Na Luo

58 total papers · 782 total citations
20 papers, 465 citations indexed

About

Na Luo is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Cell Biology. According to data from OpenAlex, Na Luo has authored 20 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Pathology and Forensic Medicine and 5 papers in Cell Biology. Recurrent topics in Na Luo's work include Genetic and Kidney Cyst Diseases (5 papers), Biomedical Research and Pathophysiology (4 papers) and Cellular transport and secretion (4 papers). Na Luo is often cited by papers focused on Genetic and Kidney Cyst Diseases (5 papers), Biomedical Research and Pathophysiology (4 papers) and Cellular transport and secretion (4 papers). Na Luo collaborates with scholars based in United States, China and Japan. Na Luo's co-authors include Yang Sun, Robert N. Weinreb, Clark D. Wells, Ryan M. Anderson, Hao Yang, Jingping Lu, Jeffrey B. Travers, Hemant Khanna, Lou Sun and Dan F. Spandau and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Molecular and Cellular Biology.

In The Last Decade

Na Luo

17 papers receiving 460 citations

Author Peers

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

Author Last Decade Papers Cites
Na Luo 281 178 139 78 64 20 465
Mariyam Murtaza 315 1.1× 84 0.5× 76 0.5× 41 0.5× 19 0.3× 20 541
Sean M. Crosson 338 1.2× 184 1.0× 43 0.3× 11 0.1× 101 1.6× 20 508
Sheena Chew 147 0.5× 68 0.4× 90 0.6× 47 0.6× 32 0.5× 17 407
Hartmut Engel 382 1.4× 183 1.0× 69 0.5× 34 0.4× 11 0.2× 15 518
Sarah Melissa P Jacobo 242 0.9× 47 0.3× 50 0.4× 17 0.2× 29 0.5× 11 488
Sophie Scheidecker 319 1.1× 278 1.6× 55 0.4× 25 0.3× 7 0.1× 20 420
Stephen P. Bryant 271 1.0× 94 0.5× 276 2.0× 86 1.1× 24 0.4× 18 534
Aisha Al‐Shamsi 266 0.9× 176 1.0× 31 0.2× 33 0.4× 29 0.5× 29 463
Marie‐Josée Demers 280 1.0× 33 0.2× 111 0.8× 32 0.4× 34 0.5× 12 504
Luba Kalaydjieva 267 1.0× 60 0.3× 79 0.6× 52 0.7× 14 0.2× 15 530

Countries citing papers authored by Na Luo

Since Specialization
Citations

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

Fields of papers citing papers by Na Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Na Luo

This figure shows the co-authorship network connecting the top 25 collaborators of Na Luo. A scholar is included among the top collaborators of Na Luo 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 Na Luo. Na Luo 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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