Daniela Großmann
Impact in
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- Neurobiology and Insect Physiology Research
- Insect Science top 2%
- Insect Pheromone Research and Control
Papers in
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- Neurobiology and Insect Physiology Research 6
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- Developmental Biology and Gene Regulation 8
- Insect Resistance and Genetics 6
- Genomics and Phylogenetic Studies 3
- Biomedical Text Mining and Ontologies 2
- RNA Interference and Gene Delivery 1
- Wnt/β-catenin signaling in development and cancer 1
- Co-authors
- Gregor Bucher (11 shared papers)Michael Schoppmeier (3 shared papers)Shuichiro Tomita (1 shared paper)Yoshinori Tomoyasu (1 shared paper)Sherry Miller (1 shared paper)Jürgen Dönitz (5 shared papers)Martin Klingler (5 shared papers)Christian Schmitt-Engel (5 shared papers)
- Journals
- Developmental Biology (2 papers)BMC Genomics (2 papers)Development (1 paper)BMC Biology (1 paper)Nature Communications (1 paper)
- Partner nations
- GermanyUnited StatesJapan
In The Last Decade
Daniela Großmann
15 papers receiving 2.2k citations
Daniela Großmann's Hit Papers
Peers
Comparison fields: 5 of 74
- Cellular and Molecular Neuroscience 481
- Insect Science 299
- Molecular Biology 1.5k
- Ecology, Evolution, Behavior and Systematics 165
- Plant Science 330
Countries citing papers authored by Daniela Großmann
This map shows the geographic impact of Daniela Großmann'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 Daniela Großmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Großmann more than expected).
Fields of papers citing papers by Daniela Großmann
This network shows the impact of papers produced by Daniela Großmann. 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 Daniela Großmann. The network helps show where Daniela Großmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Großmann, 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 | The genome of the model beetle and pest Tribolium castaneum Hit paper breakdown → | 2008 | 1190 |
| 2 | 2008 | 482 | |
| 3 | 2015 | 138 | |
| 4 | 2015 | 129 | |
| 5 | 2014 | 112 | |
| 6 | 2008 | 42 | |
| 7 | 2014 | 37 | |
| 8 | 2009 | 33 | |
| 9 | 2012 | 21 | |
| 10 | 2022 | 19 | |
| 11 | 2024 | 18 | |
| 12 | 2019 | 14 | |
| 13 | 2013 | 13 | |
| 14 | 2013 | 11 | |
| 15 | 2022 | 4 |
About Daniela Großmann
Daniela Großmann is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Insect Science, Immunology and Nuclear Energy and Engineering, having authored 15 papers that have together received 2.3k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (8 papers), Insect Resistance and Genetics (6 papers), Neurobiology and Insect Physiology Research (6 papers), Genomics and Phylogenetic Studies (3 papers), Biomedical Text Mining and Ontologies (2 papers), RNA Interference and Gene Delivery (1 paper), Invertebrate Immune Response Mechanisms (1 paper) and Wnt/β-catenin signaling in development and cancer (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (481 citations), Insect Science (299 citations), Molecular Biology (1.5k citations), Ecology, Evolution, Behavior and Systematics (165 citations) and Plant Science (330 citations). Daniela Großmann has collaborated with scholars based in Germany, United States and Japan. Frequent co-authors include Gregor Bucher, Michael Schoppmeier, Shuichiro Tomita, Yoshinori Tomoyasu, Sherry Miller, Jürgen Dönitz, Martin Klingler, Christian Schmitt-Engel, Nikola-Michael Prpíc and Lizzy Gerischer. Their work appears in journals such as Developmental Biology, BMC Genomics, Development, BMC Biology and Nature Communications.
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.