Stefan Schulz

14.8k total citations · 2 hit papers
360 papers, 11.1k citations indexed

About

Stefan Schulz is a scholar working on Molecular Biology, Ecology, Evolution, Behavior and Systematics and Insect Science. According to data from OpenAlex, Stefan Schulz has authored 360 papers receiving a total of 11.1k indexed citations (citations by other indexed papers that have themselves been cited), including 111 papers in Molecular Biology, 109 papers in Ecology, Evolution, Behavior and Systematics and 98 papers in Insect Science. Recurrent topics in Stefan Schulz's work include Plant and animal studies (73 papers), Insect and Arachnid Ecology and Behavior (53 papers) and Insect and Pesticide Research (51 papers). Stefan Schulz is often cited by papers focused on Plant and animal studies (73 papers), Insect and Arachnid Ecology and Behavior (53 papers) and Insect and Pesticide Research (51 papers). Stefan Schulz collaborates with scholars based in Germany, United States and United Kingdom. Stefan Schulz's co-authors include Jeroen S. Dickschat, Irene Wagner‐Döbler, Laure Weisskopf, Verena Thiel, Paolina Garbeva, Rolf Müller, Monika Hilker, Ulrike Groenhagen, Manfred Ayasse and Miguel Vences and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Stefan Schulz

350 papers receiving 10.9k citations

Hit Papers

Bacterial volatiles: the smell of small organisms 2007 2026 2013 2019 2007 2021 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefan Schulz Germany 56 3.6k 3.1k 2.3k 2.1k 2.1k 360 11.1k
Aleš Svatoš Germany 52 4.4k 1.2× 1.6k 0.5× 2.7k 1.2× 1.1k 0.5× 4.3k 2.0× 258 10.4k
John G. Oakeshott Australia 57 4.9k 1.3× 1.3k 0.4× 3.8k 1.7× 2.2k 1.0× 3.0k 1.4× 250 11.2k
Cameron R. Currie United States 64 2.6k 0.7× 4.1k 1.3× 5.7k 2.6× 4.9k 2.3× 1.8k 0.8× 187 11.8k
Iain M. Wallace Canada 16 13.6k 3.7× 1.8k 0.6× 1.7k 0.7× 3.5k 1.6× 6.5k 3.0× 23 25.4k
Toni Gabaldón Spain 66 12.3k 3.4× 2.0k 0.7× 1.3k 0.6× 2.7k 1.3× 6.4k 3.0× 275 21.9k
Gordon Blackshields Ireland 15 13.1k 3.6× 1.8k 0.6× 1.7k 0.7× 3.4k 1.6× 6.3k 3.0× 26 24.6k
Toshiaki Kudo Japan 59 4.5k 1.2× 2.4k 0.8× 2.4k 1.1× 3.5k 1.6× 2.2k 1.0× 282 10.3k
Norberto Peporine Lopes Brazil 48 4.5k 1.2× 826 0.3× 1.1k 0.5× 574 0.3× 3.3k 1.6× 469 12.3k
Subha Kalyaanamoorthy Canada 17 4.9k 1.3× 2.8k 0.9× 1.0k 0.5× 2.3k 1.0× 2.5k 1.2× 40 11.4k
Andrew Waterhouse Switzerland 14 13.9k 3.8× 498 0.2× 833 0.4× 2.4k 1.1× 3.3k 1.6× 16 22.1k

Countries citing papers authored by Stefan Schulz

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Schulz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Schulz

