Thomas Dresselhaus

10.0k total citations
123 papers, 6.1k citations indexed

About

Thomas Dresselhaus is a scholar working on Molecular Biology, Plant Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Thomas Dresselhaus has authored 123 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 110 papers in Molecular Biology, 105 papers in Plant Science and 14 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Thomas Dresselhaus's work include Plant Molecular Biology Research (83 papers), Plant Reproductive Biology (82 papers) and Photosynthetic Processes and Mechanisms (31 papers). Thomas Dresselhaus is often cited by papers focused on Plant Molecular Biology Research (83 papers), Plant Reproductive Biology (82 papers) and Photosynthetic Processes and Mechanisms (31 papers). Thomas Dresselhaus collaborates with scholars based in Germany, China and United States. Thomas Dresselhaus's co-authors include Mihaela L. Márton, Stefanie Sprunck, Vernonica E. Franklin‐Tong, Horst Lörz, Kevin Begcy, Erhard Kranz, Andrea Bleckmann, Liang‐Zi Zhou, Li‐Jia Qu and Junyi Chen and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Thomas Dresselhaus

122 papers receiving 6.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Dresselhaus Germany 46 5.0k 4.7k 1.3k 393 139 123 6.1k
Therese Mitros United States 15 3.3k 0.7× 3.3k 0.7× 465 0.4× 694 1.8× 252 1.8× 16 5.6k
Celestina Mariani Netherlands 40 4.6k 0.9× 3.8k 0.8× 690 0.5× 315 0.8× 76 0.5× 80 5.5k
H. G. Dickinson United Kingdom 56 7.1k 1.4× 7.0k 1.5× 2.7k 2.1× 751 1.9× 105 0.8× 183 9.0k
Alice Y. Cheung United States 52 7.5k 1.5× 7.3k 1.5× 1.1k 0.9× 210 0.5× 46 0.3× 104 8.8k
Markus Schmid Germany 52 11.9k 2.4× 10.5k 2.2× 523 0.4× 662 1.7× 210 1.5× 90 14.2k
Elizabeth M. Lord United States 42 4.2k 0.8× 3.9k 0.8× 1.8k 1.5× 169 0.4× 46 0.3× 129 5.4k
Foo Cheung United States 25 2.9k 0.6× 2.3k 0.5× 289 0.2× 579 1.5× 101 0.7× 33 4.5k
Mitsuyasu Hasebe Japan 54 5.5k 1.1× 5.0k 1.1× 2.5k 2.0× 435 1.1× 37 0.3× 155 8.0k
Steven E. Clark United States 35 8.0k 1.6× 6.8k 1.4× 386 0.3× 213 0.5× 144 1.0× 58 8.5k
Zachary B. Lippman United States 38 8.4k 1.7× 7.1k 1.5× 360 0.3× 2.0k 5.0× 192 1.4× 56 10.4k

Countries citing papers authored by Thomas Dresselhaus

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Dresselhaus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Dresselhaus

