Ming Nguy Thang

12 total papers · 509 total citations
12 papers, 448 citations indexed

About

Ming Nguy Thang is a scholar working on Molecular Biology, Immunology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ming Nguy Thang has authored 12 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ming Nguy Thang's work include Protein Kinase Regulation and GTPase Signaling (5 papers), RNA regulation and disease (3 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). Ming Nguy Thang is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (5 papers), RNA regulation and disease (3 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). Ming Nguy Thang collaborates with scholars based in France, Switzerland and Italy. Ming Nguy Thang's co-authors include Bruno Tocqué, Marie‐Françoise Bourgeade, Françoise Besançon, Marc Duchesne, Yveline Frobert, Fabienne Parker, Fabien Schweighoffer, François Clerc, Sylvie Mémet and R Kinský and has published in prestigious journals such as Science, Nucleic Acids Research and Molecular and Cellular Biology.

In The Last Decade

Ming Nguy Thang

12 papers receiving 430 citations

Author Peers

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

Author Last Decade Papers Cites
Ming Nguy Thang 223 144 67 61 58 12 448
Amagoia Ametzazurra 194 0.9× 154 1.1× 35 0.5× 58 1.0× 67 1.2× 16 422
C P Chiu 234 1.0× 202 1.4× 31 0.5× 23 0.4× 119 2.1× 8 543
S Cohen 119 0.5× 154 1.1× 26 0.4× 25 0.4× 58 1.0× 14 435
Akio Iwai 320 1.4× 49 0.3× 176 2.6× 51 0.8× 121 2.1× 17 530
C. Von Kap-Herr 198 0.9× 210 1.5× 51 0.8× 19 0.3× 105 1.8× 18 545
Alice P. Taylor 163 0.7× 149 1.0× 133 2.0× 11 0.2× 82 1.4× 13 511
Jane Ramsdale 237 1.1× 59 0.4× 54 0.8× 13 0.2× 183 3.2× 8 436
M Princivalle 202 0.9× 39 0.3× 38 0.6× 223 3.7× 10 0.2× 14 511
Masahiro Tamaru 137 0.6× 152 1.1× 79 1.2× 21 0.3× 114 2.0× 8 419
Richard R. Adler 175 0.8× 87 0.6× 59 0.9× 16 0.3× 47 0.8× 14 429

Countries citing papers authored by Ming Nguy Thang

Since Specialization
Citations

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

Fields of papers citing papers by Ming Nguy Thang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming Nguy Thang. 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 Ming Nguy Thang. The network helps show where Ming Nguy Thang may publish in the future.

Co-authorship network of co-authors of Ming Nguy Thang

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Nguy Thang. A scholar is included among the top collaborators of Ming Nguy Thang 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 Ming Nguy Thang. Ming Nguy Thang 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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