George Jackowski

2.4k citations
51 papers · 1.8k · h-index 21

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

48 papers receiving 1.8k citations

Peers

George Jackowski
Comparison fields: 5 of 119
  • Spectroscopy 317
  • Molecular Biology 933
  • Immunology 222
  • Cardiology and Cardiovascular Medicine 232
  • Biochemistry 51
Replace Robin Farias‐Eisner with:
Robin Farias‐Eisner United States
Begoña Ochoa Spain
Barbara Sitek Germany
Shajna Begum United Kingdom
Robert L. Raynor United States
Hiromasa Tojo Japan
Sudhir Srivastava United States
Damiana Pieragostino Italy
Hans Hansen Denmark
Rong Zeng China
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Citations per field
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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 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997286
2 2003174
3 2003165
4 2004144
5 1983118
6 199099
7 198990
8 200469
9
Biochemical markers in acute ischemic stroke.
200061
10 201555
11 199648
12 198138
13 198037
14 199736
15 198835
16 199735
17 198828
18 198127
19 199623
20 198022

About George Jackowski

George Jackowski is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Spectroscopy, Oncology and Nutrition and Dietetics, having authored 51 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (7 papers), RNA and protein synthesis mechanisms (7 papers), Cardiovascular Effects of Exercise (6 papers), PARP inhibition in cancer therapy (6 papers), Fatty Acid Research and Health (5 papers), RNA Research and Splicing (5 papers), RNA modifications and cancer (5 papers) and Mass Spectrometry Techniques and Applications (5 papers). The work is most often cited by research in Spectroscopy (317 citations), Molecular Biology (933 citations), Immunology (222 citations), Cardiology and Cardiovascular Medicine (232 citations) and Biochemistry (51 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, Choong‐Chin Liew, É. Kun, Miyoko Takahashi, John Marshall, Inga Kireeva, C.C. Liew and Tean Ma. Their work appears in journals such as Clinical Biochemistry, Journal of Molecular and Cellular Cardiology, Journal of Biological Chemistry, Journal of Proteome Research and Nucleic Acids Research.

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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