Daniela Großmann
Impact in
- Insect Science top 2%
- Insect and Pesticide Research
- Insect-Plant Interactions and Control
- Aging top 10%
Papers in ⓘ
-
- Insect Resistance and Genetics 7
- Developmental Biology and Gene Regulation 6
- RNA Research and Splicing 5
- Genomics and Chromatin Dynamics 2
- RNA Interference and Gene Delivery 2
- Genetics 5
- Animal Genetics and Reproduction 3
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 2
- Co-authors
- Gregor Bucher (12 shared papers)Michael Schoppmeier (3 shared papers)Yoshinori Tomoyasu (1 shared paper)Sherry Miller (1 shared paper)Shuichiro Tomita (1 shared paper)Martin Klingler (5 shared papers)Jürgen Dönitz (5 shared papers)Christian Schmitt-Engel (5 shared papers)
- Journals
- BMC Genomics (2 papers)Developmental Biology (2 papers)BMC Biology (1 paper)Information Polity (1 paper)Pest Management Science (1 paper)
- Partner nations
- GermanyKazakhstanUnited States
In The Last Decade
Daniela Großmann
15 papers receiving 886 citations
Peers
Comparison fields: 5 of 67
- Insect Science 354
- Aging 20
- Molecular Biology 785
- Cellular and Molecular Neuroscience 124
- Plant Science 233
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 | 2008 | 427 | |
| 2 | 2015 | 119 | |
| 3 | 2014 | 100 | |
| 4 | 2009 | 69 | |
| 5 | 2008 | 36 | |
| 6 | 2014 | 35 | |
| 7 | 2009 | 29 | |
| 8 | 2012 | 19 | |
| 9 | 2022 | 15 | |
| 10 | 2019 | 14 | |
| 11 | 2013 | 11 | |
| 12 | 2024 | 10 | |
| 13 | 2013 | 9 | |
| 14 | 2022 | 3 | |
| 15 | 2024 | 3 |
About Daniela Großmann
Daniela Großmann is a scholar working on Molecular Biology, Genetics, Insect Science, Biomaterials and Pharmacology, having authored 15 papers that have together received 899 indexed citations. Recurring topics across this work include Insect Resistance and Genetics (7 papers), Developmental Biology and Gene Regulation (6 papers), RNA Research and Splicing (5 papers), Insect Utilization and Effects (3 papers), Animal Genetics and Reproduction (3 papers), Genomics and Chromatin Dynamics (2 papers), RNA Interference and Gene Delivery (2 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers). The work is most often cited by research in Insect Science (354 citations), Aging (20 citations), Molecular Biology (785 citations), Cellular and Molecular Neuroscience (124 citations) and Plant Science (233 citations). Daniela Großmann has collaborated with scholars based in Germany, Kazakhstan and United States. Frequent co-authors include Gregor Bucher, Michael Schoppmeier, Yoshinori Tomoyasu, Sherry Miller, Shuichiro Tomita, Martin Klingler, Jürgen Dönitz, Christian Schmitt-Engel, Nikola-Michael Prpíc and Lizzy Gerischer. Their work appears in journals such as BMC Genomics, Developmental Biology, BMC Biology, Information Polity and Pest Management 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.