Gregor Lang

1.2k citations
40 papers · 913 · h-index 16

Impact in

Papers in

    • Electrospun Nanofibers in Biomedical Applications 19
    • Silk-based biomaterials and applications 19
    • 3D Printing in Biomedical Research 18

Gregor Lang

35 papers receiving 904 citations

Peers

Gregor Lang
Comparison fields: 5 of 68
  • Biomaterials 747
  • Surfaces, Coatings and Films 149
  • Microbiology 89
  • Biomedical Engineering 319
  • Automotive Engineering 83
Replace Aldo Leal‐Egaña with:
Aldo Leal‐Egaña Germany
Onur Hasturk United States
Subia Bano India
Nicholas E. Kurland India
Elise DeSimone Germany
Esther Wenk Switzerland
Deboki Naskar India
Lin Römer Germany
Mona Widhe Sweden
Joseph Christakiran Moses India
Gregor Lang relative to Aldo Leal‐Egaña Germany Aldo Leal‐Egaña's profile →
Citations per field
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Aldo Leal‐Egaña · 1×
Citations per year

Countries citing papers authored by Gregor Lang

Since Specialization
Citations

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

Fields of papers citing papers by Gregor Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregor Lang. 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 Gregor Lang. The network helps show where Gregor Lang may publish in the future.

Co-authors

The 25 scholars most cited alongside Gregor Lang, 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 Gregor Lang Line = papers co-authored together Gregor Lang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015230
2 201495
3 201178
4 201553
5 201640
6 202035
7 201334
8 201633
9 201931
10 201830
11 201928
12 202126
13 201021
14 202020
15 202220
16 202315
17 202314
18 202114
19 202014
20 202111

About Gregor Lang

Gregor Lang is a scholar working on Biomaterials, Biomedical Engineering, Automotive Engineering, Surfaces, Coatings and Films and Molecular Biology, having authored 40 papers that have together received 913 indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (19 papers), Silk-based biomaterials and applications (19 papers), 3D Printing in Biomedical Research (18 papers), Additive Manufacturing and 3D Printing Technologies (10 papers), Biochemical and Structural Characterization (6 papers), Surface Modification and Superhydrophobicity (6 papers), Cellular Mechanics and Interactions (5 papers) and Antimicrobial Peptides and Activities (3 papers). The work is most often cited by research in Biomaterials (747 citations), Surfaces, Coatings and Films (149 citations), Microbiology (89 citations), Biomedical Engineering (319 citations) and Automotive Engineering (83 citations). Gregor Lang has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Thomas Scheibel, Martha Geffers, Lukas Eisoldt, Andreas Schmidt, Martin Humeník, Andreas Fery, Lin Römer, Philip H. Zeplin, Martin C. Jordan and Joachim Nickel. Their work appears in journals such as Advanced Healthcare Materials, International Journal of Bioprinting, Advanced Biology, Materials Science and Engineering C and Small Methods.

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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