Wittko Francke

17.0k total citations
393 papers, 13.0k citations indexed

About

Wittko Francke is a scholar working on Insect Science, Ecology, Evolution, Behavior and Systematics and Genetics. According to data from OpenAlex, Wittko Francke has authored 393 papers receiving a total of 13.0k indexed citations (citations by other indexed papers that have themselves been cited), including 247 papers in Insect Science, 173 papers in Ecology, Evolution, Behavior and Systematics and 108 papers in Genetics. Recurrent topics in Wittko Francke's work include Insect and Pesticide Research (175 papers), Plant and animal studies (150 papers) and Insect and Arachnid Ecology and Behavior (106 papers). Wittko Francke is often cited by papers focused on Insect and Pesticide Research (175 papers), Plant and animal studies (150 papers) and Insect and Arachnid Ecology and Behavior (106 papers). Wittko Francke collaborates with scholars based in Germany, Sweden and United States. Wittko Francke's co-authors include Manfred Ayasse, Florian P. Schiestl, Fernando Ibarra, Stephan Franke, Peter Fortnagel, Christer Löfstedt, Rolf‐Michael Wittich, Heinz Wilkes, Hannes F. Paulus and Volker Sinnwell and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Wittko Francke

390 papers receiving 12.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wittko Francke Germany 58 6.0k 5.9k 3.6k 3.1k 2.2k 393 13.0k
May R. Berenbaum United States 71 7.0k 1.2× 10.8k 1.8× 3.3k 0.9× 7.6k 2.5× 5.8k 2.6× 329 18.7k
John G. Oakeshott Australia 57 1.3k 0.2× 3.8k 0.7× 2.2k 0.6× 3.0k 1.0× 4.9k 2.2× 250 11.2k
Aleš Svatoš Germany 52 1.6k 0.3× 2.7k 0.5× 1.1k 0.3× 4.3k 1.4× 4.4k 2.0× 258 10.4k
Wilhelm Boland Germany 52 3.1k 0.5× 4.4k 0.8× 777 0.2× 6.2k 2.0× 4.5k 2.0× 285 13.0k
Jonathan Gershenzon Germany 107 8.3k 1.4× 11.3k 1.9× 1.5k 0.4× 22.2k 7.3× 23.7k 10.7× 481 41.9k
James H. Tumlinson United States 72 7.6k 1.3× 14.9k 2.5× 2.5k 0.7× 10.0k 3.3× 3.4k 1.5× 248 19.9k
Caroline Müller Germany 43 2.3k 0.4× 2.3k 0.4× 583 0.2× 4.4k 1.4× 2.5k 1.1× 233 7.8k
Robert L. Metcalf United States 43 780 0.1× 2.8k 0.5× 455 0.1× 2.5k 0.8× 1.3k 0.6× 279 6.5k
Maarten A. Posthumus Netherlands 48 2.6k 0.4× 4.6k 0.8× 264 0.1× 4.1k 1.3× 1.8k 0.8× 112 8.4k
Jerrold Meinwald United States 51 3.0k 0.5× 3.2k 0.5× 1.9k 0.5× 1.8k 0.6× 2.5k 1.1× 398 10.7k

Countries citing papers authored by Wittko Francke

Since Specialization
Citations

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

Fields of papers citing papers by Wittko Francke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wittko Francke

