China N. Byrns

16 total papers · 834 total citations
11 papers, 513 citations indexed

About

China N. Byrns is a scholar working on Molecular Biology, Neurology and Physiology. According to data from OpenAlex, China N. Byrns has authored 11 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Neurology and 3 papers in Physiology. Recurrent topics in China N. Byrns's work include Trace Elements in Health (3 papers), Selenium in Biological Systems (3 papers) and Traumatic Brain Injury and Neurovascular Disturbances (2 papers). China N. Byrns is often cited by papers focused on Trace Elements in Health (3 papers), Selenium in Biological Systems (3 papers) and Traumatic Brain Injury and Neurovascular Disturbances (2 papers). China N. Byrns collaborates with scholars based in United States, Germany and United Kingdom. China N. Byrns's co-authors include Matthew W. Pitts, Marla J. Berry, Nancy M. Bonini, Beth Martin, Megan L. Clark, Robert J. Norgard, Aaron McKenna, Jay Shendure, Kamen P. Simeonov and Christopher J. Lengner and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

China N. Byrns

11 papers receiving 509 citations

Hit Papers

Single-cell lineage traci... 2021 2026 2022 2024 2021 2024 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
China N. Byrns 210 122 109 100 52 11 513
Akio Takehara 250 1.2× 75 0.6× 154 1.4× 75 0.8× 32 0.6× 9 492
Danilo Zangani 153 0.7× 122 1.0× 105 1.0× 59 0.6× 63 1.2× 13 465
Mika Kawamura 313 1.5× 70 0.6× 133 1.2× 130 1.3× 29 0.6× 10 542
Christine Gabrielides 290 1.4× 83 0.7× 31 0.3× 59 0.6× 38 0.7× 9 568
Zhongying Mo 359 1.7× 89 0.7× 47 0.4× 41 0.4× 33 0.6× 13 524
Malene Ambjørn 143 0.7× 59 0.5× 97 0.9× 32 0.3× 29 0.6× 10 486
Laura L. Wootton 386 1.8× 37 0.3× 62 0.6× 69 0.7× 36 0.7× 10 597
Mira Peled-Kamar 257 1.2× 50 0.4× 52 0.5× 42 0.4× 20 0.4× 7 530
Gina M. Nelson 179 0.9× 126 1.0× 87 0.8× 72 0.7× 10 0.2× 11 495
Dustin Thomas 238 1.1× 190 1.6× 117 1.1× 42 0.4× 104 2.0× 15 604

Countries citing papers authored by China N. Byrns

Since Specialization
Citations

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

Fields of papers citing papers by China N. Byrns

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by China N. Byrns. 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 China N. Byrns. The network helps show where China N. Byrns may publish in the future.

Co-authorship network of co-authors of China N. Byrns

This figure shows the co-authorship network connecting the top 25 collaborators of China N. Byrns. A scholar is included among the top collaborators of China N. Byrns 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 China N. Byrns. China N. Byrns 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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2026