Markus Schmid

23.9k total citations · 7 hit papers
90 papers, 14.2k citations indexed

About

Markus Schmid is a scholar working on Molecular Biology, Plant Science and Cell Biology. According to data from OpenAlex, Markus Schmid has authored 90 papers receiving a total of 14.2k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Molecular Biology, 62 papers in Plant Science and 6 papers in Cell Biology. Recurrent topics in Markus Schmid's work include Plant Molecular Biology Research (58 papers), Plant Reproductive Biology (33 papers) and Photosynthetic Processes and Mechanisms (22 papers). Markus Schmid is often cited by papers focused on Plant Molecular Biology Research (58 papers), Plant Reproductive Biology (33 papers) and Photosynthetic Processes and Mechanisms (22 papers). Markus Schmid collaborates with scholars based in Germany, Sweden and United States. Markus Schmid's co-authors include Detlef Weigel, Jan U. Lohmann, Johannes Mathieu, Monika Demar, Levi Yant, Peter Huijser, Stefan R. Henz, Timothy S. Davison, Utz Johann Pape and Martin Vingron and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Markus Schmid

87 papers receiving 14.0k citations

Hit Papers

A gene expression map of Arabidopsis thaliana development 2005 2026 2012 2019 2005 2005 2005 2011 2013 500 1000 1.5k 2.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A gene expression map of Arabidopsis thaliana development
    2005 2.0k citations Markus Schmid, Detlef Weigel et al. profile →
  2. Specific Effects of MicroRNAs on the Plant Transcriptome
    2005 1.2k citations Rebecca Schwab, Javier F. Palatnik et al. Developmental Cell profile →
  3. Integration of Spatial and Temporal Information During Floral Induction in Arabidopsis
    2005 1.2k citations Philip A. Wigge, Min Chul Kim et al. Science profile →
  4. Regulation of flowering time: all roads lead to Rome
    2011 758 citations Markus Schmid et al. profile →
  5. Regulation of Flowering by Trehalose-6-Phosphate Signaling in Arabidopsis thaliana
    2013 560 citations Vanessa Wahl, Jathish Ponnu et al. Science profile →
  6. The control of developmental phase transitions in plants
    2011 492 citations Markus Schmid et al. profile →
  7. A circRNA from SEPALLATA3 regulates splicing of its cognate mRNA through R-loop formation
    2017 460 citations Markus Schmid et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Markus Schmid Germany 52 11.9k 10.5k 662 523 520 90 14.2k
Xiaofeng Cao China 70 13.6k 1.1× 10.3k 1.0× 1.1k 1.7× 225 0.4× 446 0.9× 200 16.7k
R. Scott Poethig United States 60 13.6k 1.1× 10.6k 1.0× 683 1.0× 764 1.5× 360 0.7× 111 14.9k
Craig S. Pikaard United States 65 10.1k 0.9× 9.0k 0.9× 864 1.3× 367 0.7× 313 0.6× 135 13.2k
Suhua Feng United States 57 9.4k 0.8× 10.2k 1.0× 1.8k 2.7× 360 0.7× 341 0.7× 94 14.8k
Robert J. Schmitz United States 61 9.5k 0.8× 7.9k 0.8× 1.8k 2.7× 435 0.8× 250 0.5× 173 13.2k
Anireddy S. N. Reddy United States 62 8.5k 0.7× 8.5k 0.8× 383 0.6× 269 0.5× 358 0.7× 231 12.4k
Blake C. Meyers United States 80 18.7k 1.6× 11.1k 1.1× 1.4k 2.1× 572 1.1× 1.3k 2.5× 269 22.3k
Yijun Qi China 54 9.3k 0.8× 5.7k 0.5× 530 0.8× 189 0.4× 862 1.7× 98 11.3k
Mark Estelle United States 85 25.6k 2.2× 19.9k 1.9× 600 0.9× 971 1.9× 177 0.3× 156 28.9k
Qi Xie China 65 14.1k 1.2× 9.3k 0.9× 756 1.1× 544 1.0× 92 0.2× 189 16.6k

Countries citing papers authored by Markus Schmid

Since Specialization
Citations

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

Fields of papers citing papers by Markus Schmid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Schmid

