G. Neuhaus
- Plant Science top 5%
- Molecular Biology
- Biotechnology top 5%
- Genetics
- Ecology, Evolution, Behavior and Systematics
- Co-authors
- Hans‐Georg SchweigerHiroshi YamagataN H ChuaChris BowlerGermán SpangenbergOrtrun Mittelsten ScheidGabriele Neuhaus-UrlThomas Merkle
- Topics
- Plant tissue culture and regeneration (8 papers)Plant Molecular Biology Research (5 papers)Transgenic Plants and Applications (5 papers)
- Partner nations
- GermanySwitzerlandHungary
In The Last Decade
G. Neuhaus
18 papers receiving 701 citations
Peers
Comparison fields: 5 of 66
- Plant Science 575
- Molecular Biology 558
- Biotechnology 138
- Genetics 38
- Ecology, Evolution, Behavior and Systematics 22
Countries citing papers authored by G. Neuhaus
This map shows the geographic impact of G. Neuhaus'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 G. Neuhaus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Neuhaus more than expected).
Fields of papers citing papers by G. Neuhaus
This network shows the impact of papers produced by G. Neuhaus. 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 G. Neuhaus. The network helps show where G. Neuhaus may publish in the future.
Co-authorship network of co-authors of G. Neuhaus
This figure shows the co-authorship network connecting the top 25 collaborators of G. Neuhaus. A scholar is included among the top collaborators of G. Neuhaus 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 G. Neuhaus. G. Neuhaus is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 49 | |
| 3 | 52 | |
| 4 | Isolation and Sequence Analysis of a Genomic Clone (Accession No. Y18470) of the Nuclear Export Receptor AtXPO1 (AtCRM1) from Arabidopsis thaliana. (PGR99-127). | 4 |
| 5 | Isolaton and sequence analysis of a genomic clone of the nuclear export receptor AtXPO1 (AtCRM1) from Arabidopsis thaliana | 1 |
| 6 | Characterization of four cDNAs encoding different Importin alpha homologues from Arabidopsis thaliana, designated AtIMPa1-4. | 27 |
| 7 | 74 | |
| 8 | 87 | |
| 9 | 16 | |
| 10 | 34 | |
| 11 | Elucidation of phytochrome signal-transduction mechanisms. | 1 |
| 12 | 143 | |
| 13 | 5 | |
| 14 | 67 | |
| 15 | 13 | |
| 16 | 43 | |
| 17 | 106 | |
| 18 | 29 |
About G. Neuhaus
G. Neuhaus is a scholar working on Biotechnology, Plant Science and Molecular Biology, having authored 18 papers that have together received 752 indexed citations. Recurring topics across this work include Plant tissue culture and regeneration (8 papers), Plant Molecular Biology Research (5 papers) and Transgenic Plants and Applications (5 papers). The work is most often cited by research in Biotechnology (138 citations), Plant Science (575 citations) and Molecular Biology (558 citations). G. Neuhaus has collaborated with scholars based in Germany, Switzerland and Hungary. Frequent co-authors include Hans‐Georg Schweiger, Hiroshi Yamagata, N H Chua, Chris Bowler, Germán Spangenberg, Ortrun Mittelsten Scheid, Gabriele Neuhaus-Url, Thomas Merkle, Volker Speth and Christiane Fischer. Their work appears in journals such as Proceedings of the National Academy of Sciences, Genes & Development and The EMBO Journal.
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.