Seda Arat

530 citations
12 papers · 320 · h-index 9

Impact in

  • Toxicology top 10%
    • Pharmacovigilance and Adverse Drug Reactions
    • Drug-Induced Hepatotoxicity and Protection

Papers in

    • Drug Transport and Resistance Mechanisms 2
    • Cancer Immunotherapy and Biomarkers 2
    • Peptidase Inhibition and Analysis 1
    • Epigenetics and DNA Methylation 1
    • Melanoma and MAPK Pathways 1

Seda Arat

11 papers receiving 314 citations

Peers

Seda Arat
Comparison fields: 5 of 93
  • Toxicology 20
  • Pharmacology 31
  • Computational Theory and Mathematics 52
  • Molecular Biology 152
  • Pollution 23
Replace Jingtao Lu with:
Jingtao Lu China
Saurabh Sharma India
Xueliang Han United States
Irene Cardillo Italy
Virgile Richard United States
Tom Delanghe Belgium
Heike Marxfeld Germany
Deborah K. Ngan United States
Anna Sałkowska Poland
Keith M. Goldstein United States
Seda Arat relative to Jingtao Lu China Jingtao Lu's profile →
Citations per field
00.5×4.6×
Jingtao Lu · 1×
Citations per year

Countries citing papers authored by Seda Arat

Since Specialization
Citations

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

Fields of papers citing papers by Seda Arat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 201559
2 201259
3 202058
4 201847
5 202128
6 202122
7 201720
8 201412
9 201810
10 20223
11 20212
12 20250

About Seda Arat

Seda Arat is a scholar working on Oncology, Molecular Biology, Pharmacology, Infectious Diseases and Pollution, having authored 12 papers that have together received 320 indexed citations. Recurring topics across this work include Drug-Induced Hepatotoxicity and Protection (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Pharmacogenetics and Drug Metabolism (1 paper), Tuberculosis Research and Epidemiology (1 paper), Epigenetics and DNA Methylation (1 paper), Melanoma and MAPK Pathways (1 paper) and Peptidase Inhibition and Analysis (1 paper). The work is most often cited by research in Toxicology (20 citations), Pharmacology (31 citations), Computational Theory and Mathematics (52 citations), Molecular Biology (152 citations) and Pollution (23 citations). Seda Arat has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Reinhard Laubenbacher, George S. Bullerjahn, James R. Brown, Zhang Wang, Michal Magid-Slav, Alan Veliz‐Cuba, David Murrugarra, Boris Aguilar, Bumjun Kim and László Urbán. Their work appears in journals such as BMC Systems Biology, Journal of Hepatology, Genetics, Toxicological Sciences and Antimicrobial Agents and Chemotherapy.

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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