Tanja Bien

551 total citations
12 papers, 365 citations indexed

About

Tanja Bien is a scholar working on Molecular Biology, Spectroscopy and Genetics. According to data from OpenAlex, Tanja Bien has authored 12 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Spectroscopy and 3 papers in Genetics. Recurrent topics in Tanja Bien's work include Mass Spectrometry Techniques and Applications (5 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Insect and Arachnid Ecology and Behavior (3 papers). Tanja Bien is often cited by papers focused on Mass Spectrometry Techniques and Applications (5 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Insect and Arachnid Ecology and Behavior (3 papers). Tanja Bien collaborates with scholars based in Germany, United States and Japan. Tanja Bien's co-authors include Klaus Dreisewerd, Jens Soltwisch, Detlev Helmig, Joanne Y. Yew, Kenneth J. Rothschild, Elizabeth A. Hambleton, Corinna Henkel, Mark J. Lim, Gargey Yagnik and Manuel Liebeke and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Analytical Chemistry.

In The Last Decade

Tanja Bien

12 papers receiving 353 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tanja Bien Germany 11 208 171 37 34 23 12 365
Sandra E. Spencer Miko United States 11 160 0.8× 121 0.7× 71 1.9× 37 1.1× 8 0.3× 19 386
Blandine Guével France 11 144 0.7× 90 0.5× 38 1.0× 28 0.8× 9 0.4× 17 314
Kin Kuan Hoi United Kingdom 9 480 2.3× 266 1.6× 14 0.4× 30 0.9× 31 1.3× 13 615
Naoko Goto-Inoue Japan 13 345 1.7× 309 1.8× 12 0.3× 11 0.3× 36 1.6× 15 707
Jan Jordens Belgium 12 512 2.5× 343 2.0× 19 0.5× 4 0.1× 36 1.6× 27 801
Andreas Wieghaus Germany 6 470 2.3× 413 2.4× 21 0.6× 9 0.3× 28 1.2× 6 726
Janina Oetjen Germany 15 403 1.9× 397 2.3× 14 0.4× 6 0.2× 58 2.5× 27 668
Benedikt Geier Germany 9 171 0.8× 63 0.4× 17 0.5× 11 0.3× 5 0.2× 16 374
Karola Lehmann Germany 12 323 1.6× 131 0.8× 51 1.4× 7 0.2× 10 0.4× 17 557
Ralph Peteranderl United States 8 288 1.4× 37 0.2× 37 1.0× 13 0.4× 47 2.0× 9 398

Countries citing papers authored by Tanja Bien

Since Specialization
Citations

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

Fields of papers citing papers by Tanja Bien

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tanja Bien

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

All Works

12 of 12 papers shown
1.
Lim, Mark J., et al.. (2023). MALDI HiPLEX-IHC: multiomic and multimodal imaging of targeted intact proteins in tissues. Frontiers in Chemistry. 11. 1182404–1182404. 41 indexed citations
2.
Geier, Benedikt, et al.. (2023). Visualization of metabolites and microbes at high spatial resolution using MALDI mass spectrometry imaging and in situ fluorescence labeling. Nature Protocols. 18(10). 3050–3079. 30 indexed citations
3.
Michellod, Dolma, Tanja Bien, Daniel Birgel, et al.. (2023). De novo phytosterol synthesis in animals. Science. 380(6644). 520–526. 22 indexed citations
4.
Bien, Tanja, et al.. (2022). Mass spectrometry imaging to explore molecular heterogeneity in cell culture. Proceedings of the National Academy of Sciences. 119(29). e2114365119–e2114365119. 62 indexed citations
5.
6.
Bien, Tanja, et al.. (2021). Transmission-Mode MALDI Mass Spectrometry Imaging of Single Cells: Optimizing Sample Preparation Protocols. Analytical Chemistry. 93(10). 4513–4520. 54 indexed citations
7.
Dreisewerd, Klaus, Tanja Bien, & Jens Soltwisch. (2021). MALDI-2 and t-MALDI-2 Mass Spectrometry Imaging. Methods in molecular biology. 2437. 21–40. 20 indexed citations
8.
Bien, Tanja, Markus Perl, Ulrich Nitsche, et al.. (2020). MALDI-2 Mass Spectrometry and Immunohistochemistry Imaging of Gb3Cer, Gb4Cer, and Further Glycosphingolipids in Human Colorectal Cancer Tissue. Analytical Chemistry. 92(10). 7096–7105. 36 indexed citations
9.
Bien, Tanja, Elizabeth A. Hambleton, Klaus Dreisewerd, & Jens Soltwisch. (2020). Molecular insights into symbiosis—mapping sterols in a marine flatworm-algae-system using high spatial resolution MALDI-2-MS imaging with ion mobility separation. Analytical and Bioanalytical Chemistry. 413(10). 2767–2777. 27 indexed citations
10.
Massey, Jonathan H., Tanja Bien, Klaus Dreisewerd, et al.. (2019). Pleiotropic Effects of ebony and tan on Pigmentation and Cuticular Hydrocarbon Composition in Drosophila melanogaster. Frontiers in Physiology. 10. 518–518. 33 indexed citations
11.
12.
Bien, Tanja & Detlev Helmig. (2018). Changes in summertime ozone in Colorado during 2000–2015. Elementa Science of the Anthropocene. 6. 20 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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