Nina Moor

79 total papers · 1.3k total citations
58 papers, 1.1k citations indexed

About

Nina Moor is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Nina Moor has authored 58 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 14 papers in Oncology and 13 papers in Genetics. Recurrent topics in Nina Moor's work include RNA and protein synthesis mechanisms (39 papers), RNA modifications and cancer (25 papers) and DNA Repair Mechanisms (17 papers). Nina Moor is often cited by papers focused on RNA and protein synthesis mechanisms (39 papers), RNA modifications and cancer (25 papers) and DNA Repair Mechanisms (17 papers). Nina Moor collaborates with scholars based in Russia, Israel and France. Nina Moor's co-authors include Olga I. Lavrik, Mark Safro, И. А. Васильева, Liron Klipcan, Naama Kessler, V.N. Ankilova, Dmitry Tworowski, Maria V. Sukhanova, Rashid O. Anarbaev and Olga Kotik-Kogan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and PLoS ONE.

In The Last Decade

Nina Moor

56 papers receiving 1.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Nina Moor 979 189 152 43 41 58 1.1k
Gareth J. Morgan 811 0.8× 148 0.8× 175 1.2× 12 0.3× 68 1.7× 42 1.1k
Lih-Ren Chen 899 0.9× 74 0.4× 186 1.2× 27 0.6× 62 1.5× 54 1.4k
Haim Barr 649 0.7× 133 0.7× 99 0.7× 26 0.6× 62 1.5× 35 931
R. Brückner 590 0.6× 188 1.0× 235 1.5× 27 0.6× 42 1.0× 59 1.2k
Takuzo Oda 639 0.7× 109 0.6× 88 0.6× 20 0.5× 28 0.7× 103 973
Keiichi Hosokawa 1.0k 1.1× 71 0.4× 320 2.1× 25 0.6× 76 1.9× 50 1.4k
Jean A. H. Cognet 833 0.9× 150 0.8× 52 0.3× 23 0.5× 51 1.2× 33 921
Wei Mi 891 0.9× 144 0.8× 115 0.8× 19 0.4× 62 1.5× 54 1.3k
D.G. Knorre 956 1.0× 79 0.4× 74 0.5× 16 0.4× 98 2.4× 77 1.1k
Murray Fraser 1.1k 1.1× 124 0.7× 152 1.0× 30 0.7× 33 0.8× 86 1.4k

Countries citing papers authored by Nina Moor

Since Specialization
Citations

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

Fields of papers citing papers by Nina Moor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Moor

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

All Works

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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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