Gabi Tremml
- Molecular Biology top 5%
- Genetics top 5%
- Cellular and Molecular Neuroscience top 5%
- Developmental Neuroscience top 2%
- Immunology top 10%
- Co-authors
- Karel F. LiemThomas M. JessellHenk RoelinkMariann BienzMonica BesslerVittorio RostiPier Paolo PandolfiMark S. Roberson
- Topics
- Viral Infectious Diseases and Gene Expression in Insects (5 papers)Complement system in diseases (5 papers)Developmental Biology and Gene Regulation (5 papers)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Gabi Tremml
20 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Molecular Biology 1.6k
- Genetics 433
- Cellular and Molecular Neuroscience 321
- Developmental Neuroscience 304
- Immunology 258
Countries citing papers authored by Gabi Tremml
This map shows the geographic impact of Gabi Tremml'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 Gabi Tremml with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabi Tremml more than expected).
Fields of papers citing papers by Gabi Tremml
This network shows the impact of papers produced by Gabi Tremml. 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 Gabi Tremml. The network helps show where Gabi Tremml may publish in the future.
Co-authorship network of co-authors of Gabi Tremml
This figure shows the co-authorship network connecting the top 25 collaborators of Gabi Tremml. A scholar is included among the top collaborators of Gabi Tremml based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gabi Tremml. Gabi Tremml is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 8 | |
| 6 | 17 | |
| 7 | 27 | |
| 8 | 51 | |
| 9 | 6 | |
| 10 | 84 | |
| 11 | 55 | |
| 12 | 110 | |
| 13 | 462 | |
| 14 | 30 | |
| 15 | Dorsal differentiation of neural plate cells induced by BMP-mediated signals from epidermal ectodermbreakdown → | 874 |
| 16 | 135 | |
| 17 | 11 | |
| 18 | 79 | |
| 19 | 113 | |
| 20 | 25 |
About Gabi Tremml
Gabi Tremml is a scholar working on Developmental Biology, Immunology and Developmental Neuroscience, having authored 20 papers that have together received 2.1k indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (5 papers), Complement system in diseases (5 papers) and Developmental Biology and Gene Regulation (5 papers). The work is most often cited by research in Developmental Neuroscience (304 citations), Molecular Biology (1.6k citations) and Cellular and Molecular Neuroscience (321 citations). Gabi Tremml has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Karel F. Liem, Thomas M. Jessell, Henk Roelink, Mariann Bienz, Monica Bessler, Vittorio Rosti, Pier Paolo Pandolfi, Mark S. Roberson, W E Schoderbek and Peter M. Keller. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.
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.