Min D. Tang‐Schomer

2.4k citations
35 papers · 1.9k indexed · h-index 20
Topics
3D Printing in Biomedical Research (12 papers)Silk-based biomaterials and applications (10 papers)Neuroscience and Neural Engineering (9 papers)
Partner nations
United StatesChinaFrance

In The Last Decade

Min D. Tang‐Schomer

32 papers receiving 1.8k citations

Peers

Min D. Tang‐Schomer
Comparison fields: 5 of 111
  • Biomedical Engineering 777
  • Cellular and Molecular Neuroscience 639
  • Molecular Biology 455
  • Biomaterials 391
  • Neurology 390
Replace Lohitash Karumbaiah with:
Lohitash Karumbaiah United States
Tatsuya Osaki Japan
Bernd Sellhaus Germany
Maisam Mitalipova United States
Ryan S. Stowers United States
Ché B. Hutson United States
Alessandra Sacco United States
Adam J. Reid United Kingdom
Michele Fornaro Italy
Zin Z. Khaing United States
Min D. Tang‐Schomer relative to Lohitash Karumbaiah United States Lohitash Karumbaiah's profile →
Citations per field
00.5×3.5×
Lohitash Karumbaiah · 1×
Citations per year

Countries citing papers authored by Min D. Tang‐Schomer

Since Specialization
Citations

This map shows the geographic impact of Min D. Tang‐Schomer'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 Min D. Tang‐Schomer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min D. Tang‐Schomer more than expected).

Fields of papers citing papers by Min D. Tang‐Schomer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min D. Tang‐Schomer. 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 Min D. Tang‐Schomer. The network helps show where Min D. Tang‐Schomer may publish in the future.

Co-authorship network of co-authors of Min D. Tang‐Schomer

This figure shows the co-authorship network connecting the top 25 collaborators of Min D. Tang‐Schomer. A scholar is included among the top collaborators of Min D. Tang‐Schomer 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 Min D. Tang‐Schomer. Min D. Tang‐Schomer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 4
3 0
4 4
5 86
6 15
7 15
8 37
9 30
10 6
11 23
12 40
13 29
14 13
15 46
16 64
17 254
18 41
19 45
20
Evaluation of the tourist resources of the northern Silk Road, Xinjiang.
1

About Min D. Tang‐Schomer

Min D. Tang‐Schomer is a scholar working on Biomaterials, Cellular and Molecular Neuroscience and Developmental Neuroscience, having authored 35 papers that have together received 1.9k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (12 papers), Silk-based biomaterials and applications (10 papers) and Neuroscience and Neural Engineering (9 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (639 citations), Biomaterials (391 citations) and Developmental Neuroscience (114 citations). Min D. Tang‐Schomer has collaborated with scholars based in United States, China and France. Frequent co-authors include Douglas H. Smith, David L. Kaplan, Peter W. Baas, Ankur Patel, Fiorenzo G. Omenetto, Victoria E. Johnson, Joe Tien, Lee W. Tien, William Stewart and Karolina Chwalek. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Advanced Materials.

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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