Jan Taubenheim

508 total citations
17 papers, 292 citations indexed

About

Jan Taubenheim is a scholar working on Molecular Biology, Paleontology and Ecology. According to data from OpenAlex, Jan Taubenheim has authored 17 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Paleontology and 3 papers in Ecology. Recurrent topics in Jan Taubenheim's work include Marine Invertebrate Physiology and Ecology (6 papers), Gut microbiota and health (5 papers) and Planarian Biology and Electrostimulation (3 papers). Jan Taubenheim is often cited by papers focused on Marine Invertebrate Physiology and Ecology (6 papers), Gut microbiota and health (5 papers) and Planarian Biology and Electrostimulation (3 papers). Jan Taubenheim collaborates with scholars based in Germany, United States and Luxembourg. Jan Taubenheim's co-authors include Thomas C. G. Bosch, Alexander Klimovich, Benedikt M. Mortzfeld, Sebastian Fraune, Stefanie Adam, Kirsten Peters, Achim Salamon, Tomas Fiedler, René Augustin and Philip Rosenstiel and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Scientific Reports.

In The Last Decade

Jan Taubenheim

17 papers receiving 286 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jan Taubenheim Germany	9	127	86	59	33	31	17	292
Christina Lange Germany	9	110 0.9×	58 0.7×	29 0.5×	9 0.3×	77 2.5×	12	426
Jason S. Presnell United States	6	158 1.2×	58 0.7×	30 0.5×	6 0.2×	58 1.9×	11	307
Naoshi Ohta Japan	10	133 1.0×	25 0.3×	17 0.3×	29 0.9×	40 1.3×	16	373
Qingnan Tian China	11	302 2.4×	35 0.4×	11 0.2×	17 0.5×	43 1.4×	30	387
Maria Teresa Locci Italy	8	210 1.7×	28 0.3×	13 0.2×	9 0.3×	25 0.8×	19	335
Vicky Fan New Zealand	9	166 1.3×	11 0.1×	105 1.8×	21 0.6×	19 0.6×	11	436
Brian Bradshaw United States	6	245 1.9×	74 0.9×	38 0.6×	11 0.3×	4 0.1×	8	328
Chagai Rot Israel	7	194 1.5×	23 0.3×	55 0.9×	19 0.6×	21 0.7×	7	425
Louise M. McKenzie Australia	11	140 1.1×	11 0.1×	83 1.4×	37 1.1×	33 1.1×	15	443
Camille Martinand‐Mari France	13	195 1.5×	37 0.4×	35 0.6×	3 0.1×	65 2.1×	28	422

Countries citing papers authored by Jan Taubenheim

Since Specialization

Citations

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

Fields of papers citing papers by Jan Taubenheim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Taubenheim

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

All Works

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17 of 17 papers shown

Schulte-Schrepping, Jonas, Florian Tran, Jan Taubenheim, et al.. (2025). P0092 Advancing precision medicine in IBD: Systematic evaluation of single-cell transcriptomics protocols for intestinal biopsies. Journal of Crohn s and Colitis. 19(Supplement_1). i460–i461. 1 indexed citations

Taubenheim, Jan, Johannes Zimmermann, Florian Tran, et al.. (2025). Metabolic modeling reveals a multi-level deregulation of host-microbiome metabolic networks in IBD. Nature Communications. 16(1). 5120–5120. 8 indexed citations

Krüger, Felix, et al.. (2025). Metabolic modeling of host-microbe interactions. Computational and Structural Biotechnology Journal. 27. 4304–4319. 1 indexed citations

Taubenheim, Jan, et al.. (2024). Hexokinase 2 expression in apical enterocytes correlates with inflammation severity in patients with inflammatory bowel disease. BMC Medicine. 22(1). 490–490. 3 indexed citations

Zimmermann, Johannes, Jan Taubenheim, Lena Best, et al.. (2024). Changes in Bacterial Gut Composition in Parkinson’s Disease and Their Metabolic Contribution to Disease Development: A Gut Community Reconstruction Approach. Microorganisms. 12(2). 325–325. 5 indexed citations

Μαρίνος, Γεώργιος, Reena Debray, Nancy Obeng, et al.. (2024). Metabolic model predictions enable targeted microbiome manipulation through precision prebiotics. Microbiology Spectrum. 12(2). e0114423–e0114423. 12 indexed citations

Welz, Lina, Abdulkhaliq Alsaadi, Jan Taubenheim, et al.. (2024). P224 JAK-STAT-Driven Tryptophan Degradation Fuels Mucosal Inflammation through QPRT Suppression-Induced Quinolinic Acid Overflow. Journal of Crohn s and Colitis. 18(Supplement_1). i554–i554. 1 indexed citations

Zimmermann, Johannes, Jan Taubenheim, Daniela Prasse, et al.. (2023). Sequential host-bacteria and bacteria-bacteria interactions determine the microbiome establishment of Nematostella vectensis. Microbiome. 11(1). 7 indexed citations

Andreani, Nadia Andrea, Marie Vallier, Silke S. Heinzmann, et al.. (2023). Evolution of E. coli in a mouse model of inflammatory bowel disease leads to a disease-specific bacterial genotype and trade-offs with clinical relevance. Gut Microbes. 15(2). 2286675–2286675. 4 indexed citations

10.

Taubenheim, Jan, et al.. (2022). Population Differences and Host Species Predict Variation in the Diversity of Host-Associated Microbes in Hydra. Frontiers in Microbiology. 13. 799333–799333. 10 indexed citations

11.

Taubenheim, Jan, et al.. (2021). Function and Evolution of Nuclear Receptors in Environmental-Dependent Postembryonic Development. Frontiers in Cell and Developmental Biology. 9. 653792–653792. 18 indexed citations

12.

Taubenheim, Jan, et al.. (2020). Bacteria- and temperature-regulated peptides modulate β-catenin signaling in Hydra. Proceedings of the National Academy of Sciences. 117(35). 21459–21468. 23 indexed citations

13.

Mortzfeld, Benedikt M., et al.. (2020). Dynamic interactions within the host-associated microbiota cause tumor formation in the basal metazoan Hydra. PLoS Pathogens. 16(3). e1008375–e1008375. 33 indexed citations

14.

Mortzfeld, Benedikt M., Jan Taubenheim, Alexander Klimovich, et al.. (2019). Temperature and insulin signaling regulate body size in Hydra by the Wnt and TGF-beta pathways. Nature Communications. 10(1). 3257–3257. 26 indexed citations

15.

Mortzfeld, Benedikt M., Jan Taubenheim, Sebastian Fraune, Alexander Klimovich, & Thomas C. G. Bosch. (2018). Stem Cell Transcription Factor FoxO Controls Microbiome Resilience in Hydra. Frontiers in Microbiology. 9. 629–629. 18 indexed citations

16.

Klimovich, Alexander, et al.. (2017). Spontaneous body contractions are modulated by the microbiome of Hydra. Scientific Reports. 7(1). 15937–15937. 60 indexed citations

17.

Fiedler, Tomas, et al.. (2013). Impact of bacteria and bacterial components on osteogenic and adipogenic differentiation of adipose-derived mesenchymal stem cells. Experimental Cell Research. 319(18). 2883–2892. 62 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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