Gregor Lang

1.2k citations
41 papers · 1.0k · h-index 17

Impact in

Papers in

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

Gregor Lang

39 papers receiving 1.0k citations

Peers

Gregor Lang
Comparison fields: 5 of 67
  • Biomaterials 817
  • Surfaces, Coatings and Films 161
  • Microbiology 98
  • Biomedical Engineering 328
  • Automotive Engineering 86
Replace Aldo Leal‐Egaña with:
Aldo Leal‐Egaña Germany
Martin Humeník Germany
Subia Bano India
Onur Hasturk United States
Lin Römer Germany
Nicholas E. Kurland United States
Elise DeSimone Germany
Esther Wenk Switzerland
Brian D. Lawrence United States
Deboki Naskar India
Gregor Lang relative to Aldo Leal‐Egaña Germany Aldo Leal‐Egaña's profile →
Citations per field
00.5×1.5×2.2×
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 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015245
2 2014107
3 201183
4 201553
5 201642
6 201340
7 202040
8 201635
9 201934
10 201933
11 201833
12 202129
13 201024
14 202223
15 202022
16 202316
17 202116
18 202315
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 41 papers that have together received 1.0k 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 (817 citations), Surfaces, Coatings and Films (161 citations), Microbiology (98 citations), Biomedical Engineering (328 citations) and Automotive Engineering (86 citations). Gregor Lang has collaborated with scholars based in Germany, United States and Japan. Frequent co-authors include Thomas Scheibel, Lukas Eisoldt, Andreas Schmidt, Martha Geffers, Martin Humeník, Andreas Fery, Joachim Nickel, Elise DeSimone, Martin C. Jordan and Lin Römer. Their work appears in journals such as Advanced Healthcare Materials, International Journal of Bioprinting, Advanced Biology, Small Methods and Materials Science and Engineering C.

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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