Daniel Arend
Impact in
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- Scientific Computing and Data Management
- Plant Science top 10%
- Wheat and Barley Genetics and Pathology
- Genetics and Plant Breeding
- Smart Agriculture and AI
Papers in
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- Genomics and Phylogenetic Studies 4
- Biomedical Text Mining and Ontologies 4
- Gene expression and cancer classification 3
- Genetics, Bioinformatics, and Biomedical Research 3
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- Research Data Management Practices 12
- Co-authors
- Matthias Lange (18 shared papers)Uwe Scholz (16 shared papers)Astrid Junker (5 shared papers)Danuta Schüler (6 shared papers)Andreas Graner (3 shared papers)Christian Colmsee (4 shared papers)Jinbo Chen (1 shared paper)Dijun Chen (1 shared paper)
In The Last Decade
Daniel Arend
22 papers receiving 416 citations
Peers
Comparison fields: 5 of 52
- Information Systems and Management 66
- Plant Science 254
- Genetics 124
- Ecological Modeling 19
- Horticulture 4
Countries citing papers authored by Daniel Arend
This map shows the geographic impact of Daniel Arend'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 Arend with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Arend more than expected).
Fields of papers citing papers by Daniel Arend
This network shows the impact of papers produced by Daniel Arend. 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 Arend. The network helps show where Daniel Arend may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Arend, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 77 | |
| 2 | 2014 | 73 | |
| 3 | 2018 | 64 | |
| 4 | 2018 | 47 | |
| 5 | 2020 | 31 | |
| 6 | 2017 | 26 | |
| 7 | 2022 | 22 | |
| 8 | 2019 | 15 | |
| 9 | 2018 | 13 | |
| 10 | 2021 | 12 | |
| 11 | 2020 | 11 | |
| 12 | 2017 | 11 | |
| 13 | 2019 | 9 | |
| 14 | 2024 | 3 | |
| 15 | 2022 | 3 | |
| 16 | 2022 | 2 | |
| 17 | 2014 | 2 | |
| 18 | 2012 | 2 | |
| 19 | 2025 | 1 | |
| 20 | 2023 | 1 |
About Daniel Arend
Daniel Arend is a scholar working on Molecular Biology, Information Systems, Information Systems and Management, Genetics and Plant Science, having authored 23 papers that have together received 427 indexed citations. Recurring topics across this work include Research Data Management Practices (12 papers), Scientific Computing and Data Management (11 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers), Genomics and Phylogenetic Studies (4 papers), Biomedical Text Mining and Ontologies (4 papers), Wheat and Barley Genetics and Pathology (4 papers), Gene expression and cancer classification (3 papers) and Genetics, Bioinformatics, and Biomedical Research (3 papers). The work is most often cited by research in Information Systems and Management (66 citations), Plant Science (254 citations), Genetics (124 citations), Ecological Modeling (19 citations) and Horticulture (4 citations). Daniel Arend has collaborated with scholars based in Germany, China and Australia. Frequent co-authors include Matthias Lange, Uwe Scholz, Astrid Junker, Danuta Schüler, Andreas Graner, Christian Colmsee, Jinbo Chen, Dijun Chen, Rongli Shi and Ming Chen. Their work appears in journals such as Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics, The Plant Journal, Frontiers in Plant Science, Journal of Biotechnology and Scientific Data.
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.