Jack Lubowsky

571 citations
27 papers · 445 · h-index 13

Impact in

  • Biophysics top 5%
    • Electromagnetic Fields and Biological Effects
    • Functional Brain Connectivity Studies
    • Neural dynamics and brain function

Papers in

Jack Lubowsky

26 papers receiving 432 citations

Peers

Jack Lubowsky
Comparison fields: 5 of 85
  • Biophysics 59
  • Cognitive Neuroscience 126
  • Neurology 37
  • Acoustics and Ultrasonics 4
  • Radiology, Nuclear Medicine and Imaging 101
Replace Tamara Berdyyeva with:
Tamara Berdyyeva United States
Danielle Feng United States
Jun Dazai Canada
Young Ro Kim United States
S. E. G. Nilsson Sweden
Alexander Tolpygo United States
Philip O’Herron United States
Artem Khmelinskii Netherlands
Miguel R. Chuapoco United States
Philip M. Borden United States
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Citations per field
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Tamara Berdyyeva · 1×
Citations per year

Countries citing papers authored by Jack Lubowsky

Since Specialization
Citations

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

Fields of papers citing papers by Jack Lubowsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198786
2 198161
3 199039
4 199330
5 198725
6 199125
7 198719
8 199217
9 198516
10 198816
11 198816
12 199214
13 198513
14 200510
15 198910
16 19859
17 19738
18 19875
19 19835
20 19874

About Jack Lubowsky

Jack Lubowsky is a scholar working on Molecular Biology, Biomedical Engineering, Materials Chemistry, Radiology, Nuclear Medicine and Imaging and Cellular and Molecular Neuroscience, having authored 27 papers that have together received 445 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (6 papers), Enzyme Structure and Function (5 papers), RNA and protein synthesis mechanisms (4 papers), Random lasers and scattering media (3 papers), Optical Imaging and Spectroscopy Techniques (3 papers), Microwave Imaging and Scattering Analysis (3 papers), Medical Imaging Techniques and Applications (2 papers) and Chemical Synthesis and Analysis (2 papers). The work is most often cited by research in Biophysics (59 citations), Cognitive Neuroscience (126 citations), Neurology (37 citations), Acoustics and Ultrasonics (4 citations) and Radiology, Nuclear Medicine and Imaging (101 citations). Jack Lubowsky has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Arthur D. Rosen, Harry L. Graber, Randall L. Barbour, Raphael Aronson, Matthew R. Pincus, Matthew Avitable, Alvin S. Bernstein, Paul W. Brandt‐Rauf, Kenneth W. Taylor and Samuel Juni. Their work appears in journals such as Experimental Neurology, Proceedings of the National Academy of Sciences, The Protein Journal, Schizophrenia Bulletin and IEEE Transactions on Biomedical Engineering.

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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