Frank C. Schroeder

15.9k total citations
241 papers, 10.0k citations indexed

About

Frank C. Schroeder is a scholar working on Molecular Biology, Aging and Plant Science. According to data from OpenAlex, Frank C. Schroeder has authored 241 papers receiving a total of 10.0k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Molecular Biology, 81 papers in Aging and 40 papers in Plant Science. Recurrent topics in Frank C. Schroeder's work include Genetics, Aging, and Longevity in Model Organisms (81 papers), Circadian rhythm and melatonin (37 papers) and Microbial Natural Products and Biosynthesis (26 papers). Frank C. Schroeder is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (81 papers), Circadian rhythm and melatonin (37 papers) and Microbial Natural Products and Biosynthesis (26 papers). Frank C. Schroeder collaborates with scholars based in United States, Germany and United Kingdom. Frank C. Schroeder's co-authors include Paul W. Sternberg, Jon Clardy, Jerrold Meinwald, Stephan H. von Reuß, Jagan Srinivasan, Parag Mahanti, Arthur S. Edison, Joshua A. Baccile, Neelanjan Bose and Bennett W. Fox and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Frank C. Schroeder

238 papers receiving 9.8k citations

Peers

Frank C. Schroeder
Rajindar S. Sohal United States
Pankaj Kapahi United States
David Gems United Kingdom
John Tower United States
Nigel Turner Australia
Andrew Dillin United States
Rajindar S. Sohal United States
Frank C. Schroeder
Citations per year, relative to Frank C. Schroeder Frank C. Schroeder (= 1×) peers Rajindar S. Sohal

Countries citing papers authored by Frank C. Schroeder

Since Specialization
Citations

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

Fields of papers citing papers by Frank C. Schroeder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frank C. Schroeder. 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 Frank C. Schroeder. The network helps show where Frank C. Schroeder may publish in the future.

Co-authorship network of co-authors of Frank C. Schroeder

This figure shows the co-authorship network connecting the top 25 collaborators of Frank C. Schroeder. A scholar is included among the top collaborators of Frank C. Schroeder 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 Frank C. Schroeder. Frank C. Schroeder 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.
Wu, Yu‐Chun, Isabel Beets, Bennett W. Fox, et al.. (2025). Intercellular sphingolipid signaling mediates aversive learning in C. elegans. Current Biology. 35(10). 2323–2336.e9. 2 indexed citations
2.
Schulz, Philipp, et al.. (2024). The nematode signaling molecule ascr#18 induces prepenetration defenses in wheat against a leaf rust fungus. Journal of Plant Diseases and Protection. 131(6). 2053–2062. 4 indexed citations
3.
Tauffenberger, Arnaud, et al.. (2024). Sensory integration of food and population density during the diapause exit decision involves insulin-like signaling in Caenorhabditis elegans. Proceedings of the National Academy of Sciences. 121(40). e2405391121–e2405391121. 3 indexed citations
4.
Ulzurrun, Guillermo Vidal-Diez de, et al.. (2024). The nematode-trapping fungus Arthrobotrys oligospora detects prey pheromones via G protein-coupled receptors. Nature Microbiology. 9(7). 1738–1751. 14 indexed citations
5.
Fox, Bennett W., Rui Guo, Sookyung Kim, et al.. (2024). Host–microbe interactions rewire metabolism in a C. elegans model of leucine breakdown deficiency. Nature Metabolism. 6(8). 1584–1600. 2 indexed citations
6.
Lee, Daehan, Bennett W. Fox, Oishika Panda, et al.. (2023). Natural genetic variation in the pheromone production of C. elegans. Proceedings of the National Academy of Sciences. 120(26). e2221150120–e2221150120. 3 indexed citations
8.
Piazzesi, Antonia, Lena Wischhof, Viktoria V. Zeisler‐Diehl, et al.. (2022). CEST‐2.2 overexpression alters lipid metabolism and extends longevity of mitochondrial mutants. EMBO Reports. 23(5). e52606–e52606. 7 indexed citations
9.
Raffa, Nicholas, Tae Hyung Won, Chengsen Cui, et al.. (2021). Dual-purpose isocyanides produced by Aspergillus fumigatus contribute to cellular copper sufficiency and exhibit antimicrobial activity. Proceedings of the National Academy of Sciences. 118(8). 45 indexed citations
10.
Ulzurrun, Guillermo Vidal-Diez de, A. Pedro Gonçalves, Ching‐Wen Chang, et al.. (2020). Natural diversity in the predatory behavior facilitates the establishment of a robust model strain for nematode-trapping fungi. Proceedings of the National Academy of Sciences. 117(12). 6762–6770. 62 indexed citations
11.
Le, Henry H., Ying K. Zhang, Bennett W. Fox, et al.. (2020). Deep Interrogation of Metabolism Using a Pathway-Targeted Click-Chemistry Approach. Journal of the American Chemical Society. 142(43). 18449–18459. 22 indexed citations
12.
Zhou, Shaoqun, Karl A. Kremling, Nonoy Bandillo, et al.. (2019). Metabolome-Scale Genome-Wide Association Studies Reveal Chemical Diversity and Genetic Control of Maize Specialized Metabolites. The Plant Cell. 31(5). 937–955. 68 indexed citations
13.
Lee, Daehan, Stefan Zdraljevic, Daniel E. Cook, et al.. (2019). Selection and gene flow shape niche-associated variation in pheromone response. Nature Ecology & Evolution. 3(10). 1455–1463. 37 indexed citations
14.
Zhou, Shaoqun, Ying K. Zhang, Karl A. Kremling, et al.. (2018). Ethylene signaling regulates natural variation in the abundance of antifungal acetylated diferuloylsucroses and Fusarium graminearum resistance in maize seedling roots. New Phytologist. 221(4). 2096–2111. 43 indexed citations
15.
Baccile, Joshua A., Joseph E. Spraker, Joanna Tannous, et al.. (2017). NRPS-Derived Isoquinolines and Lipopetides Mediate Antagonism between Plant Pathogenic Fungi and Bacteria. ACS Chemical Biology. 13(1). 171–179. 42 indexed citations
16.
Manosalva, Patricia, Murli Manohar, Stephan H. von Reuß, et al.. (2015). Conserved nematode signalling molecules elicit plant defenses and pathogen resistance. Nature Communications. 6(1). 7795–7795. 188 indexed citations
17.
Maures, Travis J., Lauren N. Booth, Bérénice A. Benayoun, et al.. (2013). Males Shorten the Life Span of C. elegans Hermaphrodites via Secreted Compounds. Science. 343(6170). 541–544. 128 indexed citations
18.
Srinivasan, Jagan, Bennett W. Fox, Rabia U. Malik, et al.. (2009). A shortcut to identifying small molecule signals that regulate behavior and development in Caenorhabditis elegans. Proceedings of the National Academy of Sciences. 106(19). 7708–7713. 186 indexed citations
19.
Hutchinson, Deborah A., Akira Mori, Alan H. Savitzky, et al.. (2007). Dietary sequestration of defensive steroids in nuchal glands of the Asian snake Rhabdophis tigrinus. Proceedings of the National Academy of Sciences. 104(7). 2265–2270. 90 indexed citations
20.
Wiltshire, Karen Helen & Frank C. Schroeder. (1994). Pigments patterns in suspended matter from Elbe and associated waters as determined using high perfomance liquid chromatography. Helmholtz-Zentrum für Polar-und Meeresforschung (Alfred-Wegener-Institut). 2 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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