Eva Wolf

3.4k total citations · 1 hit paper
40 papers, 2.7k citations indexed

About

Eva Wolf is a scholar working on Plant Science, Molecular Biology and Endocrine and Autonomic Systems. According to data from OpenAlex, Eva Wolf has authored 40 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Plant Science, 17 papers in Molecular Biology and 17 papers in Endocrine and Autonomic Systems. Recurrent topics in Eva Wolf's work include Circadian rhythm and melatonin (17 papers), Light effects on plants (17 papers) and Spaceflight effects on biology (6 papers). Eva Wolf is often cited by papers focused on Circadian rhythm and melatonin (17 papers), Light effects on plants (17 papers) and Spaceflight effects on biology (6 papers). Eva Wolf collaborates with scholars based in Germany, United States and Austria. Eva Wolf's co-authors include Mónica Milla, Peter S. Kim, Bonnie Berger, David B. Wilson, Sven Hennig, Alex Berndt, Achim Kramer, Alfred Wittinghofer, Astrid Grudziecki and S.K. Burley and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Eva Wolf

39 papers receiving 2.7k citations

Hit Papers

Predicting coiled coils by use of pairwise residue correl... 1995 2026 2005 2015 1995 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eva Wolf Germany 26 1.4k 755 646 505 342 40 2.7k
Brian Kloss United States 22 1.8k 1.3× 1.0k 1.4× 1.2k 1.9× 1.3k 2.6× 195 0.6× 37 3.8k
Andreas Schlösser Germany 39 2.5k 1.8× 707 0.9× 484 0.7× 281 0.6× 305 0.9× 138 4.6k
Jens T. Vanselow Germany 22 1.1k 0.8× 513 0.7× 683 1.1× 301 0.6× 147 0.4× 36 2.1k
Dong Yan China 26 3.6k 2.6× 401 0.5× 487 0.8× 503 1.0× 672 2.0× 73 5.1k
Yi Liu China 41 3.9k 2.9× 1.8k 2.4× 799 1.2× 309 0.6× 292 0.9× 156 5.9k
Naoki Hisamoto Japan 33 2.8k 2.1× 217 0.3× 643 1.0× 582 1.2× 864 2.5× 89 4.9k
Joohong Ahnn South Korea 29 1.4k 1.1× 230 0.3× 232 0.4× 220 0.4× 405 1.2× 92 2.7k
David P. Welchman United Kingdom 9 2.2k 1.6× 298 0.4× 339 0.5× 254 0.5× 576 1.7× 9 3.6k
Gino Poulin United Kingdom 19 2.8k 2.0× 307 0.4× 404 0.6× 189 0.4× 469 1.4× 32 4.0k
Hiromi Daiyasu Japan 18 864 0.6× 517 0.7× 252 0.4× 401 0.8× 49 0.1× 26 1.6k

Countries citing papers authored by Eva Wolf

Since Specialization
Citations

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

Fields of papers citing papers by Eva Wolf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Wolf

