiMarco SardielloChiara Di MaltaSerkan ErdinFrancesco VetriniTuong Huynh
- Topics
- Autophagy in Disease and Therapy (27 papers)Calcium signaling and nucleotide metabolism (26 papers)Lysosomal Storage Disorders Research (21 papers)
- Cited by
- PhysiologyCell BiologyEpidemiology
- Partner nations
- ItalyUnited StatesSpain
In The Last Decade
Diego L. Medina
75 papers receiving 13.0k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Epidemiology 6.5k
- Molecular Biology 5.5k
- Physiology 3.2k
- Cell Biology 3.1k
- Physiology 3.0k
Countries citing papers authored by Diego L. Medina
This map shows the geographic impact of Diego L. Medina'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 L. Medina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diego L. Medina more than expected).
Fields of papers citing papers by Diego L. Medina
This network shows the impact of papers produced by Diego L. Medina. 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 L. Medina. The network helps show where Diego L. Medina may publish in the future.
Co-authorship network of co-authors of Diego L. Medina
This figure shows the co-authorship network connecting the top 25 collaborators of Diego L. Medina. A scholar is included among the top collaborators of Diego L. Medina based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Diego L. Medina. Diego L. Medina is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 17 | |
| 6 | 6 | |
| 7 | 15 | |
| 8 | 15 | |
| 9 | 139 | |
| 10 | 30 | |
| 11 | 54 | |
| 12 | 107 | |
| 13 | Lysosomal calcium signalling regulates autophagy through calcineurin and TFEBbreakdown → | 1060 |
| 14 | 6 | |
| 15 | 74 | |
| 16 | Signals from the lysosome: a control centre for cellular clearance and energy metabolismbreakdown → | 1269 |
| 17 | TFEB Links Autophagy to Lysosomal Biogenesisbreakdown → | 2496 |
| 18 | A Gene Network Regulating Lysosomal Biogenesis and Functionbreakdown → | 1885 |
| 19 | High throughput multiplexing phosphor retinoblastoma tumor suppressor protein (Rb) and cell cycle analysis using acuman technology. | 1 |
| 20 | 14 |
About Diego L. Medina
Diego L. Medina is a scholar working on Physiology, Developmental Neuroscience and Epidemiology, having authored 78 papers that have together received 13.1k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (27 papers), Calcium signaling and nucleotide metabolism (26 papers) and Lysosomal Storage Disorders Research (21 papers). The work is most often cited by research in Physiology (3.0k citations), Cell Biology (3.1k citations) and Epidemiology (6.5k citations). Diego L. Medina has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Andrea Ballabio, Carmine Settembre, Alessandro Fraldi, Marco Sardiello, Chiara Di Malta, Serkan Erdin, Francesco Vetrini, Tuong Huynh, David C. Rubinsztein and Roman Polishchuk. Their work appears in journals such as Nature, Science and Journal of Biological Chemistry.
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.