Rita H. Najor

26 total papers · 1.1k total citations
13 papers, 788 citations indexed

About

Rita H. Najor is a scholar working on Molecular Biology, Epidemiology and Neurology. According to data from OpenAlex, Rita H. Najor has authored 13 papers receiving a total of 788 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Epidemiology and 2 papers in Neurology. Recurrent topics in Rita H. Najor's work include Autophagy in Disease and Therapy (9 papers), Mitochondrial Function and Pathology (4 papers) and Extracellular vesicles in disease (3 papers). Rita H. Najor is often cited by papers focused on Autophagy in Disease and Therapy (9 papers), Mitochondrial Function and Pathology (4 papers) and Extracellular vesicles in disease (3 papers). Rita H. Najor collaborates with scholars based in United States. Rita H. Najor's co-authors include Åsa B. Gustafsson, Leonardo J. Leon, Mark A. Lampert, Amabel M. Orogo, Babette C. Hammerling, Melissa Q. Cortez, Alexandra G Moyzis, Wenjing Liang, Tae-Yong Kim and Mark A. Sussman and has published in prestigious journals such as Nature Communications, PLoS ONE and The Journal of Physiology.

In The Last Decade

Rita H. Najor

13 papers receiving 781 citations

Hit Papers

Mitochondria are secreted... 2023 2026 2024 2023 40 80 120

Author Peers

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

Author Last Decade Papers Cites
Rita H. Najor 533 431 160 92 80 13 788
Leonardo J. Leon 464 0.9× 333 0.8× 111 0.7× 77 0.8× 67 0.8× 10 698
Haixia Zhuang 531 1.0× 368 0.9× 93 0.6× 114 1.2× 130 1.6× 21 760
Salwa Sebti 409 0.8× 499 1.2× 124 0.8× 118 1.3× 77 1.0× 12 843
Julie Lavie 504 0.9× 250 0.6× 100 0.6× 74 0.8× 67 0.8× 18 784
Ioanna Daskalaki 460 0.9× 281 0.7× 154 1.0× 61 0.7× 113 1.4× 12 720
Shogo Wada 506 0.9× 246 0.6× 211 1.3× 115 1.3× 125 1.6× 18 817
Akinori Eiyama 388 0.7× 344 0.8× 96 0.6× 103 1.1× 35 0.4× 8 645
Haoran Tai 486 0.9× 258 0.6× 254 1.6× 42 0.5× 134 1.7× 15 897
Changying Fu 422 0.8× 329 0.8× 63 0.4× 75 0.8× 68 0.8× 13 621
Thomas Goiran 457 0.9× 347 0.8× 165 1.0× 106 1.2× 67 0.8× 13 728

Countries citing papers authored by Rita H. Najor

Since Specialization
Citations

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

Fields of papers citing papers by Rita H. Najor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rita H. Najor. 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 Rita H. Najor. The network helps show where Rita H. Najor may publish in the future.

Co-authorship network of co-authors of Rita H. Najor

This figure shows the co-authorship network connecting the top 25 collaborators of Rita H. Najor. A scholar is included among the top collaborators of Rita H. Najor 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 Rita H. Najor. Rita H. Najor 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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