Karin Haack

3.1k citations
82 papers · 2.0k · h-index 22

Impact in

Papers in

    • Epigenetics and DNA Methylation 7
    • RNA Interference and Gene Delivery 4
    • Genetic Associations and Epidemiology 10
    • Virus-based gene therapy research 6

Karin Haack

78 papers receiving 1.9k citations

Peers

Karin Haack
Comparison fields: 5 of 120
  • Rehabilitation 209
  • Nephrology 137
  • Genetics 499
  • Endocrine and Autonomic Systems 92
  • Complementary and alternative medicine 105
Replace Elisabeth R. Trimble with:
Elisabeth R. Trimble United Kingdom
Terry D. Hinds United States
Sven Schinner Germany
Kazushige Dobashi Japan
Masaharu Ikeda Japan
Ian M. Burr United States
Huijie Zhang China
J C Russell Canada
Yoshiaki Hitomi Japan
Hong Jin China
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Citations per field
00.5×5.2×
Elisabeth R. Trimble · 1×
Citations per year

Countries citing papers authored by Karin Haack

Since Specialization
Citations

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

Fields of papers citing papers by Karin Haack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992388
2 2012275
3 199877
4
Monitoring gene therapy with cytosine deaminase: in vitro studies using tritiated-5-fluorocytosine.
199669
5 202067
6 200960
7 201658
8 200857
9 201244
10 201037
11 200036
12 201536
13 201635
14 201633
15 201032
16 201329
17 200426
18 202026
19 199624
20 201223

About Karin Haack

Karin Haack is a scholar working on Molecular Biology, Genetics, Nephrology, Epidemiology and Environmental Chemistry, having authored 82 papers that have together received 2.0k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (10 papers), Gout, Hyperuricemia, Uric Acid (9 papers), Arsenic contamination and mitigation (8 papers), Epigenetics and DNA Methylation (7 papers), Alcohol Consumption and Health Effects (6 papers), Virus-based gene therapy research (6 papers), Heavy Metal Exposure and Toxicity (5 papers) and RNA Interference and Gene Delivery (4 papers). The work is most often cited by research in Rehabilitation (209 citations), Nephrology (137 citations), Genetics (499 citations), Endocrine and Autonomic Systems (92 citations) and Complementary and alternative medicine (105 citations). Karin Haack has collaborated with scholars based in United States, Spain and Austria. Frequent co-authors include Shelley A. Cole, V. Saroja Voruganti, Anthony G. Comuzzie, Peter A. Valberg, L Kobzik, Michael B. Reid, Sandra Laston, Nancy F. Butte, Richard A. Gibbs and Jason G. Umans. Their work appears in journals such as PLoS ONE, Environmental Health Perspectives, Frontiers in Genetics, American Journal of Clinical Nutrition and Clinical Epigenetics.

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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