Karin Jorga

2.5k citations
51 papers · 2.1k · 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

51 papers receiving 2.0k citations

Peers

Karin Jorga
Comparison fields: 5 of 116
  • Pharmacology 299
  • Neurology 398
  • Hepatology 198
  • Modeling and Simulation 70
  • Statistics and Probability 125
Replace Vikram Sinha with:
Vikram Sinha United States
Danièle Ouellet United States
Jeffry Florian United States
Nishit B. Modi United States
Jürgen Venitz United States
Horst Schran United States
Michel Lemaire Japan
Richard Peck United Kingdom
Alain Munafo Switzerland
Shekman Wong United States
Karin Jorga relative to Vikram Sinha United States Vikram Sinha's profile →
Citations per field
00.5×7.7×
Vikram Sinha · 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 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006292
2 2009214
3 2012130
4 1995105
5 2011100
6 1995100
7 201093
8 200192
9 199979
10 200669
11 200165
12 200764
13 199659
14 200158
15 201150
16 200644
17 200643
18 199740
19 199738
20 199834

About Karin Jorga

Karin Jorga is a scholar working on Neurology, Infectious Diseases, Molecular Biology, Oncology and Psychiatry and Mental health, having authored 51 papers that have together received 2.1k 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 (299 citations), Neurology (398 citations), Hepatology (198 citations), Modeling and Simulation (70 citations) and Statistics and Probability (125 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, P. Heizmann, Laurent Claret and Eric Van Cutsem. Their work appears in journals such as British Journal of Clinical Pharmacology, Clinical Pharmacology & Therapeutics, Journal of Clinical Oncology, European Journal of Clinical Pharmacology and CPT Pharmacometrics & Systems 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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