Maria Thomas

2.9k citations
62 papers · 2.1k · h-index 26

Impact in

Papers in

    • RNA Interference and Gene Delivery 7
    • Peroxisome Proliferator-Activated Receptors 4
    • Advanced biosensing and bioanalysis techniques 4
    • Drug Transport and Resistance Mechanisms 10

Maria Thomas

61 papers receiving 2.1k citations

Peers

Maria Thomas
Comparison fields: 5 of 112
  • Pharmacology 342
  • Hepatology 162
  • Immunology 416
  • Transplantation 47
  • Neurology 138
Replace Keith N. Stewart with:
Keith N. Stewart United Kingdom
Qiang You China
Rajgopal Govindarajan United States
Shuijun Zhang China
Marcel de Haas Netherlands
Lea‐Yea Chuang Taiwan
Grazia Serino Italy
Cody J. Peer United States
Tomoko Oh‐hara Japan
Jyrki J. Eloranta Switzerland
Maria Thomas relative to Keith N. Stewart United Kingdom Keith N. Stewart's profile →
Citations per field
00.5×2.9×
Keith N. Stewart · 1×
Citations per year

Countries citing papers authored by Maria Thomas

Since Specialization
Citations

This map shows the geographic impact of Maria Thomas'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 Thomas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Thomas more than expected).

Fields of papers citing papers by Maria Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria Thomas. 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 Thomas. The network helps show where Maria Thomas may publish in the future.

Co-authors

The 25 scholars most cited alongside Maria Thomas, 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 Thomas Line = papers co-authored together Maria Thomas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007358
2 2012124
3 2005113
4 200590
5 200586
6 201686
7 200874
8 201474
9 201373
10 201572
11 201363
12 201963
13 201662
14 200561
15 201652
16 201548
17 200742
18 201835
19 201534
20 201034

About Maria Thomas

Maria Thomas is a scholar working on Molecular Biology, Oncology, Epidemiology, Pharmacology and Immunology, having authored 62 papers that have together received 2.1k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (10 papers), Drug Transport and Resistance Mechanisms (10 papers), Liver Disease Diagnosis and Treatment (9 papers), Liver physiology and pathology (7 papers), RNA Interference and Gene Delivery (7 papers), Virus-based gene therapy research (4 papers), Peroxisome Proliferator-Activated Receptors (4 papers) and Advanced biosensing and bioanalysis techniques (4 papers). The work is most often cited by research in Pharmacology (342 citations), Hepatology (162 citations), Immunology (416 citations), Transplantation (47 citations) and Neurology (138 citations). Maria Thomas has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Ulrich M. Zanger, Kathrin Klein, Matthias Schwab, Stefania Bellone, Alexander Burnett, Sërgio Pecorelli, Alessandro D. Santin, Ute Hofmann, Martin J. Cannon and Michela Palmieri. Their work appears in journals such as Blood, Drug Metabolism and Disposition, Molecular Pharmacology, Cancers and Oncotarget.

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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