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Schmid. A scholar is included among the top collaborators of Markus Schmid 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 Markus Schmid. Markus Schmid 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.
Cheng, Chia‐Yi, Markus Schmid, Dierk Wanke, et al.. (2025). Role of BASIC PENTACYSTEINE transcription factors in a subset of cytokinin signaling responses. UNC Libraries.
2.
Nardeli, Sarah Muniz, et al.. (2024). The Arabidopsis splicing factor PORCUPINE/SmE1 orchestrates temperature‐dependent root development via auxin homeostasis maintenance. New Phytologist. 244(4). 1408–1421. 2 indexed citations
3.
Zacharaki, Vasiliki, Jathish Ponnu, Nathalie Crépin, et al.. (2022). Impaired KIN10 function restores developmental defects in the Arabidopsis trehalose 6‐phosphate synthase1 (tps1) mutant. New Phytologist. 235(1). 220–233. 36 indexed citations
4.
Mateos, Julieta L., Sabrina E. Sánchez, Martina Legris, et al.. (2022). PICLN modulates alternative splicing and light/temperature responses in plants. PLANT PHYSIOLOGY. 191(2). 1036–1051. 6 indexed citations
5.
Goretti, Daniela, et al.. (2022). FLOWERING LOCUS T paralogs control the annual growth cycle in Populus trees. Current Biology. 32(13). 2988–2996.e4. 52 indexed citations
6.
Weiste, Christoph, Silvio Collani, Markus Krischke, et al.. (2021). Perturbations in plant energy homeostasis prime lateral root initiation via SnRK1-bZIP63-ARF19 signaling. Proceedings of the National Academy of Sciences. 118(37). 51 indexed citations
7.
Rojas-Murcia, Nelson, et al.. (2021). Insights into the role of alternative splicing in plant temperature response. Journal of Experimental Botany. 29 indexed citations
8.
Brunoni, Federica, Silvio Collani, Rubén Casanova‐Sáez, et al.. (2020). Conifers exhibit a characteristic inactivation of auxin to maintain tissue homeostasis. New Phytologist. 226(6). 1753–1765. 35 indexed citations
9.
Brunoni, Federica, Silvio Collani, Jan Šimura, et al.. (2019). A bacterial assay for rapid screening of IAA catabolic enzymes. Plant Methods. 15(1). 126–126. 12 indexed citations
10.
Hajný, Jakub, Wim Grunewald, Mina Vasileva, et al.. (2018). WRKY23 is a component of the transcriptional network mediating auxin feedback on PIN polarity. PLoS Genetics. 14(1). e1007177–e1007177. 59 indexed citations
11.
Pfeiffer, Anne, Yihan Dong, Anna Medzihradszky, et al.. (2016). Integration of light and metabolic signals for stem cell activation at the shoot apical meristem. eLife. 5. 166 indexed citations
12.
Galvão, Vinícius Costa, Silvio Collani, Daniel Horrer, & Markus Schmid. (2015). Gibberellic acid signaling is required for ambient temperature‐mediated induction of flowering in Arabidopsis thaliana. The Plant Journal. 84(5). 949–962. 55 indexed citations
13.
Lee, Jeong Hwan, et al.. (2013). Regulation of Temperature-Responsive Flowering by MADS-Box Transcription Factor Repressors. Science. 342(6158). 628–632. 290 indexed citations
14.
Wahl, Vanessa, Jathish Ponnu, Armin Schlereth, et al.. (2013). Regulation of Flowering by Trehalose-6-Phosphate Signaling in Arabidopsis thaliana. Science. 339(6120). 704–707. 560 indexed citations breakdown →
15.
Yu, Sha, Vinícius Costa Galvão, Yanchun Zhang, et al.. (2012). Gibberellin Regulates the Arabidopsis Floral Transition through miR156-Targeted SQUAMOSA PROMOTER BINDING–LIKE Transcription Factors. The Plant Cell. 24(8). 3320–3332. 354 indexed citations
16.
Moyroud, Edwige, Eugenio G. Minguet, Felix Ott, et al.. (2011). Prediction of Regulatory Interactions from Genome Sequences Using a Biophysical Model for the Arabidopsis LEAFY Transcription Factor  . The Plant Cell. 23(4). 1293–1306. 135 indexed citations
17.
Yant, Levi, Johannes Mathieu, Thanh Theresa Dinh, et al.. (2010). Orchestration of the Floral Transition and Floral Development in Arabidopsis by the Bifunctional Transcription Factor APETALA2  . The Plant Cell. 22(7). 2156–2170. 397 indexed citations
18.
Wigge, Philip A., Min Chul Kim, Katja E. Jaeger, et al.. (2005). Integration of Spatial and Temporal Information During Floral Induction in Arabidopsis. Science. 309(5737). 1056–1059. 1158 indexed citations breakdown →
19.
Schwab, Rebecca, Javier F. Palatnik, Markus Riester, et al.. (2005). Specific Effects of MicroRNAs on the Plant Transcriptome. Developmental Cell. 8(4). 517–527. 1214 indexed citations breakdown →
20.
Schümann, Uwe, Christine Gietl, & Markus Schmid. (1999). Sequence Analysis of a cDNA Encoding Pex10p, a Zinc-binding Peroxisomal Integral Membrane Protein from Arabidopsis thaliana (Accession No. AF119572). (PGR99-025).. PLANT PHYSIOLOGY. 119(3). 1147–1147. 8 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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