Márta Tóth

83 papers receiving 4.4k citations

Peers

Márta Tóth
Comparison fields: 5 of 116
  • Molecular Medicine 937
  • Cancer Research 1.9k
  • Immunology and Allergy 484
  • Hematology 580
  • Oncology 1.3k
Replace Susheela Tridandapani with:
Susheela Tridandapani United States
Jørgen Rygaard Denmark
Nicolas Kieffer France
Federica Marchesi Italy
Brian Wong United States
Yasuaki Yamada Japan
Maria Sjölund Sweden
Anders Sundan Norway
Shih‐Feng Tsai Taiwan
Gary S. Wood United States
Márta Tóth relative to Susheela Tridandapani United States Susheela Tridandapani's profile →
Citations per field
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Citations per year

Countries citing papers authored by Márta Tóth

Since Specialization
Citations

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

Fields of papers citing papers by Márta Tóth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012314
2
Activation of progelatinase B (MMP-9) by gelatinase A (MMP-2).
1995297
3 2000288
4 2003203
5 2004172
6 2003168
7
High levels of tissue inhibitor of metalloproteinase-2 (TIMP-2) expression are associated with poor outcome in invasive bladder cancer.
1996168
8 2002151
9 2003149
10 2000138
11 1998129
12 2014128
13 2000125
14 2005118
15 2002109
16 2013104
17
Phorbol ester-induced cell surface association of matrix metalloproteinase-9 in human MCF10A breast epithelial cells.
199785
18 200782
19 200776
20 200961

About Márta Tóth

Márta Tóth is a scholar working on Molecular Medicine, Molecular Biology, Oncology, Cancer Research and Pharmacology, having authored 83 papers that have together received 4.5k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (39 papers), Protease and Inhibitor Mechanisms (29 papers), Peptidase Inhibition and Analysis (26 papers), Antibiotics Pharmacokinetics and Efficacy (16 papers), Blood Coagulation and Thrombosis Mechanisms (13 papers), Bacterial Genetics and Biotechnology (10 papers), RNA and protein synthesis mechanisms (10 papers) and Biochemical and Molecular Research (8 papers). The work is most often cited by research in Molecular Medicine (937 citations), Cancer Research (1.9k citations), Immunology and Allergy (484 citations), Hematology (580 citations) and Oncology (1.3k citations). Márta Tóth has collaborated with scholars based in United States, Hungary and Japan. Frequent co-authors include Rafael Fridman, Shahriar Mobashery, Sergei B. Vakulenko, Rafael Fridman, Clyde A. Smith, M. Margarida Bernardo, David C. Gervasi, Sonia Hernandez‐Barrantes, Anjum Sohail and Hilary Frase. Their work appears in journals such as Journal of Biological Chemistry, Antimicrobial Agents and Chemotherapy, ACS Infectious Diseases, Journal of the American Chemical Society and mBio.

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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