Julia Kargl

4.7k citations
68 papers · 3.2k · h-index 29

Impact in

  • Immunology top 2%
    • Immune cells in cancer
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms
    • Cannabis and Cannabinoid Research

Papers in

    • Immune cells in cancer 12
    • Immune Cell Function and Interaction 11
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 8
    • Reproductive System and Pregnancy 5
    • Cancer Immunotherapy and Biomarkers 12

Julia Kargl

65 papers receiving 3.2k citations

Peers

Julia Kargl
Comparison fields: 5 of 111
  • Immunology 988
  • Pharmacology 683
  • Oncology 768
  • Genetics 197
  • Biological Psychiatry 44
Replace Lily Lu with:
Lily Lu United States
Linda S. Higgins United States
Melanie J. Welham United Kingdom
Felicity N. E. Gavins United Kingdom
Graziano Pelli Switzerland
Yihong Wan United States
Zhongzhou Yang China
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Citations per field
00.5×2.9×
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Citations per year

Countries citing papers authored by Julia Kargl

Since Specialization
Citations

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

Fields of papers citing papers by Julia Kargl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017292
2 2017290
3 2010174
4 2015165
5 2011156
6 2019152
7 2019137
8 2011133
9 2016114
10 2014103
11 201892
12 201790
13 201785
14 201584
15 201278
16 202177
17 201375
18 201971
19 202170
20 201069

About Julia Kargl

Julia Kargl is a scholar working on Immunology, Oncology, Molecular Biology, Pharmacology and Surgery, having authored 68 papers that have together received 3.2k indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (12 papers), Immune cells in cancer (12 papers), Cancer Immunotherapy and Biomarkers (12 papers), Immune Cell Function and Interaction (11 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (8 papers), Pregnancy and preeclampsia studies (6 papers), Reproductive System and Pregnancy (5 papers) and Receptor Mechanisms and Signaling (4 papers). The work is most often cited by research in Immunology (988 citations), Pharmacology (683 citations), Oncology (768 citations), Genetics (197 citations) and Biological Psychiatry (44 citations). Julia Kargl has collaborated with scholars based in Austria, United States and United Kingdom. Frequent co-authors include A. McGarry Houghton, Maria Waldhoer, Ákos Heinemann, Nariman Balenga, Heather Metz, Mark L. Hanke, Rudolf Schicho, Andrew J. Brown, Stephanie Busch and Wolfgang Platzer. Their work appears in journals such as Frontiers in Immunology, Cancer Research, International Journal of Molecular Sciences, British Journal of Pharmacology and Antioxidants.

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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