Tina K. Machu

48 total papers · 1.6k total citations
40 papers, 1.3k citations indexed

About

Tina K. Machu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Organic Chemistry. According to data from OpenAlex, Tina K. Machu has authored 40 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 24 papers in Cellular and Molecular Neuroscience and 3 papers in Organic Chemistry. Recurrent topics in Tina K. Machu's work include Nicotinic Acetylcholine Receptors Study (22 papers), Ion channel regulation and function (20 papers) and Neuroscience and Neuropharmacology Research (17 papers). Tina K. Machu is often cited by papers focused on Nicotinic Acetylcholine Receptors Study (22 papers), Ion channel regulation and function (20 papers) and Neuroscience and Neuropharmacology Research (17 papers). Tina K. Machu collaborates with scholars based in United States and United Kingdom. Tina K. Machu's co-authors include R. Adron Harris, Maria Paola Mascia, Jo Ellen Dildy‐Mayfield, Michael Browning, S. John Mihic, Richard W. Olsen, Steven W. Leslie, Jordan A. Firestone, Michael Blanton and David M. Lovinger and has published in prestigious journals such as Biochemistry, Brain Research and The FASEB Journal.

In The Last Decade

Tina K. Machu

40 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Tina K. Machu 900 846 100 78 72 40 1.3k
Zdenek B. Pristupa 905 1.0× 1.3k 1.5× 136 1.4× 107 1.4× 67 0.9× 26 1.8k
Renqi Huang 726 0.8× 635 0.8× 91 0.9× 90 1.2× 125 1.7× 39 1.3k
Richard A. Rabin 615 0.7× 792 0.9× 88 0.9× 98 1.3× 80 1.1× 60 1.5k
Jesús M. Hernández‐Guijo 860 1.0× 796 0.9× 173 1.7× 86 1.1× 119 1.7× 57 1.4k
M Bertolino 785 0.9× 816 1.0× 148 1.5× 85 1.1× 85 1.2× 15 1.2k
Péter Serfózó 642 0.7× 606 0.7× 194 1.9× 139 1.8× 72 1.0× 45 1.4k
Toshifumi Yamamoto 927 1.0× 907 1.1× 192 1.9× 131 1.7× 85 1.2× 58 1.7k
A. Baba 794 0.9× 700 0.8× 184 1.8× 61 0.8× 124 1.7× 49 1.4k
D.A.S. Smith 626 0.7× 855 1.0× 122 1.2× 143 1.8× 47 0.7× 21 1.1k
Dinah Weissmann 473 0.5× 640 0.8× 139 1.4× 87 1.1× 41 0.6× 53 1.1k

Countries citing papers authored by Tina K. Machu

Since Specialization
Citations

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

Fields of papers citing papers by Tina K. Machu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tina K. Machu. 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 Tina K. Machu. The network helps show where Tina K. Machu may publish in the future.

Co-authorship network of co-authors of Tina K. Machu

This figure shows the co-authorship network connecting the top 25 collaborators of Tina K. Machu. A scholar is included among the top collaborators of Tina K. Machu 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 Tina K. Machu. Tina K. Machu 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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