Stefan Siebert
Impact in
- Paleontology top 2%
- Marine Invertebrate Physiology and Ecology
- Global and Planetary Change top 10%
- Marine Ecology and Invasive Species
Papers in
- Paleontology 18
- Marine Invertebrate Physiology and Ecology 17
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- Hippo pathway signaling and YAP/TAZ 7
- Co-authors
- Celina E. Juliano (8 shared papers)Casey W. Dunn (9 shared papers)Thomas C. G. Bosch (4 shared papers)Jack F. Cazet (3 shared papers)Abby S. Primack (1 shared paper)Felipe Zapata (5 shared papers)Christine E. Schnitzler (1 shared paper)Jeffrey A. Farrell (1 shared paper)
- Journals
- Developmental Biology (2 papers)PLoS ONE (2 papers)EvoDevo (1 paper)Cell Reports Methods (1 paper)eLife (1 paper)
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
Stefan Siebert
23 papers receiving 1.2k citations
Stefan Siebert's Hit Papers
Peers
Comparison fields: 5 of 94
- Paleontology 536
- Global and Planetary Change 250
- Aging 20
- Biotechnology 74
- Cell Biology 139
Countries citing papers authored by Stefan Siebert
This map shows the geographic impact of Stefan Siebert'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 Stefan Siebert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Siebert more than expected).
Fields of papers citing papers by Stefan Siebert
This network shows the impact of papers produced by Stefan Siebert. 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 Stefan Siebert. The network helps show where Stefan Siebert may publish in the future.
Co-authors
The 25 scholars most cited alongside Stefan Siebert, 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 | Stem cell differentiation trajectories in Hydra resolved at single-cell resolution Hit paper breakdown → | 2019 | 242 |
| 2 | 2015 | 152 | |
| 3 | 2022 | 89 | |
| 4 | 2019 | 84 | |
| 5 | 2009 | 73 | |
| 6 | 2006 | 68 | |
| 7 | 2018 | 68 | |
| 8 | 2013 | 65 | |
| 9 | 2007 | 62 | |
| 10 | 2011 | 39 | |
| 11 | 2020 | 35 | |
| 12 | 2022 | 26 | |
| 13 | 2016 | 26 | |
| 14 | 2018 | 25 | |
| 15 | 2015 | 24 | |
| 16 | 2020 | 21 | |
| 17 | 2013 | 17 | |
| 18 | 2005 | 16 | |
| 19 | 2023 | 13 | |
| 20 | 2015 | 12 |
About Stefan Siebert
Stefan Siebert is a scholar working on Paleontology, Cell Biology, Global and Planetary Change, Molecular Biology and Ecology, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include Marine Invertebrate Physiology and Ecology (17 papers), Hippo pathway signaling and YAP/TAZ (7 papers), Marine Ecology and Invasive Species (5 papers), Protist diversity and phylogeny (3 papers), Genomics and Phylogenetic Studies (2 papers), Coastal wetland ecosystem dynamics (2 papers), Parasite Biology and Host Interactions (2 papers) and Marine Toxins and Detection Methods (2 papers). The work is most often cited by research in Paleontology (536 citations), Global and Planetary Change (250 citations), Aging (20 citations), Biotechnology (74 citations) and Cell Biology (139 citations). Stefan Siebert has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Celina E. Juliano, Casey W. Dunn, Thomas C. G. Bosch, Jack F. Cazet, Abby S. Primack, Felipe Zapata, Christine E. Schnitzler, Jeffrey A. Farrell, René Augustin and Steven H. D. Haddock. Their work appears in journals such as Developmental Biology, PLoS ONE, EvoDevo, Cell Reports Methods and eLife.
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.