Boas Pucker

3.0k total citations
70 papers, 1.4k citations indexed

About

Boas Pucker is a scholar working on Molecular Biology, Plant Science and Food Science. According to data from OpenAlex, Boas Pucker has authored 70 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Molecular Biology, 31 papers in Plant Science and 9 papers in Food Science. Recurrent topics in Boas Pucker's work include Plant Gene Expression Analysis (23 papers), Plant biochemistry and biosynthesis (22 papers) and Genomics and Phylogenetic Studies (15 papers). Boas Pucker is often cited by papers focused on Plant Gene Expression Analysis (23 papers), Plant biochemistry and biosynthesis (22 papers) and Genomics and Phylogenetic Studies (15 papers). Boas Pucker collaborates with scholars based in Germany, United Kingdom and United States. Boas Pucker's co-authors include Bernd Weißhaar, Ralf Stracke, Samuel F. Brockington, Daniela Holtgräwe, Hanna Marie Schilbert, Tao Feng, Ashutosh Pandey, Thomas Rosleff Sörensen, Dirk Selmar and Nathanael Walker‐Hale and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Boas Pucker

69 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Boas Pucker Germany 23 917 704 216 168 116 70 1.4k
Samuel Bocobza Israel 16 1.0k 1.1× 906 1.3× 288 1.3× 60 0.4× 54 0.5× 28 1.6k
Fiammetta Alagna Italy 19 660 0.7× 667 0.9× 145 0.7× 141 0.8× 110 0.9× 36 1.2k
Jie Ren China 19 806 0.9× 862 1.2× 230 1.1× 64 0.4× 203 1.8× 73 1.4k
Kyong-Hwan Bang South Korea 20 1.1k 1.3× 711 1.0× 238 1.1× 225 1.3× 43 0.4× 101 1.5k
Shengrui Liu China 24 701 0.8× 828 1.2× 219 1.0× 61 0.4× 186 1.6× 56 1.5k
Thomas Nothnagel Germany 17 519 0.6× 561 0.8× 139 0.6× 65 0.4× 167 1.4× 50 934
Hoe‐Han Goh Malaysia 19 639 0.7× 696 1.0× 85 0.4× 104 0.6× 42 0.4× 91 1.2k
Zhongkui Sun China 7 688 0.8× 748 1.1× 116 0.5× 228 1.4× 166 1.4× 10 1.2k
Gaojie Hong China 25 1.9k 2.1× 2.0k 2.9× 104 0.5× 166 1.0× 165 1.4× 52 3.1k
Suk Weon Kim South Korea 18 711 0.8× 642 0.9× 100 0.5× 85 0.5× 47 0.4× 98 1.1k

Countries citing papers authored by Boas Pucker

Since Specialization
Citations

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

Fields of papers citing papers by Boas Pucker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Boas Pucker

