Heinz Saedler
- Molecular Biology top 0.1%
- Plant Science top 0.01%
- Ecology, Evolution, Behavior and Systematics top 0.2%
- Genetics top 0.5%
- Ecology top 2%
- Co-authors
- Peter HuijserHans SommerZsuzsanna Schwarz‐SommerGünter TheißenAlfons GierlPeter A. PetérsonThomas MünsterWolf‐Ekkehard Lönnig
- Topics
- Plant Molecular Biology Research (86 papers)Plant Reproductive Biology (84 papers)Chromosomal and Genetic Variations (53 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Heinz Saedler
231 papers receiving 21.5k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Molecular Biology 18.4k
- Plant Science 17.9k
- Ecology, Evolution, Behavior and Systematics 2.3k
- Genetics 2.3k
- Ecology 766
Countries citing papers authored by Heinz Saedler
This map shows the geographic impact of Heinz Saedler'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 Heinz Saedler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heinz Saedler more than expected).
Fields of papers citing papers by Heinz Saedler
This network shows the impact of papers produced by Heinz Saedler. 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 Heinz Saedler. The network helps show where Heinz Saedler may publish in the future.
Co-authorship network of co-authors of Heinz Saedler
This figure shows the co-authorship network connecting the top 25 collaborators of Heinz Saedler. A scholar is included among the top collaborators of Heinz Saedler 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 Heinz Saedler. Heinz Saedler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 94 | |
| 2 | 228 | |
| 3 | 68 | |
| 4 | 369 | |
| 5 | 129 | |
| 6 | Maize MADS-Box Genes Galore | 57 |
| 7 | Plant Gene Register PGR 00-010. Isolation of two cDNAs encoding AT-hook DNA-binding proteins, SAP1 and HMR1, from an Antirrhinum majus L. inflorescence expression library (accession nos. AJ132349 and AJ236702). | 1 |
| 8 | 25 | |
| 9 | 351 | |
| 10 | 209 | |
| 11 | 75 | |
| 12 | 22 | |
| 13 | 6 | |
| 14 | 58 | |
| 15 | 62 | |
| 16 | 158 | |
| 17 | 129 | |
| 18 | 49 | |
| 19 | 59 | |
| 20 | 74 |
About Heinz Saedler
Heinz Saedler is a scholar working on Plant Science, Molecular Biology and Genetics, having authored 234 papers that have together received 22.7k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (86 papers), Plant Reproductive Biology (84 papers) and Chromosomal and Genetic Variations (53 papers). The work is most often cited by research in Plant Science (17.9k citations), Molecular Biology (18.4k citations) and Horticulture (138 citations). Heinz Saedler has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Peter Huijser, Hans Sommer, Zsuzsanna Schwarz‐Sommer, Günter Theißen, Alfons Gierl, Peter A. Petérson, Thomas Münster, Wolf‐Ekkehard Lönnig, Debabrota Ghosal and Jan T. Kim. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.