Serkan Erdin
Impact in
- Physiology top 0.2%
- Calcium signaling and nucleotide metabolism
- Lysosomal Storage Disorders Research
- Aging top 1%
Papers in
-
- Bioinformatics and Genomic Networks 8
- Protein Structure and Dynamics 6
- CRISPR and Genetic Engineering 6
- Genetics 14
- Genetics and Neurodevelopmental Disorders 7
- Co-authors
- Tuong Huynh (2 shared papers)Francesco Vetrini (2 shared papers)Andrea Ballabio (2 shared papers)Diego L. Medina (2 shared papers)Carmine Settembre (2 shared papers)Pasqualina Colella (1 shared paper)Marco Sardiello (1 shared paper)Moisés Garcı́a-Arencibia (1 shared paper)
- Journals
- Physical Review B (5 papers)Bioinformatics (3 papers)PLoS ONE (2 papers)Proceedings of the National Academy of Sciences (2 papers)Human Molecular Genetics (2 papers)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Serkan Erdin
62 papers receiving 5.9k citations
Serkan Erdin's Hit Papers
Peers
Comparison fields: 5 of 139
- Physiology 728
- Aging 171
- Epidemiology 2.5k
- Cell Biology 923
- Geriatrics and Gerontology 145
Countries citing papers authored by Serkan Erdin
This map shows the geographic impact of Serkan Erdin'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 Serkan Erdin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Serkan Erdin more than expected).
Fields of papers citing papers by Serkan Erdin
This network shows the impact of papers produced by Serkan Erdin. 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 Serkan Erdin. The network helps show where Serkan Erdin may publish in the future.
Co-authors
The 25 scholars most cited alongside Serkan Erdin, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | TFEB Links Autophagy to Lysosomal Biogenesis Hit paper breakdown → | 2011 | 2550 |
| 2 | A lysosome‐to‐nucleus signalling mechanism senses and regulates the lysosome via mTOR and TFEB Hit paper breakdown → | 2012 | 1522 |
| 3 | 2014 | 378 | |
| 4 | 2014 | 230 | |
| 5 | 2014 | 89 | |
| 6 | 2001 | 76 | |
| 7 | 2012 | 74 | |
| 8 | 2014 | 61 | |
| 9 | 2008 | 59 | |
| 10 | 2002 | 57 | |
| 11 | 2016 | 54 | |
| 12 | 2006 | 52 | |
| 13 | 2011 | 50 | |
| 14 | 2015 | 44 | |
| 15 | 2015 | 38 | |
| 16 | 2013 | 33 | |
| 17 | 2020 | 32 | |
| 18 | 2011 | 32 | |
| 19 | 2009 | 31 | |
| 20 | 2020 | 29 |
About Serkan Erdin
Serkan Erdin is a scholar working on Molecular Biology, Genetics, Atomic and Molecular Physics, and Optics, Cellular and Molecular Neuroscience and Condensed Matter Physics, having authored 63 papers that have together received 6.0k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (8 papers), Genetics and Neurodevelopmental Disorders (7 papers), Genetic Neurodegenerative Diseases (6 papers), Protein Structure and Dynamics (6 papers), Physics of Superconductivity and Magnetism (6 papers), CRISPR and Genetic Engineering (6 papers), Neurofibromatosis and Schwannoma Cases (5 papers) and Magnetic properties of thin films (5 papers). The work is most often cited by research in Physiology (728 citations), Aging (171 citations), Epidemiology (2.5k citations), Cell Biology (923 citations) and Geriatrics and Gerontology (145 citations). Serkan Erdin has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Tuong Huynh, Francesco Vetrini, Andrea Ballabio, Diego L. Medina, Carmine Settembre, Pasqualina Colella, Marco Sardiello, Moisés Garcı́a-Arencibia, Vinicia Assunta Polito and David C. Rubinsztein. Their work appears in journals such as Physical Review B, Bioinformatics, PLoS ONE, Proceedings of the National Academy of Sciences and Human Molecular Genetics.
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.