Daniel S. Grum
Impact in
- Cell Biology top 5%
- Plant Pathogens and Fungal Diseases
- Endoplasmic Reticulum Stress and Disease
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- Plant and fungal interactions
Papers in
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- Plant Pathogens and Fungal Diseases 7
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- Microbial Natural Products and Biosynthesis 6
- Fungal Biology and Applications 3
- Co-authors
- Daniel Cook (9 shared papers)Dale R. Gardner (8 shared papers)James Alan Pfister (7 shared papers)Michael H. Ralphs (4 shared papers)Chrisovalantis Papadopoulos (1 shared paper)Philipp Kirchner (1 shared paper)Michael Ehrmann (1 shared paper)Hemmo H Meyer (1 shared paper)
- Journals
- Journal of Agricultural and Food Chemistry (3 papers)PLoS ONE (2 papers)Toxicon (1 paper)Biochemical and Biophysical Research Communications (1 paper)Poultry Science (1 paper)
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
Daniel S. Grum
17 papers receiving 676 citations
Peers
Comparison fields: 5 of 74
- Cell Biology 302
- Ecology, Evolution, Behavior and Systematics 202
- Physiology 41
- Pharmacology 115
- Epidemiology 162
Countries citing papers authored by Daniel S. Grum
This map shows the geographic impact of Daniel S. Grum'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 Daniel S. Grum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel S. Grum more than expected).
Fields of papers citing papers by Daniel S. Grum
This network shows the impact of papers produced by Daniel S. Grum. 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 Daniel S. Grum. The network helps show where Daniel S. Grum may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel S. Grum, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 272 | |
| 2 | 2013 | 70 | |
| 3 | 2013 | 56 | |
| 4 | 2011 | 50 | |
| 5 | 2012 | 34 | |
| 6 | 2011 | 32 | |
| 7 | 2012 | 32 | |
| 8 | 2012 | 32 | |
| 9 | 2010 | 27 | |
| 10 | 2012 | 25 | |
| 11 | 2012 | 18 | |
| 12 | 2013 | 12 | |
| 13 | 2023 | 8 | |
| 14 | 2016 | 8 | |
| 15 | 2025 | 7 | |
| 16 | 2014 | 6 | |
| 17 | 2024 | 2 |
About Daniel S. Grum
Daniel S. Grum is a scholar working on Cell Biology, Pharmacology, Ecology, Evolution, Behavior and Systematics, Equine and Infectious Diseases, having authored 17 papers that have together received 691 indexed citations. Recurring topics across this work include Plant and fungal interactions (9 papers), Plant Pathogens and Fungal Diseases (7 papers), Microbial Natural Products and Biosynthesis (6 papers), Fungal Biology and Applications (3 papers), Biochemical and Molecular Research (2 papers), Nitrogen and Sulfur Effects on Brassica (2 papers), Glycosylation and Glycoproteins Research (1 paper) and RNA modifications and cancer (1 paper). The work is most often cited by research in Cell Biology (302 citations), Ecology, Evolution, Behavior and Systematics (202 citations), Physiology (41 citations), Pharmacology (115 citations) and Epidemiology (162 citations). Daniel S. Grum has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Daniel Cook, Dale R. Gardner, James Alan Pfister, Michael H. Ralphs, Chrisovalantis Papadopoulos, Philipp Kirchner, Michael Ehrmann, Hemmo H Meyer, Monika Bug and Conrad C. Weihl. Their work appears in journals such as Journal of Agricultural and Food Chemistry, PLoS ONE, Toxicon, Biochemical and Biophysical Research Communications and Poultry Science.
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.