José A. Martina
- Molecular Biology top 2%
- Epidemiology top 1%
- Cell Biology top 0.5%
- Physiology top 0.1%
- Physiology top 2%
- Co-authors
- Rosa PuertollanoYong ChenMarjan GučekHeba I. DiabJuan S. BonifacinoOwen A. BradyHugo J. F. MaccioniJeong‐A Lim
- Topics
- Cellular transport and secretion (16 papers)Glycosylation and Glycoproteins Research (10 papers)Autophagy in Disease and Therapy (10 papers)
- Cited by
- PhysiologyCell BiologyAging
- Partner nations
- United StatesArgentinaNetherlands
In The Last Decade
José A. Martina
52 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Molecular Biology 2.8k
- Epidemiology 2.2k
- Cell Biology 1.9k
- Physiology 1.1k
- Physiology 1.0k
Countries citing papers authored by José A. Martina
This map shows the geographic impact of José A. Martina'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 José A. Martina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites José A. Martina more than expected).
Fields of papers citing papers by José A. Martina
This network shows the impact of papers produced by José A. Martina. 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 José A. Martina. The network helps show where José A. Martina may publish in the future.
Co-authorship network of co-authors of José A. Martina
This figure shows the co-authorship network connecting the top 25 collaborators of José A. Martina. A scholar is included among the top collaborators of José A. Martina 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 José A. Martina. José A. Martina 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 | 19 | |
| 3 | 12 | |
| 4 | 31 | |
| 5 | 28 | |
| 6 | 59 | |
| 7 | 117 | |
| 8 | 65 | |
| 9 | 91 | |
| 10 | 14 | |
| 11 | MTORC1 functions as a transcriptional regulator of autophagy by preventing nuclear transport of TFEBbreakdown → | 1024 |
| 12 | Transcriptional Activation of Lysosomal Exocytosis Promotes Cellular Clearancebreakdown → | 570 |
| 13 | 15 | |
| 14 | 77 | |
| 15 | 30 | |
| 16 | 64 | |
| 17 | 102 | |
| 18 | 73 | |
| 19 | 8 | |
| 20 | 22 |
About José A. Martina
José A. Martina is a scholar working on Physiology, Cell Biology and Virology, having authored 53 papers that have together received 5.5k indexed citations. Recurring topics across this work include Cellular transport and secretion (16 papers), Glycosylation and Glycoproteins Research (10 papers) and Autophagy in Disease and Therapy (10 papers). The work is most often cited by research in Physiology (1.1k citations), Cell Biology (1.9k citations) and Aging (141 citations). José A. Martina has collaborated with scholars based in United States, Argentina and Netherlands. Frequent co-authors include Rosa Puertollano, Yong Chen, Marjan Guček, Heba I. Diab, Juan S. Bonifacino, Owen A. Brady, Hugo J. F. Maccioni, Jeong‐A Lim, José L. Daniotti and Nina Raben. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences 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.