Christopher Daum

2.2k total citations
14 papers, 476 citations indexed

About

Christopher Daum is a scholar working on Molecular Biology, Plant Science and Ecology. According to data from OpenAlex, Christopher Daum has authored 14 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Plant Science and 3 papers in Ecology. Recurrent topics in Christopher Daum's work include Genomics and Phylogenetic Studies (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers) and Microbial Community Ecology and Physiology (2 papers). Christopher Daum is often cited by papers focused on Genomics and Phylogenetic Studies (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers) and Microbial Community Ecology and Physiology (2 papers). Christopher Daum collaborates with scholars based in United States, United Kingdom and Spain. Christopher Daum's co-authors include Anna Lipzen, Kerrie Barry, Igor V. Grigoriev, Shweta Deshpande, Matthew Zane, Erika Lindquist, James E. Galagan, Michael Freitag, Cyril Zipfel and Xiaoying Zhou and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Christopher Daum

14 papers receiving 471 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher Daum United States 9 259 235 83 59 46 14 476
Jeff Landgraf United States 8 389 1.5× 477 2.0× 28 0.3× 57 1.0× 17 0.4× 10 666
Andrea Donoso Chile 8 107 0.4× 82 0.3× 51 0.6× 10 0.2× 62 1.3× 12 369
Natalia B. Ivleva United States 9 359 1.4× 203 0.9× 37 0.4× 87 1.5× 136 3.0× 9 485
Carmen Ruger-Herreros Germany 11 421 1.6× 265 1.1× 13 0.2× 36 0.6× 33 0.7× 15 606
Tong Liang China 9 583 2.3× 761 3.2× 16 0.2× 15 0.3× 15 0.3× 13 868
Hongqiu Zeng China 17 279 1.1× 706 3.0× 21 0.3× 112 1.9× 8 0.2× 28 802
Enying Zhang China 10 127 0.5× 196 0.8× 21 0.3× 20 0.3× 3 0.1× 26 297
Xinhao Ouyang China 13 884 3.4× 1.2k 5.3× 14 0.2× 37 0.6× 17 0.4× 20 1.3k
Zhenzhong Yu China 11 304 1.2× 372 1.6× 14 0.2× 4 0.1× 59 1.3× 22 581
Yong-Fu Fu China 17 638 2.5× 957 4.1× 55 0.7× 9 0.2× 4 0.1× 37 1.2k

Countries citing papers authored by Christopher Daum

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Daum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher Daum

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

All Works

14 of 14 papers shown
1.
Brown, Jennifer L., Candice L. Swift, Vasanth Singan, et al.. (2023). High-quality RNA extraction and the regulation of genes encoding cellulosomes are correlated with growth stage in anaerobic fungi. SHILAP Revista de lepidopterología. 4. 1171100–1171100. 3 indexed citations
2.
Lovell, John T., Sujan Mamidi, Jeremy Schmutz, et al.. (2023). Genomic prediction of switchgrass winter survivorship across diverse lowland populations. G3 Genes Genomes Genetics. 13(3). 1 indexed citations
3.
Macaya‐Sanz, David, Ran Zhou, Kerrie Barry, et al.. (2022). High-resolution mapping reveals hotspots and sex-biased recombination in Populus trichocarpa. G3 Genes Genomes Genetics. 13(1). 1 indexed citations
4.
Hu, Rongbin, Jin Zhang, Sara Jawdy, et al.. (2022). Comparative genomics analysis of drought response between obligate CAM and C3 photosynthesis plants. Journal of Plant Physiology. 277. 153791–153791. 4 indexed citations
5.
Calhoun, Sara, Bishoy Kamel, Tisza A. S. Bell, et al.. (2022). Multi-omics profiling of the cold tolerant Monoraphidium minutum 26B-AM in response to abiotic stress. Algal Research. 66. 102794–102794. 8 indexed citations
6.
Calhoun, Sara, Tisza A. S. Bell, Yuliya A. Kunde, et al.. (2021). A multi-omic characterization of temperature stress in a halotolerant Scenedesmus strain for algal biotechnology. Communications Biology. 4(1). 333–333. 41 indexed citations
7.
Gutiérrez, Ana, Gisela Marques, Grzegorz Sabat, et al.. (2021). Omics analyses and biochemical study of Phlebiopsis gigantea elucidate its degradation strategy of wood extractives. Scientific Reports. 11(1). 12528–12528. 4 indexed citations
8.
Fernández‐Pozo, Noé, Fabian B. Haas, Rabea Meyberg, et al.. (2019). PEATmoss (Physcomitrella Expression Atlas Tool): a unified gene expression atlas for the model plant Physcomitrella patens. The Plant Journal. 102(1). 165–177. 56 indexed citations
9.
Marotz, Clarisse, Anukriti Sharma, Greg Humphrey, et al.. (2019). Triplicate PCR Reactions for 16S rRNA Gene Amplicon Sequencing are Unnecessary. BioTechniques. 67(1). 29–32. 41 indexed citations
10.
Yoshinaga, Yuko, et al.. (2018). Genome Sequencing. Methods in molecular biology. 1775. 37–52. 13 indexed citations
11.
Singer, Esther, Bill Andreopoulos, Robert M. Bowers, et al.. (2016). Next generation sequencing data of a defined microbial mock community. Scientific Data. 3(1). 160081–160081. 74 indexed citations
12.
Schwessinger, Benjamin, Ofir Bahar, Nicolas Thomas, et al.. (2015). Transgenic Expression of the Dicotyledonous Pattern Recognition Receptor EFR in Rice Leads to Ligand-Dependent Activation of Defense Responses. PLoS Pathogens. 11(3). e1004809–e1004809. 90 indexed citations
13.
Wohlbach, Dana J., Jeffrey A. Lewis, Maria Sardi, et al.. (2014). Comparative Genomics of Saccharomyces cerevisiae Natural Isolates for Bioenergy Production. Genome Biology and Evolution. 6(9). 2557–2566. 35 indexed citations
14.
Hurley, Jennifer, Xiaoying Zhou, Carol S. Ringelberg, et al.. (2014). Analysis of clock-regulated genes in Neurospora reveals widespread posttranscriptional control of metabolic potential. Proceedings of the National Academy of Sciences. 111(48). 16995–17002. 105 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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