Gregor Lang

51 total papers · 1.1k total citations
40 papers, 913 citations indexed

About

Gregor Lang is a scholar working on Biomaterials, Biomedical Engineering and Automotive Engineering. According to data from OpenAlex, Gregor Lang has authored 40 papers receiving a total of 913 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Biomaterials, 19 papers in Biomedical Engineering and 10 papers in Automotive Engineering. Recurrent topics in Gregor Lang's work include Silk-based biomaterials and applications (19 papers), Electrospun Nanofibers in Biomedical Applications (19 papers) and 3D Printing in Biomedical Research (16 papers). Gregor Lang is often cited by papers focused on Silk-based biomaterials and applications (19 papers), Electrospun Nanofibers in Biomedical Applications (19 papers) and 3D Printing in Biomedical Research (16 papers). Gregor Lang collaborates with scholars based in Germany, United States and Sweden. Gregor Lang's co-authors include Thomas Scheibel, Andreas Schmidt, Lukas Eisoldt, Martha Geffers, Martin Humeník, Andreas Fery, Joachim Nickel, Philip H. Zeplin, Lin Römer and Martin C. Jordan and has published in prestigious journals such as Advanced Materials, Angewandte Chemie International Edition and SHILAP Revista de lepidopterología.

In The Last Decade

Gregor Lang

35 papers receiving 904 citations

Author Peers

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

Author						Papers	Cites
Gregor Lang	747	301	285	148	89	40	913
Onur Hasturk	605 0.8×	387 1.3×	189 0.7×	94 0.6×	58 0.7×	27	918
Aldo Leal‐Egaña	680 0.9×	537 1.8×	312 1.1×	113 0.8×	73 0.8×	31	1.2k
Yeshun Zhang	712 1.0×	334 1.1×	226 0.8×	90 0.6×	125 1.4×	39	1.0k
Martin Humeník	533 0.7×	248 0.8×	470 1.6×	97 0.7×	68 0.8×	46	842
Jinhuan Tian	562 0.8×	476 1.6×	150 0.5×	122 0.8×	60 0.7×	45	1.2k
Subia Bano	818 1.1×	424 1.4×	290 1.0×	111 0.8×	73 0.8×	15	1.1k
Mona Widhe	784 1.0×	198 0.7×	429 1.5×	104 0.7×	158 1.8×	18	988
Sunita Nayak	644 0.9×	342 1.1×	174 0.6×	62 0.4×	73 0.8×	34	988
Nina Dinjaski	831 1.1×	287 1.0×	443 1.6×	49 0.3×	39 0.4×	27	1.0k
Lin Römer	853 1.1×	187 0.6×	479 1.7×	139 0.9×	104 1.2×	15	1.1k

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-authorship network of co-authors of Gregor Lang

This figure shows the co-authorship network connecting the top 25 collaborators of Gregor Lang. A scholar is included among the top collaborators of Gregor Lang 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 Gregor Lang. Gregor Lang 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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