This figure shows the co-authorship network connecting the top 25 collaborators of Wittko Francke. A scholar is included among the top collaborators of Wittko Francke 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 Wittko Francke. Wittko Francke 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.
Molnár, Béla Péter, Tibor Soós, Stefan Schulz, et al.. (2024). (−)‐myrtenol and (−)‐α‐pinene: Aggregation pheromone components of the cypress bark beetle Phloeosinus aubei. Journal of Applied Entomology. 148(4). 351–363. 1 indexed citations
2.
Szőcs, Gábor, et al.. (2014). Observations on the overwintering of the bark beetle, Phloeosinus aubei, its spread in Hungary, and on the role of thuja volatiles.. 50(5). 209–213. 2 indexed citations
3.
Löfstedt, Christer, et al.. (2008). Identification of a Sex Pheromone Produced by Sternal Glands in Females of the Caddisfly Molanna angustata Curtis. Journal of Chemical Ecology. 34(2). 220–8. 17 indexed citations
4.
Stökl, Johannes, Robert Twele, Wittko Francke, et al.. (2008). The role of pollinator attracting scent in the sexually deceptive orchids Ophrys chestermanii, O. normanii and O. tenthredinifera. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 2 indexed citations
5.
Schorkopf, Dirk Louis P., Stefan Jarau, Wittko Francke, et al.. (2007). Spitting out information: Trigona bees deposit saliva to signal resource locations. Proceedings of the Royal Society B Biological Sciences. 274(1611). 895–899. 44 indexed citations
6.
Mant, Jim, et al.. (2005). Cuticular Hydrocarbons as Sex Pheromone of the Bee Colletes cunicularius and the Key to its Mimicry by the Sexually Deceptive Orchid, Ophrys exaltata. Journal of Chemical Ecology. 31(8). 1765–1787. 114 indexed citations
7.
Löfstedt, Christer, Junwei Zhu, Mikhail V. Kozlov, et al.. (2004). Identification of the Sex Pheromone of the Currant Shoot Borer Lampronia capitella. Journal of Chemical Ecology. 30(3). 643–658. 18 indexed citations
8.
Preuß, Annegret, et al.. (1999). Rhodococcus erythropolisによるヒドリド‐Meisenheimer複合体の形成と2,4,6‐トリニトロフェノール生分解のキー反応としてのプロトン化反応. Journal of Bacteriology. 181(4). 1189–1195. 4 indexed citations
9.
10.
Tóth, Miklós, et al.. (1995). Novel type of sex pheromone structure identified from Stigmella malella (Stainton) (Lepidoptera: Nepticulidae). Data Archiving and Networked Services (DANS). 3 indexed citations
11.
Schauer, Frieder, Rolf‐Michael Wittich, Peter Fortnagel, et al.. (1995). Biotransformation of diphenyl ether by the yeastTrichosporon beigelii SBUG 752. Biodegradation. 6(2). 173–180. 22 indexed citations
12.
Birgersson, Göran, Gary L. DeBarr, Peter de Groot, et al.. (1995). Pheromones in white pine cone beetle,Conophthorus coniperda (schwarz) (Coleoptera: Scolytidae). Journal of Chemical Ecology. 21(2). 143–167. 50 indexed citations
13.
14.
Kohnle, Ulrich, Wittko Francke, & A. Bakke. (1985). Polygraphus poligraphus (L.): Response to enantiomers of beetle specific terpene alcohols and a bicyclic ketal1. Zeitschrift für Angewandte Entomologie. 100(1-5). 5–8. 10 indexed citations
15.
16.
Redlich, Hartmut & Wittko Francke. (1984). Synthesis of Enantiomerically Pure 1,7‐Dioxaspiro[5.5]undecanes, Pheromone Components of the Olive Fly (Dacus oleae). Angewandte Chemie International Edition in English. 23(7). 519–520. 14 indexed citations
17.
Redlich, Hartmut & Wittko Francke. (1984). Synthese enantiomerenreiner 1,7-Dioxaspiro[5.5]undecane, einer Pheromonkomponente der Olivenfliege(Dacus oleae). Angewandte Chemie. 96(7). 506–507. 3 indexed citations
18.
Levinson, Anna R., H. Z. Levinson, & Wittko Francke. (1981). Intraspezifische Lockstoffe des Dornspeckkäfers Dermestes maculatus (De Geer). Max Planck Digital Library. 2. 235–237. 4 indexed citations
19.
Francke, Wittko, et al.. (1979). Isopropyl Carboxylates—A New Class of Insect Pheromones. Angewandte Chemie International Edition in English. 18(10). 796–797. 8 indexed citations
20.
Francke, Wittko & V. Heemann. (1976). Das Duftstoff‐Bouquet des Großen Waldgärtners Blastophagus piniperda L. (Coleoptera: Scolytidae)1,2. Zeitschrift für Angewandte Entomologie. 82(1-4). 117–119. 18 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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