Jan-Hendrik Hehemann

474 total citations
8 papers, 306 citations indexed

About

Jan-Hendrik Hehemann is a scholar working on Molecular Biology, Aquatic Science and Biotechnology. According to data from OpenAlex, Jan-Hendrik Hehemann has authored 8 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Aquatic Science and 3 papers in Biotechnology. Recurrent topics in Jan-Hendrik Hehemann's work include Seaweed-derived Bioactive Compounds (3 papers), Algal biology and biofuel production (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Jan-Hendrik Hehemann is often cited by papers focused on Seaweed-derived Bioactive Compounds (3 papers), Algal biology and biofuel production (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Jan-Hendrik Hehemann collaborates with scholars based in Germany, United States and France. Jan-Hendrik Hehemann's co-authors include Thomas Schweder, Rudolf Amann, Dörte Becher, Hanno Teeling, Stephanie Markert, Lennart Kappelmann, Frank Unfried, Jens Harder, Karen Krüger and Nicole Shapiro and has published in prestigious journals such as Journal of the American Chemical Society, Applied Microbiology and Biotechnology and The ISME Journal.

In The Last Decade

Jan-Hendrik Hehemann

8 papers receiving 305 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jan-Hendrik Hehemann Germany 6 175 138 103 62 55 8 306
Marjolaine Martin France 6 138 0.8× 158 1.1× 116 1.1× 101 1.6× 94 1.7× 9 355
Alexander J. Mann Germany 4 248 1.4× 159 1.2× 121 1.2× 38 0.6× 47 0.9× 4 326
Daniel Bartosik Germany 7 151 0.9× 101 0.7× 78 0.8× 23 0.4× 27 0.5× 13 258
Pi Nyvall Sweden 7 89 0.5× 113 0.8× 132 1.3× 79 1.3× 33 0.6× 9 302
Frank Larimer United States 4 159 0.9× 183 1.3× 34 0.3× 24 0.4× 63 1.1× 6 344
Aurélie Préchoux France 6 49 0.3× 135 1.0× 76 0.7× 141 2.3× 89 1.6× 7 280
P. V. Velansky Russia 10 71 0.4× 111 0.8× 45 0.4× 114 1.8× 29 0.5× 41 306
Tim Staufenberger Germany 5 197 1.1× 104 0.8× 181 1.8× 84 1.4× 141 2.6× 5 417
Pei-Luen Jiang Taiwan 14 181 1.0× 222 1.6× 139 1.3× 10 0.2× 40 0.7× 22 477
Daniel A. Coury Japan 14 115 0.7× 192 1.4× 213 2.1× 110 1.8× 23 0.4× 22 486

Countries citing papers authored by Jan-Hendrik Hehemann

Since Specialization
Citations

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

Fields of papers citing papers by Jan-Hendrik Hehemann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan-Hendrik Hehemann. 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 Jan-Hendrik Hehemann. The network helps show where Jan-Hendrik Hehemann may publish in the future.

Co-authorship network of co-authors of Jan-Hendrik Hehemann

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

All Works

8 of 8 papers shown
1.
Crawford, C., et al.. (2025). De Novo Glycan Annotation of Mass Spectrometry Data. Journal of the American Society for Mass Spectrometry. 36(8). 1686–1695. 1 indexed citations
2.
Crawford, C., Greta Reintjes, Manuel G. Ricardo, et al.. (2025). Activity-Based Tracking of Glycan Turnover in Microbiomes. Journal of the American Chemical Society. 147(29). 25799–25805. 1 indexed citations
3.
Crawford, C., et al.. (2024). Automated Synthesis of Algal Fucoidan Oligosaccharides. Journal of the American Chemical Society. 146(27). 18320–18330. 14 indexed citations
4.
Ammar, Ehab M., et al.. (2019). Characterization of the GH16 and GH17 laminarinases from Vibrio breoganii 1C10. Applied Microbiology and Biotechnology. 104(1). 161–171. 21 indexed citations
5.
Becker, Stefan & Jan-Hendrik Hehemann. (2018). Laminarin Quantification in Microalgae with Enzymes from Marine Microbes. BIO-PROTOCOL. 8(8). e2666–e2666. 11 indexed citations
6.
Reisky, Lukas, Christian Stanetty, Marko D. Mihovilovič, et al.. (2018). Biochemical characterization of an ulvan lyase from the marine flavobacterium Formosa agariphila KMM 3901T. Applied Microbiology and Biotechnology. 102(16). 6987–6996. 41 indexed citations
7.
Unfried, Frank, Stefan Becker, Craig S. Robb, et al.. (2018). Adaptive mechanisms that provide competitive advantages to marine bacteroidetes during microalgal blooms. The ISME Journal. 12(12). 2894–2906. 87 indexed citations
8.
Kappelmann, Lennart, Karen Krüger, Jan-Hendrik Hehemann, et al.. (2018). Polysaccharide utilization loci of North Sea Flavobacteriia as basis for using SusC/D-protein expression for predicting major phytoplankton glycans. The ISME Journal. 13(1). 76–91. 130 indexed citations

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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