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Wolf. A scholar is included among the top collaborators of Eva Wolf 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 Eva Wolf. Eva Wolf 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.
Hübner, Andreas, et al.. (2025). Nanoscale Direct-to-Biology Optimization and Structural Insights into Selective S. aureus TrmD Inhibitors. Journal of Medicinal Chemistry. 68(24). 26246–26262.
2.
Prorok, Paulina, Eva Wolf, & M. Cristina Cardoso. (2024). Timeless–Tipin interactions with MCM and RPA mediate DNA replication stress response. Frontiers in Cell and Developmental Biology. 12. 1346534–1346534. 1 indexed citations
3.
Hammer, C H, et al.. (2023). A marine cryptochrome with an inverse photo-oligomerization mechanism. Nature Communications. 14(1). 6918–6918. 4 indexed citations
4.
Wolf, Eva, et al.. (2023). All Light, Everywhere? Photoreceptors at Nonconventional Sites. Physiology. 39(1). 30–43. 8 indexed citations
5.
Rieger, Dirk, Vinoth Babu Veedin Rajan, Elliot Gerrard, et al.. (2022). Two light sensors decode moonlight versus sunlight to adjust a plastic circadian/circalunidian clock to moon phase. Proceedings of the National Academy of Sciences. 119(22). e2115725119–e2115725119. 20 indexed citations
6.
Häfker, N. Sören, Elmar Jaenicke, Enrique Arboleda, et al.. (2022). A Cryptochrome adopts distinct moon- and sunlight states and functions as sun- versus moonlight interpreter in monthly oscillator entrainment. Nature Communications. 13(1). 5220–5220. 19 indexed citations
7.
Orrù, Roberto, Wieland Steinchen, Ute A. Hellmich, et al.. (2020). IM30 IDPs form a membrane-protective carpet upon super-complex disassembly. Communications Biology. 3(1). 595–595. 24 indexed citations
8.
Li, Huige, Thomas Münzel, Eva Wolf, et al.. (2019). Influence of mental stress and environmental toxins on circadian clocks: Implications for redox regulation of the heart and cardioprotection. British Journal of Pharmacology. 177(23). 5393–5412. 48 indexed citations
9.
Merbitz-Zahradnik, Torsten & Eva Wolf. (2015). How is the inner circadian clock controlled by interactive clock proteins?. FEBS Letters. 589(14). 1516–1529. 31 indexed citations
10.
Reischl, Silke, Thomas Wallach, Roman Klemz, et al.. (2014). Interaction of Circadian Clock Proteins CRY1 and PER2 Is Modulated by Zinc Binding and Disulfide Bond Formation. Cell. 157(5). 1203–1215. 144 indexed citations
11.
Wolf, Eva, et al.. (2014). Architecture and ssDNA interaction of the Timeless-Tipin-RPA complex. Nucleic Acids Research. 42(20). 12912–12927. 23 indexed citations
12.
Pawlowski, Nikolaus, Aliaksandr Khaminets, Julia P. Hunn, et al.. (2011). The activation mechanism of Irga6, an interferon-inducible GTPase contributing to mouse resistance against Toxoplasma gondii. BMC Biology. 9(1). 7–7. 30 indexed citations
13.
Hennig, Sven, Holger M. Strauss, Katja Vanselow, et al.. (2009). Structural and Functional Analyses of PAS Domain Interactions of the Clock Proteins Drosophila PERIOD and Mouse PERIOD2. PLoS Biology. 7(4). e1000094–e1000094. 72 indexed citations
14.
Tyagi, Amit K., А. Penzkofer, Alfred Batschauer, & Eva Wolf. (2009). Thermal degradation of (6R,S)-5,10-methenyltetrahydrofolate in aqueous solution at pH 8. Chemical Physics. 358(1-2). 132–136. 11 indexed citations
15.
Landskron, Johannes, Ko‐Fan Chen, Eva Wolf, & Ralf Stanewsky. (2009). A Role for the PERIOD:PERIOD Homodimer in the Drosophila Circadian Clock. PLoS Biology. 7(4). e1000003–e1000003. 26 indexed citations
16.
Schöning, Jan C., Corinna Streitner, Damian R. Page, et al.. (2007). Auto‐regulation of the circadian slave oscillator component AtGRP7 and regulation of its targets is impaired by a single RNA recognition motif point mutation. The Plant Journal. 52(6). 1119–1130. 121 indexed citations
18.
Ghosh, Agnidipta, et al.. (2004). Crystal Structure of IIGP1. Molecular Cell. 15(5). 727–739. 58 indexed citations
19.
Wolf, Eva, et al.. (2002). X-ray crystallographic studies of serotonin N-acetyltransferase catalysis and inhibition. Journal of Molecular Biology. 317(2). 215–224. 50 indexed citations
20.
Rehmann, Holger, Balaji Prakash, Eva Wolf, et al.. (2002). Structure and regulation of the cAMP-binding domains of Epac2. Nature Structural Biology. 10(1). 26–32. 165 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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