Ravit Malishev

616 citations
19 papers · 529 · h-index 13

Impact in

Papers in

    • Lipid Membrane Structure and Behavior 4
    • S100 Proteins and Annexins 2
    • Alzheimer's disease research and treatments 11

Ravit Malishev

19 papers receiving 522 citations

Peers

Ravit Malishev
Comparison fields: 5 of 69
  • Physiology 159
  • Complementary and alternative medicine 47
  • Materials Chemistry 245
  • Biomaterials 63
  • Pharmacology 53
Replace Sukhendu Nandi with:
Sukhendu Nandi Israel
Ming Ming Wen Egypt
Elad Arad Israel
Ghibom Bhak South Korea
Azam Hashemi Iran
María Antonia Egea Spain
Cagla Sahin Denmark
Ruiyang Ma China
Linjing Zhao China
Shiyao Fu China
Ravit Malishev relative to Sukhendu Nandi Israel Sukhendu Nandi's profile →
Citations per field
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Sukhendu Nandi · 1×
Citations per year

Countries citing papers authored by Ravit Malishev

Since Specialization
Citations

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

Fields of papers citing papers by Ravit Malishev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2018110
2 201483
3 201758
4 201637
5 201834
6 202133
7 201526
8 201821
9 202121
10 201519
11 201819
12 201919
13 201615
14 20189
15 20237
16 20207
17 20185
18 20174
19 20212

About Ravit Malishev

Ravit Malishev is a scholar working on Molecular Biology, Physiology, Materials Chemistry, Biomaterials and Pharmacology, having authored 19 papers that have together received 529 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (11 papers), Carbon and Quantum Dots Applications (5 papers), Lipid Membrane Structure and Behavior (4 papers), Cholinesterase and Neurodegenerative Diseases (3 papers), Luminescence and Fluorescent Materials (3 papers), Nanocluster Synthesis and Applications (3 papers), Supramolecular Self-Assembly in Materials (3 papers) and S100 Proteins and Annexins (2 papers). The work is most often cited by research in Physiology (159 citations), Complementary and alternative medicine (47 citations), Materials Chemistry (245 citations), Biomaterials (63 citations) and Pharmacology (53 citations). Ravit Malishev has collaborated with scholars based in Israel, Germany and United States. Frequent co-authors include Raz Jelinek, Sofiya Kolusheva, Sukhendu Nandi, Ehud Gazit, Shira Shaham‐Niv, Susanta Kumar Bhunia, Elad Arad, Meytal Landau, Jürgen Jopp and Michaël M. Meijler. Their work appears in journals such as ACS Chemical Neuroscience, Chemical Communications, Biochimica et Biophysica Acta (BBA) - Biomembranes, Journal of Molecular Biology and Biochemistry.

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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