Frans E. Tax

7.6k citations
53 papers · 5.8k indexed · 1 hit paper · h-index 32
Topics
Plant Molecular Biology Research (38 papers)Plant Reproductive Biology (29 papers)Plant nutrient uptake and metabolism (10 papers)
Partner nations
United StatesJapanChina

In The Last Decade

Frans E. Tax

53 papers receiving 5.7k citations

Hit Papers

BAK1, an Arabidopsis LRR Receptor-like Protein Kinase, In...200220262010201820022505007501000

Peers

Frans E. Tax
Comparison fields: 5 of 105
  • Plant Science 5.0k
  • Molecular Biology 3.6k
  • Genetics 216
  • Aging 210
  • Cell Biology 139
Replace Stefan R. Henz with:
Stefan R. Henz Germany
Yan Zou China
Zhongchi Liu United States
Sang‐Gyu Kim South Korea
Dionne Vafeados United States
Wan-Ling Chiu United States
Shing F. Kwok United States
S. Christensen United States
Martin Regenass Switzerland
Vicki L. Chandler United States
Frans E. Tax relative to Stefan R. Henz Germany Stefan R. Henz's profile →
Citations per field
00.5×3.0×
Stefan R. Henz · 1×
Citations per year

Countries citing papers authored by Frans E. Tax

Since Specialization
Citations

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

Fields of papers citing papers by Frans E. Tax

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frans E. Tax. 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 Frans E. Tax. The network helps show where Frans E. Tax may publish in the future.

Co-authorship network of co-authors of Frans E. Tax

This figure shows the co-authorship network connecting the top 25 collaborators of Frans E. Tax. A scholar is included among the top collaborators of Frans E. Tax 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 Frans E. Tax. Frans E. Tax 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 30
2 5
3 10
4 13
5 54
6 48
7 18
8 4
9 370
10 35
11 173
12 137
13 162
14
BAK1, an Arabidopsis LRR Receptor-like Protein Kinase, Interacts with BRI1 and Modulates Brassinosteroid Signalingbreakdown →
1146
15 120
16 309
17 146
18 126
19 370
20 221

About Frans E. Tax

Frans E. Tax is a scholar working on Aging, Plant Science and Molecular Biology, having authored 53 papers that have together received 5.8k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (38 papers), Plant Reproductive Biology (29 papers) and Plant nutrient uptake and metabolism (10 papers). The work is most often cited by research in Plant Science (5.0k citations), Aging (210 citations) and Molecular Biology (3.6k citations). Frans E. Tax has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Jia Li, John C. Walker, Kevin A. Lease, Kenneth A. Feldmann, Jiangqi Wen, Shozo Fujioka, Suguru Takatsuto, Shigeo Yoshida, Sunghwa Choe and Takahiro Noguchi. Their work appears in journals such as Nature, Cell 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.

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