Heike Wollmann

3.1k total citations
23 papers, 1.7k citations indexed

About

Heike Wollmann is a scholar working on Molecular Biology, Plant Science and Epidemiology. According to data from OpenAlex, Heike Wollmann has authored 23 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 10 papers in Plant Science and 2 papers in Epidemiology. Recurrent topics in Heike Wollmann's work include Plant Molecular Biology Research (10 papers), Genomics and Chromatin Dynamics (7 papers) and Epigenetics and DNA Methylation (6 papers). Heike Wollmann is often cited by papers focused on Plant Molecular Biology Research (10 papers), Genomics and Chromatin Dynamics (7 papers) and Epigenetics and DNA Methylation (6 papers). Heike Wollmann collaborates with scholars based in Singapore, United States and Germany. Heike Wollmann's co-authors include Detlef Weigel, Felix Ott, Markus Schmid, Thanh Theresa Dinh, Johannes Mathieu, Levi Yant, Christa Lanz, Xuemei Chen, Frédéric Berger and Jeff A. Long and has published in prestigious journals such as Nature Communications, Nature Genetics and Genes & Development.

In The Last Decade

Heike Wollmann

23 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Heike Wollmann Singapore 17 1.3k 1.3k 94 75 48 23 1.7k
April Chan China 9 1.1k 0.9× 1.0k 0.8× 55 0.6× 96 1.3× 129 2.7× 12 1.5k
Jennifer Dahan United States 19 697 0.5× 751 0.6× 125 1.3× 44 0.6× 50 1.0× 40 1.3k
Chang Seob Kwon South Korea 18 1.1k 0.8× 1.4k 1.1× 190 2.0× 70 0.9× 22 0.5× 26 1.8k
ChuShin Koh Canada 15 625 0.5× 1.2k 0.9× 163 1.7× 105 1.4× 33 0.7× 23 1.5k
Zuzana Jasencakova Germany 19 991 0.7× 1.6k 1.3× 68 0.7× 130 1.7× 62 1.3× 23 1.9k
Shaheen Mowla South Africa 14 472 0.4× 614 0.5× 69 0.7× 71 0.9× 69 1.4× 33 1.0k
Yongyou Zhu United States 11 852 0.6× 944 0.7× 247 2.6× 117 1.6× 176 3.7× 19 1.4k
Jérémy Lucas France 14 507 0.4× 511 0.4× 61 0.6× 76 1.0× 23 0.5× 19 866
Jinying Peng China 19 1.0k 0.8× 1.5k 1.2× 410 4.4× 47 0.6× 79 1.6× 45 2.0k
Huaping Zhou United States 16 1.1k 0.8× 1.2k 1.0× 210 2.2× 53 0.7× 13 0.3× 27 1.5k

Countries citing papers authored by Heike Wollmann

Since Specialization
Citations

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

Fields of papers citing papers by Heike Wollmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heike Wollmann

