Gal Masrati

1.2k citations
18 papers · 694 indexed · 1 hit paper · h-index 9
Topics
Protein Structure and Dynamics (5 papers)Bacterial Genetics and Biotechnology (4 papers)Drug Transport and Resistance Mechanisms (3 papers)

In The Last Decade

Gal Masrati

18 papers receiving 693 citations

Hit Papers

Using evolutionary data to make sense of macromolecules w...2023202620242025202350100150

Peers

Gal Masrati
Comparison fields: 5 of 84
  • Molecular Biology 445
  • Plant Science 212
  • Cell Biology 73
  • Genetics 57
  • Materials Chemistry 55
Replace Deqiang Yao with:
Deqiang Yao China
Jörg Freigang Germany
Mariana Gallo Italy
Huijong Han Germany
László Dobson Hungary
Sudip Kundu India
Arindam Bhattacharjee India
Jesús M. Arizmendi Spain
Kristin T. Chun United States
Harald Marx Germany
Gal Masrati relative to Deqiang Yao China Deqiang Yao's profile →
Citations per field
00.5×1.5×
Deqiang Yao · 1×
Citations per year

Countries citing papers authored by Gal Masrati

Since Specialization
Citations

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

Fields of papers citing papers by Gal Masrati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gal Masrati

This figure shows the co-authorship network connecting the top 25 collaborators of Gal Masrati. A scholar is included among the top collaborators of Gal Masrati based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gal Masrati. Gal Masrati is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 1
2 1
3
Using evolutionary data to make sense of macromolecules with a “face‐lifted” ConSurfbreakdown →
186
4 1
5 4
6 8
7 5
8 7
9 68
10 36
11 17
12 8
13 5
14 137
15 65
16 40
17 88
18 17

About Gal Masrati

Gal Masrati is a scholar working on Biochemistry, Nutrition and Dietetics and Molecular Biology, having authored 18 papers that have together received 694 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (5 papers), Bacterial Genetics and Biotechnology (4 papers) and Drug Transport and Resistance Mechanisms (3 papers). The work is most often cited by research in Molecular Biology (445 citations), Plant Science (212 citations) and Biochemistry (34 citations). Gal Masrati has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Nir Ben‐Tal, Amit Kessel, Itay Mayrose, Haim Ashkenazy, Tal Pupko, Elon Yariv, Eric Martz, Wenjun Zhu, Amir Sharon and Etana Padan. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

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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