George Jackowski

2.4k citations
54 papers · 2.0k · h-index 23

Impact in

    • Advanced Proteomics Techniques and Applications
    • Mass Spectrometry Techniques and Applications
    • Metabolomics and Mass Spectrometry Studies
    • S100 Proteins and Annexins

Papers in

George Jackowski

51 papers receiving 1.9k citations

Peers

George Jackowski
Comparison fields: 5 of 125
  • Spectroscopy 323
  • Molecular Biology 960
  • Cardiology and Cardiovascular Medicine 226
  • Immunology 218
  • Biochemistry 53
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Mu Wang United States
Shizuo Handa Japan
Kenneth J. Abel United States
Walter Shaw United States
Robert L. Raynor United States
Sudhir Srivastava United States
Sara Bassilian United States
Barbara Sitek Germany
Hans Hansen Denmark
Sylvain Brunet United States
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Citations per year

Countries citing papers authored by George Jackowski

Since Specialization
Citations

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

Fields of papers citing papers by George Jackowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997287
2 2003181
3 2003176
4 2004146
5 1983137
6 1990102
7 198997
8 199892
9 200471
10
Biochemical markers in acute ischemic stroke.
200063
11 201557
12 199648
13 198142
14 199740
15 198040
16 198838
17 199738
18 198829
19 198128
20 198027

About George Jackowski

George Jackowski is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Oncology, Spectroscopy and Nutrition and Dietetics, having authored 54 papers that have together received 2.0k indexed citations. Recurring topics across this work include PARP inhibition in cancer therapy (8 papers), RNA and protein synthesis mechanisms (7 papers), Cardiomyopathy and Myosin Studies (6 papers), RNA Research and Splicing (5 papers), Cardiovascular Effects of Exercise (5 papers), Fatty Acid Research and Health (5 papers), Mass Spectrometry Techniques and Applications (5 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Spectroscopy (323 citations), Molecular Biology (960 citations), Cardiology and Cardiovascular Medicine (226 citations), Immunology (218 citations) and Biochemistry (53 citations). George Jackowski has collaborated with scholars based in Canada, United States and Italy. Frequent co-authors include Qinwei Shi, Shigui Liu, Rowel B. Tobias, É. Kun, Choong‐Chin Liew, Miyoko Takahashi, Michael J. Sole, Tean Ma, C.C. Liew and John Marshall. Their work appears in journals such as Clinical Biochemistry, Journal of Molecular and Cellular Cardiology, Journal of Biological Chemistry, Nucleic Acids Research and Developmental Biology.

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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