Maria Thomas

2.9k citations
63 papers · 2.2k · h-index 27

Impact in

Papers in

    • RNA Interference and Gene Delivery 5
    • Peroxisome Proliferator-Activated Receptors 3
    • TGF-β signaling in diseases 3
    • Drug Transport and Resistance Mechanisms 7

Maria Thomas

62 papers receiving 2.2k citations

Peers

Maria Thomas
Comparison fields: 5 of 115
  • Pharmacology 322
  • Hepatology 148
  • Immunology 384
  • Transplantation 43
  • Neurology 137
Replace Qiang You with:
Qiang You China
Rajgopal Govindarajan United States
Keith N. Stewart United Kingdom
John F. Moorhead United Kingdom
Shuijun Zhang China
Inka Leier Germany
Lea‐Yea Chuang Taiwan
Hideyuki Miyoshi Japan
Grazia Serino Italy
Tomoko Oh‐hara Japan
Maria Thomas relative to Qiang You China Qiang You's profile →
Citations per field
00.5×2.9×
Qiang You · 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 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007374
2 2012127
3 2005117
4 200593
5 201689
6 200588
7 200885
8 201476
9 201376
10 201576
11 201374
12 201966
13 200563
14 201662
15 201653
16 201548
17 200742
18 201037
19 201636
20 201835

About Maria Thomas

Maria Thomas is a scholar working on Molecular Biology, Oncology, Pharmacology, Epidemiology and Immunology, having authored 63 papers that have together received 2.2k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (10 papers), Liver Disease Diagnosis and Treatment (7 papers), Drug Transport and Resistance Mechanisms (7 papers), Liver physiology and pathology (6 papers), RNA Interference and Gene Delivery (5 papers), Hormonal Regulation and Hypertension (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers) and TGF-β signaling in diseases (3 papers). The work is most often cited by research in Pharmacology (322 citations), Hepatology (148 citations), Immunology (384 citations), Transplantation (43 citations) and Neurology (137 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, Alexander Burnett, Alessandro D. Santin, Sërgio Pecorelli, Stefania Bellone, Ute Hofmann, Martin J. Cannon and Michela Palmieri. Their work appears in journals such as Drug Metabolism and Disposition, Blood, Gynecologic Oncology, Oncotarget and Archives of Toxicology.

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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