Maayan Gal

39 papers receiving 648 citations

Peers

Maayan Gal
Comparison fields: 5 of 84
  • Spectroscopy 283
  • Nuclear and High Energy Physics 211
  • Radiology, Nuclear Medicine and Imaging 184
  • Biophysics 31
  • Molecular Biology 328
Replace Geoffrey S. Armstrong with:
Geoffrey S. Armstrong United States
Jakob J. Lopez Germany
Alexandar L. Hansen United States
Sergio Gil‐Caballero Spain
S. M. Cohen United States
Carlos Amero Mexico
Abhinav Dubey India
Diego F. Gauto France
Simone Kosol United Kingdom
Geoffrey Bodenhausen Switzerland
Maayan Gal relative to Geoffrey S. Armstrong United States Geoffrey S. Armstrong's profile →
Citations per field
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Geoffrey S. Armstrong · 1×
Citations per year

Countries citing papers authored by Maayan Gal

Since Specialization
Citations

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

Fields of papers citing papers by Maayan Gal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201089
2 201984
3 200784
4 200572
5 200953
6 200936
7 200832
8 196720
9 201117
10 201415
11 202112
12 202311
13 201611
14 201511
15 200710
16 200810
17 20107
18 20217
19 20236
20 20176

About Maayan Gal

Maayan Gal is a scholar working on Spectroscopy, Nuclear and High Energy Physics, Radiology, Nuclear Medicine and Imaging, Rheumatology and Urology, having authored 42 papers that have together received 657 indexed citations. Recurring topics across this work include Advanced NMR Techniques and Applications (12 papers), NMR spectroscopy and applications (11 papers), Advanced MRI Techniques and Applications (10 papers), Enzyme Structure and Function (6 papers), Signaling Pathways in Disease (4 papers), Protein Structure and Dynamics (4 papers), Plant Stress Responses and Tolerance (3 papers) and Dupuytren's Contracture and Treatments (3 papers). The work is most often cited by research in Spectroscopy (283 citations), Nuclear and High Energy Physics (211 citations), Radiology, Nuclear Medicine and Imaging (184 citations), Biophysics (31 citations) and Molecular Biology (328 citations). Maayan Gal has collaborated with scholars based in Israel, United States and France. Frequent co-authors include Lucio Frydman, Bernhard Brutscher, Paul Schanda, Mor Mishkovsky, Mi‐Kyung Lee, Gabriele Varani, Koh Takeuchi, Jan de Vries, Andrew C. Cuming and Assaf Mosquna. Their work appears in journals such as Journal of Biomolecular NMR, Angewandte Chemie International Edition, Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Magnetic Resonance in Chemistry.

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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