Maria Molas
Impact in
- Genetics top 5%
- Virus-based gene therapy research
- Physiology top 10%
- Lysosomal Storage Disorders Research
Papers in
-
- RNA Interference and Gene Delivery 7
- Advanced biosensing and bioanalysis techniques 4
- DNA and Nucleic Acid Chemistry 2
- Genetics 8
- Virus-based gene therapy research 5
- Diabetes and associated disorders 2
- Co-authors
- José C. Perales (7 shared papers)Richard W. Hanson (3 shared papers)Thomas W. Ferkol (2 shared papers)Fátima Bosch (10 shared papers)Jesús Ruberte (7 shared papers)Ramón Bartrons (4 shared papers)Carles Roca (5 shared papers)Virginia Haurigot (6 shared papers)
- Journals
- Journal of Biological Chemistry (3 papers)Diabetologia (2 papers)Diabetes (2 papers)Current Gene Therapy (1 paper)JCI Insight (1 paper)
- Partner nations
- SpainUnited StatesFrance
In The Last Decade
Maria Molas
20 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 83
- Genetics 364
- Physiology 267
- Molecular Biology 600
- Pharmacology 114
- Genetics 58
Countries citing papers authored by Maria Molas
This map shows the geographic impact of Maria Molas'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 Maria Molas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Molas more than expected).
Fields of papers citing papers by Maria Molas
This network shows the impact of papers produced by Maria Molas. 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 Maria Molas. The network helps show where Maria Molas may publish in the future.
Co-authors
The 25 scholars most cited alongside Maria Molas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 178 | |
| 2 | 1994 | 123 | |
| 3 | 2001 | 120 | |
| 4 | 1997 | 111 | |
| 5 | 2010 | 104 | |
| 6 | 2005 | 70 | |
| 7 | 2016 | 56 | |
| 8 | 2015 | 48 | |
| 9 | 2014 | 47 | |
| 10 | 2016 | 45 | |
| 11 | 2020 | 38 | |
| 12 | 2010 | 33 | |
| 13 | 2003 | 26 | |
| 14 | 2002 | 26 | |
| 15 | 2021 | 25 | |
| 16 | 2016 | 18 | |
| 17 | 2004 | 9 | |
| 18 | 2012 | 7 | |
| 19 | [A re-evaluation of the program for diabetes mellitus type 2. A proposal for quality indices]. | 1993 | 7 |
| 20 | 2021 | 6 |
About Maria Molas
Maria Molas is a scholar working on Molecular Biology, Genetics, Physiology, Surgery and Pathology and Forensic Medicine, having authored 20 papers that have together received 1.1k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (7 papers), Virus-based gene therapy research (5 papers), Lysosomal Storage Disorders Research (4 papers), Advanced biosensing and bioanalysis techniques (4 papers), Pancreatic function and diabetes (3 papers), Autism Spectrum Disorder Research (2 papers), Diabetes and associated disorders (2 papers) and DNA and Nucleic Acid Chemistry (2 papers). The work is most often cited by research in Genetics (364 citations), Physiology (267 citations), Molecular Biology (600 citations), Pharmacology (114 citations) and Genetics (58 citations). Maria Molas has collaborated with scholars based in Spain, United States and France. Frequent co-authors include José C. Perales, Richard W. Hanson, Thomas W. Ferkol, Fátima Bosch, Jesús Ruberte, Ramón Bartrons, Carles Roca, Virginia Haurigot, Judith Agudo and Sergio Muñoz. Their work appears in journals such as Journal of Biological Chemistry, Diabetologia, Diabetes, Current Gene Therapy and JCI Insight.
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.