Nir Qvit

2.5k citations
52 papers · 2k · h-index 19

Impact in

    • Mitochondrial Function and Pathology
    • Chemical Synthesis and Analysis
    • Protein Kinase Regulation and GTPase Signaling
  • Microbiology top 10%
    • Antimicrobial Peptides and Activities

Papers in

Nir Qvit

49 papers receiving 2k citations

Peers

Nir Qvit
Comparison fields: 5 of 99
  • Molecular Biology 1.3k
  • Microbiology 54
  • Sensory Systems 36
  • Pathology and Forensic Medicine 107
  • Neurology 82
Replace Hamid Galehdari with:
Hamid Galehdari Iran
Xuemei Hu China
Satoshi Yasuda Japan
Alba Clara Sarti Italy
Anna Lisa Giuliani Italy
Wenkai Jiang China
Heming Wu China
Xin Zeng United States
Dezheng Zhao United States
Nir Qvit relative to Hamid Galehdari Iran Hamid Galehdari's profile →
Citations per field
00.5×2×3×3.9×
Hamid Galehdari · 1×
Citations per year

Countries citing papers authored by Nir Qvit

Since Specialization
Citations

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

Fields of papers citing papers by Nir Qvit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012396
2 2016233
3 2016202
4 2015184
5 2017140
6 2023136
7 200888
8 201886
9 201985
10 201646
11 201636
12 201031
13 201831
14 201630
15 201629
16 202326
17 201419
18 201719
19 201819
20 200817

About Nir Qvit

Nir Qvit is a scholar working on Molecular Biology, Computational Theory and Mathematics, Pathology and Forensic Medicine, Epidemiology and Cellular and Molecular Neuroscience, having authored 52 papers that have together received 2k indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (18 papers), Mitochondrial Function and Pathology (11 papers), Protein Kinase Regulation and GTPase Signaling (7 papers), Protein Structure and Dynamics (4 papers), Research on Leishmaniasis Studies (3 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (3 papers), Trypanosoma species research and implications (3 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Molecular Biology (1.3k citations), Microbiology (54 citations), Sensory Systems (36 citations), Pathology and Forensic Medicine (107 citations) and Neurology (82 citations). Nir Qvit has collaborated with scholars based in Israel, United States and Brazil. Frequent co-authors include Daria Mochly‐Rosen, Xin Qi, Yu-Chin Su, Samuel J. S. Rubin, Opher S. Kornfeld, Eric Richard Gross, Anna D. Cunningham, Marie‐Hélène Disatnik, Che‐Hong Chen and Sunhee Hwang. Their work appears in journals such as Current Topics in Medicinal Chemistry, International Journal of Molecular Sciences, Journal of Visualized Experiments, Computational and Structural Biotechnology Journal and Biopolymers.

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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