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

All Works

20 of 20 papers shown
1.
Yang, Keqian, Houchao Xu, Miguel Vences, et al.. (2025). Frog farnesyl pyrophosphate synthases and their role as non-canonical terpene synthases for bisabolane sesquiterpenes. Organic & Biomolecular Chemistry. 23(35). 7940–7945.
2.
Schulz, Stefan, et al.. (2025). Curvisetone─A Male-Specific Tricyclic nor-Diterpenoid from the Springtail Sinella curviseta. Journal of Natural Products. 88(3). 857–861.
3.
Steffen, Anika, et al.. (2024). Activity‐Based Protein Profiling Identifies Protein Disulfide‐Isomerases as Target Proteins of the Volatile Salinilactones. Advanced Science. 11(18). e2309515–e2309515. 3 indexed citations
4.
Schulz, Stefan, et al.. (2024). Chemical species recognition in an adaptive radiation of Hawaiian Tetragnatha spiders (Araneae: Tetragnathidae). Proceedings of the Royal Society B Biological Sciences. 291(2020). 20232340–20232340. 4 indexed citations
7.
Schulz, Stefan, et al.. (2022). The scent chemistry of butterflies. Natural Product Reports. 40(4). 794–818. 8 indexed citations
8.
Darragh, Kathy, et al.. (2022). Head and Tail Oxidized Terpenoid Esters from Androconia of Heliconius erato Butterflies. Journal of Natural Products. 85(5). 1428–1435. 1 indexed citations
9.
Neumann‐Schaal, Meina, et al.. (2022). Thiol Metabolism and Volatile Metabolome of Clostridioides difficile. Frontiers in Microbiology. 13. 864587–864587. 11 indexed citations
10.
Ben‐Ari, Julius, et al.. (2021). Bacterial-induced pH shifts link individual cell physiology to macroscale collective behavior. Proceedings of the National Academy of Sciences. 118(14). 11 indexed citations
12.
Byers, Kelsey J.R.P., Kathy Darragh, Ian A. Warren, et al.. (2020). Clustering of loci controlling species differences in male chemical bouquets of sympatric Heliconius butterflies. Ecology and Evolution. 11(1). 89–107. 13 indexed citations
13.
Creamer, Kaitlin E., et al.. (2020). Extending the Salinilactone Family. ChemBioChem. 21(11). 1629–1632. 9 indexed citations
14.
Darragh, Kathy, Mauricio Linares, Stefan Schulz, et al.. (2020). Chemical signals act as the main reproductive barrier between sister and mimetic Heliconius butterflies. Proceedings of the Royal Society B Biological Sciences. 287(1926). 20200587–20200587. 29 indexed citations
15.
Tsitoura, Panagiota, Dimitrios Papachristos, Αntonios Michaelakis, et al.. (2020). Volatile allosteric antagonists of mosquito odorant receptors inhibit human-host attraction. Journal of Biological Chemistry. 296. 100172–100172. 10 indexed citations
16.
Rüther, Joachim, et al.. (2020). Enantioselective synthesis and determination of the absolute configuration of the male sex pheromone of the parasitoid wasp Urolepis rufipes. Organic & Biomolecular Chemistry. 18(18). 3463–3465. 6 indexed citations
17.
Lüddecke, Tim, et al.. (2019). Isolation and Identification of Alkaloids from Poisons of Fire Salamanders (Salamandra salamandra). Journal of Natural Products. 82(5). 1319–1324. 13 indexed citations
18.
Crüsemann, Max, Mohammad Alanjary, James O. McInerney, et al.. (2017). Function-related replacement of bacterial siderophore pathways. The ISME Journal. 12(2). 320–329. 57 indexed citations
19.
Rodríguez, Ariel, Dennis Poth, Stefan Schulz, Marcelo Gehara, & Miguel Vences. (2013). Genetic diversity, phylogeny and evolution of alkaloid sequestering in Cuban miniaturized frogs of the Eleutherodactylus limbatus group. Molecular Phylogenetics and Evolution. 68(3). 541–554. 7 indexed citations
20.
Vereecken, Nicolas J., et al.. (2012). Pre-adaptations and the evolution of pollination by sexual deception: Cope's rule of specialization revisited. Proceedings of the Royal Society B Biological Sciences. 279(1748). 4786–4794. 79 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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