Nino Mzhavia

1.5k citations
27 papers · 1.3k indexed · h-index 17
Topics
Bacteriophages and microbial interactions (9 papers)Neuropeptides and Animal Physiology (7 papers)Genomics and Phylogenetic Studies (6 papers)
Partner nations
United StatesKenyaIndia

In The Last Decade

Nino Mzhavia

26 papers receiving 1.2k citations

Peers

Nino Mzhavia
Comparison fields: 5 of 94
  • Molecular Biology 674
  • Cellular and Molecular Neuroscience 337
  • Physiology 256
  • Surgery 228
  • Cell Biology 219
Replace Rafael Vázquez-Martı́nez with:
Rafael Vázquez-Martı́nez Spain
Marie‐France Champy France
G. Stefano Brigidi Canada
Marco F.M. Hoekman Netherlands
Chiharu Kimura Japan
Natalia A. Tamarina United States
T. Serikawa Japan
Eirini Meimaridou United Kingdom
Chunyu Jin United States
Bryant P. Bullock United States
Nino Mzhavia relative to Rafael Vázquez-Martı́nez Spain Rafael Vázquez-Martı́nez's profile →
Citations per field
00.5×1.5×1.8×
Rafael Vázquez-Martı́nez · 1×
Citations per year

Countries citing papers authored by Nino Mzhavia

Since Specialization
Citations

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

Fields of papers citing papers by Nino Mzhavia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nino Mzhavia

This figure shows the co-authorship network connecting the top 25 collaborators of Nino Mzhavia. A scholar is included among the top collaborators of Nino Mzhavia 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 Nino Mzhavia. Nino Mzhavia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 1
4 1
5 7
6 5
7 0
8 4
9 195
10 21
11 7
12 51
13
Sequence-specific interaction of nascent antiterminator RNA with the zinc-finger motif of Escherichia coli
3
14 22
15 42
16 54
17 48
18 85
19 75
20 34

About Nino Mzhavia

Nino Mzhavia is a scholar working on Microbiology, Endocrine and Autonomic Systems and Molecular Medicine, having authored 27 papers that have together received 1.3k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (9 papers), Neuropeptides and Animal Physiology (7 papers) and Genomics and Phylogenetic Studies (6 papers). The work is most often cited by research in Endocrine and Autonomic Systems (199 citations), Cellular and Molecular Neuroscience (337 citations) and Cell Biology (219 citations). Nino Mzhavia has collaborated with scholars based in United States, Kenya and India. Frequent co-authors include Lakshmi A. Devi, Lloyd D. Fricker, Yimei Qian, Shuiqing Yu, Yemiliya Berman, Lin Yan, Hayes M. Dansky, Ira J. Goldberg, Ann Polonskaia and И. А. Черешнев. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

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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