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Dresselhaus. A scholar is included among the top collaborators of Thomas Dresselhaus 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 Thomas Dresselhaus. Thomas Dresselhaus 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.
Zheng, Xixi, et al.. (2024). Widespread application of apomixis in agriculture requires further study of natural apomicts. iScience. 27(9). 110720–110720. 7 indexed citations
2.
Begcy, Kevin, et al.. (2024). Maize stigmas react differently to self- and cross-pollination and fungal invasion. PLANT PHYSIOLOGY. 196(4). 3071–3090. 3 indexed citations
3.
Gong, Wen, Mhaned Oubounyt, Jan Baumbach, & Thomas Dresselhaus. (2024). Heat-stress-induced ROS in maize silks cause late pollen tube growth arrest and sterility. iScience. 27(7). 110081–110081. 12 indexed citations
4.
Cai, Hanyang, Youmei Huang, Liping Liu, et al.. (2023). Signaling by the EPFL-ERECTA family coordinates female germline specification through the BZR1 family in Arabidopsis. The Plant Cell. 35(5). 1455–1473. 18 indexed citations
5.
Doll, Nicolas M., Liang‐Zi Zhou, Freya De Winter, et al.. (2022). KIL1 terminates fertility in maize by controlling silk senescence. The Plant Cell. 34(8). 2852–2870. 24 indexed citations
6.
Li, Wenqiang, Luxi Wang, Jiali Yan, et al.. (2022). Three types of genes underlying the Gametophyte factor1 locus cause unilateral cross incompatibility in maize. Nature Communications. 13(1). 4498–4498. 16 indexed citations
7.
Liu, Meiling, Zhijuan Wang, Saiying Hou, et al.. (2021). AtLURE1/PRK6-mediated signaling promotes conspecific micropylar pollen tube guidance. PLANT PHYSIOLOGY. 186(2). 865–873. 13 indexed citations
8.
Li, Wenhao, Qiyun Li, Zhijuan Wang, et al.. (2021). Lack of ethylene does not affect reproductive success and synergid cell death in Arabidopsis. Molecular Plant. 15(2). 354–362. 28 indexed citations
9.
Deforges, Jules, Kevin Begcy, Astrid Bruckmann, et al.. (2020). Critical Role of Transcript Cleavage in Arabidopsis RNA Polymerase II Transcriptional Elongation. The Plant Cell. 32(5). 1449–1463. 27 indexed citations
10.
Flores‐Tornero, María, Lele Wang, David Potěšil, et al.. (2020). Comparative analyses of angiosperm secretomes identify apoplastic pollen tube functions and novel secreted peptides. Plant Reproduction. 34(1). 47–60. 4 indexed citations
11.
Zhong, Sheng, Meiling Liu, Zhijuan Wang, et al.. (2019). Cysteine-rich peptides promote interspecific genetic isolation in Arabidopsis. Science. 364(6443). 105 indexed citations
12.
Robert, Hélène S., Chulmin Park, Barbara Wójcikowska, et al.. (2018). Maternal auxin supply contributes to early embryo patterning in Arabidopsis. Nature Plants. 4(8). 548–553. 127 indexed citations
13.
Kalinowska, Kamila, Dmitri Demidov, Inna Lermontová, et al.. (2018). State-of-the-art and novel developments of in vivo haploid technologies. Theoretical and Applied Genetics. 132(3). 593–605. 88 indexed citations
14.
Mondragón‐Palomino, Mariana, et al.. (2017). Similarities between Reproductive and Immune Pistil Transcriptomes of Arabidopsis Species. PLANT PHYSIOLOGY. 174(3). 1559–1575. 21 indexed citations
15.
Chen, Junyi, Nicholas Strieder, Nádia Graciele Krohn, et al.. (2017). Zygotic Genome Activation Occurs Shortly after Fertilization in Maize. The Plant Cell. 29(9). 2106–2125. 125 indexed citations
16.
Mosiołek, Magdalena, et al.. (2016). Sensitive whole mount in situ localization of small RNA s in plants. The Plant Journal. 88(4). 694–702. 13 indexed citations
17.
Dresselhaus, Thomas, et al.. (2016). Why cellular communication during plant reproduction is particularly mediated by CRP signalling. Journal of Experimental Botany. 67(16). 4849–4861. 43 indexed citations
18.
Sprunck, Stefanie, et al.. (2012). Egg Cell–Secreted EC1 Triggers Sperm Cell Activation During Double Fertilization. Science. 338(6110). 1093–1097. 235 indexed citations
19.
Völz, Ronny, et al.. (2011). LACHESIS -dependent egg-cell signaling regulates the development of female gametophytic cells. Development. 139(3). 498–502. 33 indexed citations
20.
Márton, Mihaela L., et al.. (2005). Micropylar Pollen Tube Guidance by Egg Apparatus 1 of Maize. Science. 307(5709). 573–576. 247 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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