Emese Kis

940 citations
29 papers · 699 · h-index 15

Impact in

    • Pharmacogenetics and Drug Metabolism
    • Drug-Induced Hepatotoxicity and Protection
  • Oncology top 5%
    • Drug Transport and Resistance Mechanisms

Papers in

Emese Kis

29 papers receiving 673 citations

Peers

Emese Kis
Comparison fields: 5 of 88
  • Pharmacology 170
  • Oncology 463
  • Pediatrics, Perinatology and Child Health 199
  • Hepatology 29
  • Pharmaceutical Science 24
Replace Christian Zimmermann with:
Christian Zimmermann Germany
Sai Praneeth Bathena United States
Mitesh Patel United States
Jolanta Tanianis-Hughes United Kingdom
Diana Busch Germany
Sarinj Fattah Ireland
Alba G. Blazquez Spain
Helen J. Renaud United States
Michiyuki Kato Japan
Johan Monbaliu Belgium
Emese Kis relative to Christian Zimmermann Germany Christian Zimmermann's profile →
Citations per field
00.5×3.0×
Christian Zimmermann · 1×
Citations per year

Countries citing papers authored by Emese Kis

Since Specialization
Citations

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

Fields of papers citing papers by Emese Kis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200980
2 200756
3 202155
4 201953
5 201953
6 201144
7 201840
8 200839
9 200930
10 201129
11 200626
12 201120
13 201719
14 201216
15 202015
16 201213
17 201413
18 202012
19 200812
20 201212

About Emese Kis

Emese Kis is a scholar working on Oncology, Pediatrics, Perinatology and Child Health, Pharmacology, Surgery and Molecular Biology, having authored 29 papers that have together received 699 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (26 papers), Pharmacological Effects and Toxicity Studies (14 papers), Pharmacogenetics and Drug Metabolism (5 papers), Drug-Induced Hepatotoxicity and Protection (3 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers), Trace Elements in Health (3 papers), Cholesterol and Lipid Metabolism (3 papers) and Folate and B Vitamins Research (2 papers). The work is most often cited by research in Pharmacology (170 citations), Oncology (463 citations), Pediatrics, Perinatology and Child Health (199 citations), Hepatology (29 citations) and Pharmaceutical Science (24 citations). Emese Kis has collaborated with scholars based in Hungary, United States and United Kingdom. Frequent co-authors include Péter Krajcsi, Krisztina Herédi‐Szabó, Enikő Ioja, Zsuzsanna Gáborik, Márton Jani, Bhagwat Prasad, Franciska Erdő, E. M. Molnar, Abdul Basit and Tünde Nagy. Their work appears in journals such as SLAS DISCOVERY, Drug Metabolism and Disposition, Toxicology in Vitro, Expert Opinion on Drug Metabolism & Toxicology and Clinical Pharmacology & Therapeutics.

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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