Christoph Weiste

2.5k total citations · 1 hit paper
20 papers, 1.7k citations indexed

About

Christoph Weiste is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Christoph Weiste has authored 20 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Plant Science, 13 papers in Molecular Biology and 1 paper in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Christoph Weiste's work include Plant Molecular Biology Research (17 papers), Plant nutrient uptake and metabolism (10 papers) and Plant Gene Expression Analysis (6 papers). Christoph Weiste is often cited by papers focused on Plant Molecular Biology Research (17 papers), Plant nutrient uptake and metabolism (10 papers) and Plant Gene Expression Analysis (6 papers). Christoph Weiste collaborates with scholars based in Germany, Sweden and Spain. Christoph Weiste's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Christoph Weiste

20 papers receiving 1.7k citations

Hit Papers

The Arabidopsis bZIP transcription factor family — an update 2018 2026 2020 2023 2018 100 200 300 400

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
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Qiantang Fu China
Mohammed Nuruzzaman Japan
Guohong Mao United States
Mariola Piślewska‐Bednarek Poland
Friederike Bernsdorff Germany
Renchun Fan China
Gah‐Hyun Lim South Korea
Heejin Yoo United States
Bernard Grausem France
Satya Swathi Nadakuduti United States
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Citations per field, relative to Christoph Weiste
Christoph Weiste · 1×
Citations per year, relative to Christoph Weiste
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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
# Work Indexed 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 update breakdown →
405
10 94
11 1
12 111
13 15
14 19
15 203
16 130
17 148
18 69
19 166
20 51

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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