This figure shows the co-authorship network connecting the top 25 collaborators of Heike Wollmann. A scholar is included among the top collaborators of Heike Wollmann 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 Heike Wollmann. Heike Wollmann 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.
Han, Yuyuan, Yan Huang, L. Rasmussen, et al.. (2025). Maternal PRDM10 activates essential genes for oocyte-to-embryo transition. Nature Communications. 16(1). 1939–1939. 1 indexed citations
2.
Mzoughi, Slim, Diana Low, Sheena L. M. Ong, et al.. (2020). PRDM15 loss of function links NOTCH and WNT/PCP signaling to patterning defects in holoprosencephaly. Science Advances. 6(2). eaax9852–eaax9852. 9 indexed citations
3.
Han, Yuyuan, Chuan-Sheng Foo, Heike Wollmann, et al.. (2020). Global translation during early development depends on the essential transcription factor PRDM10. Nature Communications. 11(1). 3603–3603. 17 indexed citations
4.
Ow, Jin Rong, Noémi Van Hul, Heike Wollmann, et al.. (2020). Loss of hepatocyte cell division leads to liver inflammation and fibrosis. PLoS Genetics. 16(11). e1009084–e1009084. 35 indexed citations
5.
Ow, Jin Rong, Matias J. Caldez, Juat Chin Foo, et al.. (2020). Remodeling of whole-body lipid metabolism and a diabetic-like phenotype caused by loss of CDK1 and hepatocyte division. eLife. 9. 19 indexed citations
6.
Wollmann, Heike, et al.. (2020). Infertility-Causing Haploinsufficiency Reveals TRIM28/KAP1 Requirement in Spermatogonia. Stem Cell Reports. 14(5). 818–827. 13 indexed citations
7.
Palatnik, Javier F., Heike Wollmann, Carla Schommer, et al.. (2019). Sequence and Expression Differences Underlie Functional Specialization of Arabidopsis MicroRNAs miR159 and miR319. Developmental Cell. 51(1). 129–129. 7 indexed citations
8.
Chung, Vin Yee, Tuan Zea Tan, Jieru Ye, et al.. (2019). The role of GRHL2 and epigenetic remodeling in epithelial–mesenchymal plasticity in ovarian cancer cells. Communications Biology. 2(1). 272–272. 60 indexed citations
9.
Fong, Jia Yi, Diana Low, Luca Pignata, et al.. (2019). Abstract 4731: Therapeutic targeting of RNA splicing through inhibition of protein arginine methylation. 4731–4731. 2 indexed citations
10.
Tabaglio, Tommaso, Diana Low, Pierre-Alexis Goy, et al.. (2018). MBNL1 alternative splicing isoforms play opposing roles in cancer. Life Science Alliance. 1(5). e201800157–e201800157. 42 indexed citations
11.
Kumar, Abhishek Sampath, Shu Ly Lim, Chanchao Lorthongpanich, et al.. (2017). Loss of maternal Trim28 causes male-predominant early embryonic lethality. Genes & Development. 31(1). 12–17. 22 indexed citations
12.
Wollmann, Heike, Hume Stroud, Ramesh Yelagandula, et al.. (2017). The histone H3 variant H3.3 regulates gene body DNA methylation in Arabidopsis thaliana. Genome biology. 18(1). 94–94. 99 indexed citations
13.
Mzoughi, Slim, Jingxian Zhang, Delphine Héquet, et al.. (2017). PRDM15 safeguards naive pluripotency by transcriptionally regulating WNT and MAPK–ERK signaling. Nature Genetics. 49(9). 1354–1363. 40 indexed citations
14.
Wollmann, Heike, et al.. (2012). Dynamic Deposition of Histone Variant H3.3 Accompanies Developmental Remodeling of the Arabidopsis Transcriptome. PLoS Genetics. 8(5). e1002658–e1002658. 112 indexed citations
15.
Wollmann, Heike & Frédéric Berger. (2011). Epigenetic reprogramming during plant reproduction and seed development. Current Opinion in Plant Biology. 15(1). 63–69. 25 indexed citations
16.
Wollmann, Heike, Erica Mica, Marco Todesco, Jeff A. Long, & Detlef Weigel. (2010). On reconciling the interactions between APETALA2 , miR172 and AGAMOUS with the ABC model of flower development. Development. 137(21). 3633–3642. 197 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.
Wollmann, Heike & Detlef Weigel. (2010). Small RNAs in flower development. European Journal of Cell Biology. 89(2-3). 250–257. 16 indexed citations
19.
Wollmann, Heike, et al.. (2009). Structure Determinants for Accurate Processing of miR172a in Arabidopsis thaliana. Current Biology. 20(1). 42–48. 120 indexed citations
20.
Palatnik, Javier F., Heike Wollmann, Carla Schommer, et al.. (2007). Sequence and Expression Differences Underlie Functional Specialization of Arabidopsis MicroRNAs miR159 and miR319. Developmental Cell. 13(1). 115–125. 334 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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