Julia Duda

1.4k citations
23 papers · 1.1k · h-index 14

Impact in

    • Neutrino Physics Research
    • Particle physics theoretical and experimental studies
    • Quantum Chromodynamics and Particle Interactions
    • Nuclear physics research studies
    • Drug-Induced Hepatotoxicity and Protection

Papers in

    • Neutrino Physics Research 7
    • Particle physics theoretical and experimental studies 6
    • Quantum Chromodynamics and Particle Interactions 3
    • Drug-Induced Hepatotoxicity and Protection 3

Julia Duda

23 papers receiving 1.1k citations

Peers

Julia Duda
Comparison fields: 5 of 42
  • Nuclear and High Energy Physics 951
  • Pharmacology 25
  • Hepatology 21
  • Oncology 23
  • Epidemiology 25
Replace Heeyeon Kim with:
Heeyeon Kim South Korea
Xu Zhou China
Dongyi Liu Switzerland
Y. Urano Japan
J. S. Kim South Korea
Margaret W. Greene United States
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Citations per field
00.5×5×10×12.5×
Heeyeon Kim · 1×
Citations per year

Countries citing papers authored by Julia Duda

Since Specialization
Citations

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

Fields of papers citing papers by Julia Duda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Julia Duda, 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 Julia Duda Line = papers co-authored together Julia Duda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984306
2 1991175
3 1984102
4 1986101
5 199074
6 198265
7 198760
8 202342
9 202132
10 198222
11 202122
12 198521
13 198315
14 198615
15 202310
16 20227
17 20236
18 20225
19 20235
20 20224

About Julia Duda

Julia Duda is a scholar working on Nuclear and High Energy Physics, Pharmacology, Statistics and Probability, Epidemiology and Cancer Research, having authored 23 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neutrino Physics Research (7 papers), Particle physics theoretical and experimental studies (6 papers), Liver Disease Diagnosis and Treatment (3 papers), Quantum Chromodynamics and Particle Interactions (3 papers), Drug-Induced Hepatotoxicity and Protection (3 papers), Gene expression and cancer classification (2 papers), Statistical Methods in Clinical Trials (2 papers) and Statistical Methods and Inference (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (951 citations), Pharmacology (25 citations), Hepatology (21 citations), Oncology (23 citations) and Epidemiology (25 citations). Julia Duda has collaborated with scholars based in Germany, Switzerland and China. Frequent co-authors include Jörg Rahnenführer, Franziska Kappenberg, Jan Georg Hengstler, H. Kück, R. Wedemeyer, Tim Brecklinghaus, Hanns–Ulrich Marschall, Mian Zhang, Maximilian Hatting and Karolina Edlund. Their work appears in journals such as The European Physical Journal C, Chemico-Biological Interactions, Physics Letters B, Journal of Hepatology and Regulatory Toxicology and Pharmacology.

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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