Chris Daum
Impact in
- Plant Science top 5%
- Plant-Microbe Interactions and Immunity
- Mycorrhizal Fungi and Plant Interactions
- Legume Nitrogen Fixing Symbiosis
- Ecology top 5%
- Microbial Community Ecology and Physiology
Papers in
-
- Genomics and Phylogenetic Studies 25
- Microbial Metabolic Engineering and Bioproduction 9
-
- Mycorrhizal Fungi and Plant Interactions 8
- Co-authors
- Kerrie Barry (27 shared papers)Anna Lipzen (24 shared papers)Igor V. Grigoriev (22 shared papers)Yuko Yoshinaga (15 shared papers)Alicia Clum (18 shared papers)Jeremy Schmutz (13 shared papers)Shweta Deshpande (5 shared papers)L Pennacchio (3 shared papers)
- Journals
- mBio (4 papers)The Plant Journal (4 papers)G3 Genes Genomes Genetics (3 papers)Communications Biology (3 papers)Genetics (2 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Chris Daum
74 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 105
- Plant Science 708
- Ecology 375
- Molecular Biology 963
- Agronomy and Crop Science 112
- Endocrine and Autonomic Systems 68
Countries citing papers authored by Chris Daum
This map shows the geographic impact of Chris 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 Chris Daum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Daum more than expected).
Fields of papers citing papers by Chris Daum
This network shows the impact of papers produced by Chris 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 Chris Daum. The network helps show where Chris Daum may publish in the future.
Co-authors
The 25 scholars most cited alongside Chris Daum, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 273 | |
| 2 | 2014 | 113 | |
| 3 | 2015 | 98 | |
| 4 | 2019 | 86 | |
| 5 | 2016 | 76 | |
| 6 | 2021 | 74 | |
| 7 | 2022 | 66 | |
| 8 | 2015 | 62 | |
| 9 | 2019 | 58 | |
| 10 | 2021 | 47 | |
| 11 | 2019 | 43 | |
| 12 | 2021 | 41 | |
| 13 | 2013 | 40 | |
| 14 | 2021 | 40 | |
| 15 | 2016 | 38 | |
| 16 | 2021 | 37 | |
| 17 | 2014 | 36 | |
| 18 | 2017 | 35 | |
| 19 | 2017 | 35 | |
| 20 | 2016 | 32 |
About Chris Daum
Chris Daum is a scholar working on Molecular Biology, Plant Science, Ecology, Biomedical Engineering and Genetics, having authored 78 papers that have together received 1.9k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (25 papers), Microbial Community Ecology and Physiology (21 papers), Biofuel production and bioconversion (10 papers), Microbial Metabolic Engineering and Bioproduction (9 papers), Mycorrhizal Fungi and Plant Interactions (8 papers), Plant Pathogens and Fungal Diseases (7 papers), Bioenergy crop production and management (7 papers) and Genetic Mapping and Diversity in Plants and Animals (5 papers). The work is most often cited by research in Plant Science (708 citations), Ecology (375 citations), Molecular Biology (963 citations), Agronomy and Crop Science (112 citations) and Endocrine and Autonomic Systems (68 citations). Chris Daum has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Kerrie Barry, Anna Lipzen, Igor V. Grigoriev, Yuko Yoshinaga, Alicia Clum, Jeremy Schmutz, Shweta Deshpande, L Pennacchio, Matthew J. Blow and Ronan C. O’Malley. Their work appears in journals such as mBio, The Plant Journal, G3 Genes Genomes Genetics, Communications Biology and Genetics.
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.