Maria Molas

1.4k citations
20 papers · 1.1k · h-index 16

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
    • Metabolism, Diabetes, and Cancer 2
    • Virus-based gene therapy research 5

Maria Molas

20 papers receiving 1.1k citations

Peers

Maria Molas
Comparison fields: 5 of 87
  • Genetics 384
  • Physiology 277
  • Molecular Biology 627
  • Pharmacology 115
  • Genetics 63
Replace Bjørn Ivar Haukanes with:
Bjørn Ivar Haukanes Norway
Federica Vincenzoni Italy
Fernand‐Pierre Gendron Canada
Alexander V. Skurat United States
Tatsuhito Himeno Japan
Stefanie Weinert Germany
Diana Hernandez United Kingdom
Balduino Mastrofrancesco United States
Weidong Yong United States
Salete Smaniotto Brazil
Maria Molas relative to Bjørn Ivar Haukanes Norway Bjørn Ivar Haukanes's profile →
Citations per field
00.5×3.6×
Bjørn Ivar Haukanes · 1×
Citations per year

Countries citing papers authored by Maria Molas

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Maria Molas Line = papers co-authored together Maria Molas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2013176
2 1994123
3 2001121
4 1997111
5 2010104
6 200570
7 201656
8 201446
9 201545
10 201644
11 202037
12 201033
13 200326
14 200226
15 202124
16 201618
17 20049
18
[A re-evaluation of the program for diabetes mellitus type 2. A proposal for quality indices].
19937
19 20127
20 20216

About Maria Molas

Maria Molas is a scholar working on Molecular Biology, Genetics, Physiology, Surgery and Epidemiology, 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), Pancreatic function and diabetes (5 papers), Virus-based gene therapy research (5 papers), Advanced biosensing and bioanalysis techniques (4 papers), Lysosomal Storage Disorders Research (4 papers), Metabolism, Diabetes, and Cancer (2 papers), Autism Spectrum Disorder Research (2 papers) and Vitamin D Research Studies (2 papers). The work is most often cited by research in Genetics (384 citations), Physiology (277 citations), Molecular Biology (627 citations), Pharmacology (115 citations) and Genetics (63 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, Miquel García, Ramón Bartrons, Carles Roca, Virginia Haurigot and Judith Agudo. Their work appears in journals such as Journal of Biological Chemistry, Diabetes, Diabetologia, Molecular Therapy and European Journal of Biochemistry.

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.

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