Christoph Weiste

2.5k citations
20 papers · 1.7k indexed · 1 hit paper · h-index 16
Topics
Plant Molecular Biology Research (17 papers)Plant nutrient uptake and metabolism (10 papers)Plant Gene Expression Analysis (6 papers)
Partner nations
GermanySwedenSpain

In The Last Decade

Christoph Weiste

20 papers receiving 1.7k citations

Hit Papers

The Arabidopsis bZIP transcription factor family — an update20182026202020232018100200300400

Peers

Christoph Weiste
Comparison fields: 5 of 57
  • Plant Science 1.6k
  • Molecular Biology 1.1k
  • Biochemistry 41
  • Ecology, Evolution, Behavior and Systematics 36
  • Food Science 33
Replace Mohammed Nuruzzaman with:
Mohammed Nuruzzaman Japan
Qiantang Fu China
Hiroyasu Kitashiba Japan
Renchun Fan China
Jianzhong Lin China
Qingjun Xie China
Rifei Sun China
Gah‐Hyun Lim South Korea
Teerapong Buaboocha Thailand
Margarita Rodríguez‐Kessler Mexico
Christoph Weiste relative to Mohammed Nuruzzaman Japan Mohammed Nuruzzaman's profile →
Citations per field
00.5×1.5×2.0×
Mohammed Nuruzzaman · 1×
Citations per year

Countries citing papers authored by Christoph Weiste

Since Specialization
Citations

This map shows the geographic impact of Christoph Weiste'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 Christoph Weiste with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christoph Weiste more than expected).

Fields of papers citing papers by Christoph Weiste

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christoph Weiste. 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 Christoph Weiste. The network helps show where Christoph Weiste may publish in the future.

Co-authorship network of co-authors of Christoph Weiste

This figure shows the co-authorship network connecting the top 25 collaborators of Christoph Weiste. A scholar is included among the top collaborators of Christoph Weiste 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 Christoph Weiste. Christoph Weiste is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 3
3 9
4 51
5 63
6 36
7 21
8 132
9
The Arabidopsis bZIP transcription factor family — an updatebreakdown →
405
10 94
11 1
12 111
13 15
14 19
15 203
16 130
17 148
18 69
19 166
20 51

About Christoph Weiste

Christoph Weiste is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics, having authored 20 papers that have together received 1.7k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (17 papers), Plant nutrient uptake and metabolism (10 papers) and Plant Gene Expression Analysis (6 papers). The work is most often cited by research in Plant Science (1.6k citations), Molecular Biology (1.1k citations) and Biochemistry (41 citations). Christoph Weiste has collaborated with scholars based in Germany, Sweden and Spain. Frequent co-authors include Wolfgang Dröge‐Laser, Basten L. Snoek, ‎Berend Snel, Katrin Dietrich, Lorenzo Pedrotti, Johannes Hanson, Klaus Harter, Andrea Mair, Markus Teige and Elena Baena–González. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

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.

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