Michiel Lammers

1.5k total citations
16 papers, 1.1k citations indexed

About

Michiel Lammers is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Michiel Lammers has authored 16 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Plant Science, 12 papers in Molecular Biology and 1 paper in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Michiel Lammers's work include Plant Molecular Biology Research (10 papers), Plant Reproductive Biology (5 papers) and Plant Gene Expression Analysis (4 papers). Michiel Lammers is often cited by papers focused on Plant Molecular Biology Research (10 papers), Plant Reproductive Biology (5 papers) and Plant Gene Expression Analysis (4 papers). Michiel Lammers collaborates with scholars based in Netherlands, United States and Germany. Michiel Lammers's co-authors include Ruud A. de Maagd, Gerco C. Angenent, Arnaud Bovy, Rumyana Karlova, Chris Maliepaard, Rufang Wang, Jacqueline Busscher‐Lange, Adriana Pinheiro Martinelli, Henri van de Geest and Jan C. van Haarst and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Michiel Lammers

15 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michiel Lammers Netherlands 12 989 750 143 52 28 16 1.1k
А. В. Щенникова Russia 14 1.2k 1.2× 995 1.3× 90 0.6× 52 1.0× 27 1.0× 99 1.3k
Marco Fambrini Italy 22 1.1k 1.1× 867 1.2× 153 1.1× 89 1.7× 76 2.7× 90 1.3k
Sagheer Ahmad China 17 622 0.6× 680 0.9× 144 1.0× 85 1.6× 28 1.0× 76 922
Corinne Audran France 17 1.5k 1.5× 854 1.1× 86 0.6× 47 0.9× 29 1.0× 21 1.6k
Qionghou Li China 13 771 0.8× 781 1.0× 80 0.6× 35 0.7× 72 2.6× 27 1.1k
Yoshimi Oshima Japan 17 814 0.8× 738 1.0× 46 0.3× 28 0.5× 32 1.1× 29 1.0k
Yuefeng Guan China 21 1.8k 1.8× 1.3k 1.7× 144 1.0× 26 0.5× 62 2.2× 42 2.1k
Kanji Isuzugawa Japan 13 591 0.6× 502 0.7× 62 0.4× 35 0.7× 20 0.7× 24 723
Xinqiang Jiang China 14 730 0.7× 541 0.7× 37 0.3× 28 0.5× 32 1.1× 43 864
Jiong Gao China 16 1.3k 1.3× 928 1.2× 50 0.3× 56 1.1× 33 1.2× 23 1.4k

Countries citing papers authored by Michiel Lammers

Since Specialization
Citations

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

Fields of papers citing papers by Michiel Lammers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michiel Lammers

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

All Works

16 of 16 papers shown
1.
Ramı́rez-Chávez, Enrique, Michiel Lammers, Ruud A. de Maagd, et al.. (2025). Interactions Between the Transcription Factor BOL/DRNL/ESR2 and the Jasmonate Pathway. Plants. 14(12). 1757–1757.
2.
Gautrat, Pierre, et al.. (2024). Phytochrome-dependent responsiveness to root-derived cytokinins enables coordinated elongation responses to combined light and nitrate cues. Nature Communications. 15(1). 8489–8489. 2 indexed citations
3.
Lammers, Michiel, et al.. (2023). High-throughput sgRNA testing reveals rules for Cas9 specificity and DNA repair in tomato cells. SHILAP Revista de lepidopterología. 5. 1196763–1196763. 10 indexed citations
4.
Lammers, Michiel, Jos Molthoff, Yury Tikunov, et al.. (2022). Phenotyping of a diverse tomato collection for postharvest shelf-life. Postharvest Biology and Technology. 188. 111908–111908. 10 indexed citations
5.
Maagd, Ruud A. de, Michiel Lammers, Jos Molthoff, et al.. (2020). Exploration of a Resequenced Tomato Core Collection for Phenotypic and Genotypic Variation in Plant Growth and Fruit Quality Traits. Genes. 11(11). 1278–1278. 36 indexed citations
6.
Wang, Rufang, Michiel Lammers, Yury Tikunov, et al.. (2020). The rin, nor and Cnr spontaneous mutations inhibit tomato fruit ripening in additive and epistatic manners. Plant Science. 294. 110436–110436. 72 indexed citations
7.
Wang, Rufang, et al.. (2019). Re-evaluation of transcription factor function in tomato fruit development and ripening with CRISPR/Cas9-mutagenesis. Scientific Reports. 9(1). 1696–1696. 142 indexed citations
8.
Verhage, Leonie, Edouard Severing, Johan Bucher, et al.. (2017). Splicing-related genes are alternatively spliced upon changes in ambient temperatures in plants. PLoS ONE. 12(3). e0172950–e0172950. 51 indexed citations
9.
Busscher, Marco, Jacqueline Busscher‐Lange, Michiel Lammers, et al.. (2014). Identification, cloning and characterization of the tomato TCP transcription factor family. BMC Plant Biology. 14(1). 157–157. 155 indexed citations
10.
Visser, P.H.B. de, E. Heuvelink, Michiel Lammers, et al.. (2014). A multilevel analysis of fruit growth of two tomato cultivars in response to fruit temperature. Physiologia Plantarum. 153(3). 403–418. 13 indexed citations
11.
Roldán, Maria Victoria Gómez, Nikolay S. Outchkourov, Adèle van Houwelingen, et al.. (2014). An O‐methyltransferase modifies accumulation of methylated anthocyanins in seedlings of tomato. The Plant Journal. 80(4). 695–708. 46 indexed citations
12.
Heuvelink, E., P.H.B. de Visser, Michiel Lammers, et al.. (2014). Fruit illumination stimulates cell division but has no detectable effect on fruit size in tomato (Solanum lycopersicum). Physiologia Plantarum. 154(1). 114–127. 12 indexed citations
13.
Karlova, Rumyana, Jan C. van Haarst, Chris Maliepaard, et al.. (2013). Identification of microRNA targets in tomato fruit development using high-throughput sequencing and degradome analysis. Journal of Experimental Botany. 64(7). 1863–1878. 186 indexed citations
14.
Kohlen, Wouter, Tatsiana Charnikhova, Michiel Lammers, et al.. (2012). The tomato CAROTENOID CLEAVAGE DIOXYGENASE8 (SlCCD8) regulates rhizosphere signaling, plant architecture and affects reproductive development through strigolactone biosynthesis. New Phytologist. 196(2). 535–547. 216 indexed citations
15.
Passarinho, Paul, Tijs Ketelaar, Meiqing Xing, et al.. (2008). BABY BOOM target genes provide diverse entry points into cell proliferation and cell growth pathways. Plant Molecular Biology. 68(3). 225–237. 95 indexed citations
16.
Joosen, Ronny V.L., Jan Cordewener, Ence Darmo Jaya Supena, et al.. (2007). Combined Transcriptome and Proteome Analysis Identifies Pathways and Markers Associated with the Establishment of Rapeseed Microspore-Derived Embryo Development. PLANT PHYSIOLOGY. 144(1). 155–172. 86 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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