In Hong Yang

80 total papers · 2.2k total citations
56 papers, 1.7k citations indexed

About

In Hong Yang is a scholar working on Cellular and Molecular Neuroscience, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, In Hong Yang has authored 56 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cellular and Molecular Neuroscience, 15 papers in Biomedical Engineering and 11 papers in Molecular Biology. Recurrent topics in In Hong Yang's work include Neuroscience and Neural Engineering (17 papers), Nerve injury and regeneration (12 papers) and 3D Printing in Biomedical Research (10 papers). In Hong Yang is often cited by papers focused on Neuroscience and Neural Engineering (17 papers), Nerve injury and regeneration (12 papers) and 3D Printing in Biomedical Research (10 papers). In Hong Yang collaborates with scholars based in United States, Singapore and China. In Hong Yang's co-authors include Nitish V. Thakor, Ronald S. Goldstein, Suneil Hosmane, Seeram Ramakrishna, Baiwen Luo, Rezina Siddique, Lingling Tian, Agata Blasiak, Carlos C. Co and Paul R. Kinchington and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

In Hong Yang

54 papers receiving 1.7k citations

Author Peers

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

Author Last Decade Papers Cites
In Hong Yang 669 564 420 183 175 56 1.7k
Min D. Tang‐Schomer 637 1.0× 773 1.4× 452 1.1× 113 0.6× 276 1.6× 35 1.8k
Lohitash Karumbaiah 802 1.2× 489 0.9× 489 1.2× 91 0.5× 46 0.3× 44 1.9k
Jeong Won Park 485 0.7× 697 1.2× 832 2.0× 77 0.4× 82 0.5× 61 2.2k
Sarah E. Stabenfeldt 266 0.4× 417 0.7× 351 0.8× 181 1.0× 85 0.5× 50 1.5k
Xiaofen Zhong 563 0.8× 256 0.5× 1.3k 3.2× 199 1.1× 69 0.4× 48 2.3k
Laurent Plawinski 191 0.3× 414 0.7× 781 1.9× 111 0.6× 95 0.5× 35 1.8k
David Barba 437 0.7× 317 0.6× 402 1.0× 118 0.6× 50 0.3× 93 2.3k
John R. Bringas 446 0.7× 286 0.5× 717 1.7× 94 0.5× 236 1.3× 29 1.9k
Edward A. Fitzgerald 373 0.6× 943 1.7× 436 1.0× 57 0.3× 115 0.7× 42 1.7k
Teresa Southard 261 0.4× 176 0.3× 540 1.3× 93 0.5× 130 0.7× 71 1.7k

Countries citing papers authored by In Hong Yang

Since Specialization
Citations

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

Fields of papers citing papers by In Hong Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by In Hong Yang. 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 In Hong Yang. The network helps show where In Hong Yang may publish in the future.

Co-authorship network of co-authors of In Hong Yang

This figure shows the co-authorship network connecting the top 25 collaborators of In Hong Yang. A scholar is included among the top collaborators of In Hong Yang 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 In Hong Yang. In Hong Yang 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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