Min D. Tang‐Schomer

2.4k citations
35 papers · 1.9k · h-index 20

Impact in

Papers in

Min D. Tang‐Schomer

32 papers receiving 1.8k citations

Peers

Min D. Tang‐Schomer
Comparison fields: 5 of 111
  • Cellular and Molecular Neuroscience 639
  • Biomaterials 391
  • Developmental Neuroscience 114
  • Neurology 390
  • Biomedical Engineering 777
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-authors

The 25 scholars most cited alongside Min D. Tang‐Schomer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Min D. Tang‐Schomer Line = papers co-authored together Min D. Tang‐Schomer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009284
2 2011254
3 2014250
4 2003109
5 2013106
6 201598
7 201986
8 201577
9 201264
10 201358
11 201346
12 200445
13 201041
14 201341
15 201540
16 201837
17 200832
18 201730
19 201429
20 201523

About Min D. Tang‐Schomer

Min D. Tang‐Schomer is a scholar working on Cellular and Molecular Neuroscience, Biomedical Engineering, Biomaterials, Molecular Biology and Surgery, 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), Neuroscience and Neural Engineering (9 papers), Nerve injury and regeneration (7 papers), Cellular Mechanics and Interactions (4 papers), Tissue Engineering and Regenerative Medicine (3 papers), Electrospun Nanofibers in Biomedical Applications (3 papers) and Bone Tissue Engineering Materials (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (639 citations), Biomaterials (391 citations), Developmental Neuroscience (114 citations), Neurology (390 citations) and Biomedical Engineering (777 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, William Stewart, Lee W. Tien and Karolina Chwalek. Their work appears in journals such as ACS Biomaterials Science & Engineering, Advanced Functional Materials, Experimental Neurology, Scientific Reports and Journal of the American Chemical Society.

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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