Karin Jorga

2.5k citations
50 papers · 2.0k · h-index 25

Impact in

    • Pharmacogenetics and Drug Metabolism
  • Neurology top 2%
    • Parkinson's Disease Mechanisms and Treatments
    • Neurological disorders and treatments

Papers in

Karin Jorga

50 papers receiving 1.9k citations

Peers

Karin Jorga
Comparison fields: 5 of 113
  • Pharmacology 281
  • Neurology 382
  • Hepatology 195
  • Statistics and Probability 120
  • Modeling and Simulation 64
Replace Philippe Jacqmin with:
Philippe Jacqmin Belgium
Danièle Ouellet United States
Amarnath Sharma United States
Horst Schran United States
Jürgen Venitz United States
Mark Avigan United States
Richard Peck United Kingdom
Alain Munafo Switzerland
Eric Snoeck Belgium
Ludger Banken Switzerland
Karin Jorga relative to Philippe Jacqmin Belgium Philippe Jacqmin's profile →
Citations per field
00.5×9.6×
Philippe Jacqmin · 1×
Citations per year

Countries citing papers authored by Karin Jorga

Since Specialization
Citations

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

Fields of papers citing papers by Karin Jorga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006277
2 2009204
3 2012127
4 1995103
5 201198
6 199596
7 201089
8 200186
9 200669
10 199967
11 200761
12 200161
13 199659
14 200154
15 201148
16 200644
17 200641
18 199738
19 199734
20 199833

About Karin Jorga

Karin Jorga is a scholar working on Neurology, Infectious Diseases, Molecular Biology, Oncology and Psychiatry and Mental health, having authored 50 papers that have together received 2.0k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (7 papers), Epilepsy research and treatment (6 papers), HIV/AIDS drug development and treatment (5 papers), Hepatitis C virus research (5 papers), Pharmacological Effects and Toxicity Studies (5 papers), Hedgehog Signaling Pathway Studies (4 papers), Pharmacogenetics and Drug Metabolism (4 papers) and Statistical Methods in Clinical Trials (3 papers). The work is most often cited by research in Pharmacology (281 citations), Neurology (382 citations), Hepatology (195 citations), Statistics and Probability (120 citations) and Modeling and Simulation (64 citations). Karin Jorga has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Neil Parrott, Hannah M. Jones, G. Zürcher, Jasper Dingemanse, G Sędek, P. van Brummelen, Eric Snoeck, Laurent Claret, Eric Van Cutsem and Paulo M. Hoff. Their work appears in journals such as British Journal of Clinical Pharmacology, Clinical Pharmacology & Therapeutics, Journal of Clinical Oncology, CPT Pharmacometrics & Systems Pharmacology and European Journal of Clinical 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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