This figure shows the co-authorship network connecting the top 25 collaborators of Boas Pucker. A scholar is included among the top collaborators of Boas Pucker 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 Boas Pucker. Boas Pucker 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
1.
Pucker, Boas, et al.. (2025). Mapping-based genome size estimation. BMC Genomics. 26(1). 482–482. 2 indexed citations
2.
Deng, Cecilia, Christine G. Elsik, Damarius S. Fleming, et al.. (2025). Data reuse in agricultural genomics research: challenges and recommendations. GigaScience. 14. 5 indexed citations
3.
Wolff, Katharina & Boas Pucker. (2025). Dark side of anthocyanin pigmentation. Plant Biology. 27(6). 935–947. 1 indexed citations
4.
Pucker, Boas, et al.. (2024). Metabolic fingerprinting reveals roles of Arabidopsis thaliana BGLU1, BGLU3, and BGLU4 in glycosylation of various flavonoids. Phytochemistry. 231. 114338–114338. 2 indexed citations
5.
Albert, Nick W., Massimo Iorizzo, Molla F. Mengist, et al.. (2023). Vaccinium as a comparative system for understanding of complex flavonoid accumulation profiles and regulation in fruit. PLANT PHYSIOLOGY. 192(3). 1696–1710. 15 indexed citations
6.
Feng, Tao, Boas Pucker, Bo Song, et al.. (2023). The genome of the glasshouse plant noble rhubarb (Rheum nobile) provides a window into alpine adaptation. Communications Biology. 6(1). 14 indexed citations
7.
Pucker, Boas, Nathanael Walker‐Hale, Won Cheol Yim, et al.. (2023). Multiple mechanisms explain loss of anthocyanins from betalain‐pigmented Caryophyllales, including repeated wholesale loss of a key anthocyanidin synthesis enzyme. New Phytologist. 241(1). 471–489. 22 indexed citations
8.
Naik, Jogindra, Shivi Tyagi, Boas Pucker, et al.. (2023). Flavonols affect the interrelated glucosinolate and camalexin biosynthetic pathways in Arabidopsis thaliana. Journal of Experimental Botany. 75(1). 219–240. 4 indexed citations
9.
Bartas, Martin, et al.. (2023). Identification of annotation artifacts concerning the chalcone synthase (CHS). BMC Research Notes. 16(1). 109–109. 3 indexed citations
10.
Pucker, Boas, et al.. (2023). Genomic and transcriptomic analysis of camptothecin producing novel fungal endophyte: Alternaria burnsii NCIM 1409. Scientific Reports. 13(1). 14614–14614. 7 indexed citations
11.
Hotop, Sven‐Kevin, Federico Bertoglio, Stephan Steinke, et al.. (2022). ORFeome Phage Display Reveals a Major Immunogenic Epitope on the S2 Subdomain of SARS-CoV-2 Spike Protein. Viruses. 14(6). 1326–1326. 8 indexed citations
13.
Lee, Tak, Boas Pucker, Giles Oldroyd, et al.. (2021). A mycorrhiza-associated receptor-like kinase with an ancient origin in the green lineage. Proceedings of the National Academy of Sciences. 118(25). 19 indexed citations
14.
Chibani, Kamel, Boas Pucker, Karl‐Josef Dietz, & Amanda P. Cavanagh. (2021). Genome‐wide analysis and transcriptional regulation of the typical and atypical thioredoxins in Arabidopsis thaliana. FEBS Letters. 595(21). 2715–2730. 35 indexed citations
15.
Xu, Bo, Lin Taylor, Boas Pucker, et al.. (2020). The land plant‐specific MIXTA‐MYB lineage is implicated in the early evolution of the plant cuticle and the colonization of land. New Phytologist. 229(4). 2324–2338. 37 indexed citations
16.
Lee, Tak, Jungnam Cho, Boas Pucker, et al.. (2020). The negative regulator SMAX1 controls mycorrhizal symbiosis and strigolactone biosynthesis in rice. Nature Communications. 11(1). 2114–2114. 90 indexed citations
17.
Pucker, Boas, Sarah Becker, Ludger Hausmann, et al.. (2020). RNA-Seq Time Series of Vitis vinifera Bud Development Reveals Correlation of Expression Patterns with the Local Temperature Profile. Plants. 9(11). 1548–1548. 5 indexed citations
18.
Pucker, Boas, et al.. (2019). Integrating Molecular Biology and Bioinformatics Education. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 16(3). 20 indexed citations
19.
Timoneda, Alfonso, Tao Feng, Hester Sheehan, et al.. (2019). The evolution of betalain biosynthesis in Caryophyllales. New Phytologist. 224(1). 71–85. 122 indexed citations
20.
Sheehan, Hester, Tao Feng, Nathanael Walker‐Hale, et al.. (2019). Evolution of lDOPA 4,5‐dioxygenase activity allows for recurrent specialisation to betalain pigmentation in Caryophyllales. New Phytologist. 227(3). 914–929. 48 indexed citations

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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