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 10
- Protein Structure and Dynamics 9
- Microbial Metabolic Engineering and Bioproduction 7
- CRISPR and Genetic Engineering 6
- Congenital heart defects research 5
- Genetics 15
- Genetics and Neurodevelopmental Disorders 9
- Co-authors
- Diego L. Medina (2 shared papers)Francesco Vetrini (2 shared papers)Tuong Huynh (2 shared papers)Andrea Ballabio (2 shared papers)Carmine Settembre (2 shared papers)Pasqualina Colella (1 shared paper)Chiara Di Malta (1 shared paper)David C. Rubinsztein (1 shared paper)
- Journals
- Physical Review B (5 papers)Bioinformatics (3 papers)Scientific Reports (2 papers)Human Molecular Genetics (2 papers)Neurology (2 papers)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Serkan Erdin
61 papers receiving 5.8k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Physiology 761
- Aging 173
- Epidemiology 2.6k
- Cell Biology 949
- Molecular Biology 3.1k
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 | 2496 |
| 2 | A lysosome-to-nucleus signalling mechanism senses and regulates the lysosome via mTOR and TFEB Hit paper breakdown → | 2012 | 1495 |
| 3 | 2014 | 378 | |
| 4 | 2014 | 227 | |
| 5 | 2014 | 88 | |
| 6 | 2001 | 76 | |
| 7 | 2012 | 74 | |
| 8 | 2014 | 60 | |
| 9 | 2008 | 59 | |
| 10 | 2002 | 57 | |
| 11 | 2016 | 53 | |
| 12 | 2006 | 51 | |
| 13 | 2011 | 50 | |
| 14 | 2015 | 44 | |
| 15 | 2015 | 38 | |
| 16 | 2011 | 32 | |
| 17 | 2013 | 31 | |
| 18 | 2009 | 31 | |
| 19 | 2020 | 30 | |
| 20 | 2020 | 28 |
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 5.8k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (10 papers), Protein Structure and Dynamics (9 papers), Genetics and Neurodevelopmental Disorders (9 papers), Microbial Metabolic Engineering and Bioproduction (7 papers), CRISPR and Genetic Engineering (6 papers), Physics of Superconductivity and Magnetism (6 papers), Genetic Neurodegenerative Diseases (6 papers) and Congenital heart defects research (5 papers). The work is most often cited by research in Physiology (761 citations), Aging (173 citations), Epidemiology (2.6k citations), Cell Biology (949 citations) and Molecular Biology (3.1k citations). Serkan Erdin has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Diego L. Medina, Francesco Vetrini, Tuong Huynh, Andrea Ballabio, Carmine Settembre, Pasqualina Colella, Chiara Di Malta, David C. Rubinsztein, Vinicia Assunta Polito and Marco Sardiello. Their work appears in journals such as Physical Review B, Bioinformatics, Scientific Reports, Human Molecular Genetics and Neurology.
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.