Christopher M. Walthers

58 total papers · 738 total citations
17 papers, 476 citations indexed

About

Christopher M. Walthers is a scholar working on Biomaterials, Surgery and Biomedical Engineering. According to data from OpenAlex, Christopher M. Walthers has authored 17 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biomaterials, 6 papers in Surgery and 5 papers in Biomedical Engineering. Recurrent topics in Christopher M. Walthers's work include Electrospun Nanofibers in Biomedical Applications (6 papers), Tissue Engineering and Regenerative Medicine (4 papers) and Nerve injury and regeneration (3 papers). Christopher M. Walthers is often cited by papers focused on Electrospun Nanofibers in Biomedical Applications (6 papers), Tissue Engineering and Regenerative Medicine (4 papers) and Nerve injury and regeneration (3 papers). Christopher M. Walthers collaborates with scholars based in United States. Christopher M. Walthers's co-authors include Stephanie K. Seidlits, Benjamin M. Wu, Alireza Sohrabi, Jesse Liang, James Dunn, Alireza K. Nazemi, Nan Lei, Weikun Xiao, Arshia Ehsanipour and Dino Di Carlo and has published in prestigious journals such as Journal of Clinical Oncology, Blood and PLoS ONE.

In The Last Decade

Christopher M. Walthers

17 papers receiving 474 citations

Author Peers

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

Author Last Decade Papers Cites
Christopher M. Walthers 233 150 143 84 82 17 476
Hyun Ju Lim 139 0.6× 112 0.7× 146 1.0× 93 1.1× 63 0.8× 29 534
Wai Hon Chooi 161 0.7× 135 0.9× 131 0.9× 176 2.1× 80 1.0× 24 506
Arman Ai 185 0.8× 208 1.4× 91 0.6× 101 1.2× 87 1.1× 23 552
Jiajia Shi 132 0.6× 151 1.0× 158 1.1× 100 1.2× 99 1.2× 23 509
Arshia Ehsanipour 188 0.8× 87 0.6× 60 0.4× 115 1.4× 118 1.4× 11 464
Ariel A. Szklanny 285 1.2× 146 1.0× 153 1.1× 72 0.9× 62 0.8× 12 414
Jared Bushman 154 0.7× 215 1.4× 133 0.9× 121 1.4× 222 2.7× 28 551
Gaurangkumar Patel 144 0.6× 122 0.8× 131 0.9× 74 0.9× 210 2.6× 16 465
Jipeng Jiang 160 0.7× 95 0.6× 106 0.7× 176 2.1× 68 0.8× 27 485
Myungkyung Noh 263 1.1× 138 0.9× 104 0.7× 163 1.9× 49 0.6× 14 534

Countries citing papers authored by Christopher M. Walthers

Since Specialization
Citations

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

Fields of papers citing papers by Christopher M. Walthers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher M. Walthers. 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 Christopher M. Walthers. The network helps show where Christopher M. Walthers may publish in the future.

Co-authorship network of co-authors of Christopher M. Walthers

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher M. Walthers. A scholar is included among the top collaborators of Christopher M. Walthers 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 Christopher M. Walthers. Christopher M. Walthers 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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