James G. Shamul

20 total papers · 490 total citations
18 papers, 372 citations indexed

About

James G. Shamul is a scholar working on Biomedical Engineering, Molecular Biology and Surgery. According to data from OpenAlex, James G. Shamul has authored 18 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Biomedical Engineering, 7 papers in Molecular Biology and 6 papers in Surgery. Recurrent topics in James G. Shamul's work include 3D Printing in Biomedical Research (10 papers), Pluripotent Stem Cells Research (5 papers) and Tissue Engineering and Regenerative Medicine (4 papers). James G. Shamul is often cited by papers focused on 3D Printing in Biomedical Research (10 papers), Pluripotent Stem Cells Research (5 papers) and Tissue Engineering and Regenerative Medicine (4 papers). James G. Shamul collaborates with scholars based in United States and China. James G. Shamul's co-authors include Xiaoming He, Jiangsheng Xu, Elyahb Allie Kwizera, Bin Jiang, Samantha Stewart, Alfredo Quiñones‐Hinojosa, Jordan J. Green, Sagar Shah, Katherine Tkaczuk and Wenquan Ou and has published in prestigious journals such as Nature Communications, ACS Nano and Biomaterials.

In The Last Decade

James G. Shamul

18 papers receiving 370 citations

Author Peers

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

Author Last Decade Papers Cites
James G. Shamul 213 141 105 54 47 18 372
Jiamin Guo 169 0.8× 108 0.8× 115 1.1× 70 1.3× 46 1.0× 15 398
Hangxiang Sun 234 1.1× 105 0.7× 54 0.5× 65 1.2× 34 0.7× 19 401
Federica De Lorenzi 251 1.2× 119 0.8× 108 1.0× 57 1.1× 31 0.7× 17 402
Thanapat Pongkulapa 195 0.9× 209 1.5× 66 0.6× 47 0.9× 42 0.9× 14 443
Chenyu Zhang 245 1.2× 96 0.7× 63 0.6× 33 0.6× 32 0.7× 11 384
Carmen Schalla 206 1.0× 93 0.7× 116 1.1× 91 1.7× 67 1.4× 14 446
Yang Guo 128 0.6× 177 1.3× 171 1.6× 39 0.7× 33 0.7× 21 414
Zachary Berman 140 0.7× 109 0.8× 109 1.0× 28 0.5× 30 0.6× 27 392
Jun Hu 157 0.7× 126 0.9× 43 0.4× 73 1.4× 30 0.6× 25 424
Teruki Nii 201 0.9× 91 0.6× 114 1.1× 56 1.0× 122 2.6× 27 434

Countries citing papers authored by James G. Shamul

Since Specialization
Citations

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

Fields of papers citing papers by James G. Shamul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James G. Shamul. 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 James G. Shamul. The network helps show where James G. Shamul may publish in the future.

Co-authorship network of co-authors of James G. Shamul

This figure shows the co-authorship network connecting the top 25 collaborators of James G. Shamul. A scholar is included among the top collaborators of James G. Shamul 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 James G. Shamul. James G. Shamul 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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