Heiko Fuchs

1.5k total citations · 1 hit paper
17 papers, 1.2k citations indexed

About

Heiko Fuchs is a scholar working on Molecular Biology, Cancer Research and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Heiko Fuchs has authored 17 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Cancer Research and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Heiko Fuchs's work include MicroRNA in disease regulation (5 papers), Pluripotent Stem Cells Research (4 papers) and CRISPR and Genetic Engineering (4 papers). Heiko Fuchs is often cited by papers focused on MicroRNA in disease regulation (5 papers), Pluripotent Stem Cells Research (4 papers) and CRISPR and Genetic Engineering (4 papers). Heiko Fuchs collaborates with scholars based in Germany, France and Indonesia. Heiko Fuchs's co-authors include F. Gregory Wulczyn, Robert Nitsch, Lena Smirnova, Agnieszka Rybak‐Wolf, Elena E. Pohl, Christine Brandt, Stephan Immenschuh, Daniel Krappmann, Kamyar Hadian and Geert Michel and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Nature Cell Biology.

In The Last Decade

Heiko Fuchs

16 papers receiving 1.2k citations

Hit Papers

align trajectories

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.

A feedback loop comprising lin-28 and let-7 controls pre-let-7 maturation during neural stem-cell commitment

2008 649 citations Agnieszka Rybak‐Wolf, Heiko Fuchs et al. Nature Cell Biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Heiko Fuchs Germany	9	946	615	157	61	55	17	1.2k
John Pena United States	11	1.4k 1.5×	1.1k 1.8×	81 0.5×	57 0.9×	16 0.3×	15	1.7k
Shay Geula Israel	9	1.8k 1.8×	605 1.0×	81 0.5×	75 1.2×	15 0.3×	10	1.8k
Baoming Qin China	13	900 1.0×	222 0.4×	64 0.4×	65 1.1×	23 0.4×	27	1.1k
Ruitu Lv China	14	1.7k 1.8×	617 1.0×	92 0.6×	125 2.0×	23 0.4×	15	1.9k
Kristoffer Vitting‐Seerup Denmark	18	1.2k 1.2×	375 0.6×	96 0.6×	124 2.0×	10 0.2×	31	1.5k
Aurora Savino Italy	13	587 0.6×	180 0.3×	71 0.5×	75 1.2×	41 0.7×	30	794
Miguel Fidalgo United States	16	1.4k 1.5×	222 0.4×	73 0.5×	141 2.3×	26 0.5×	27	1.7k
Constantinos Chronis United States	18	1.6k 1.7×	243 0.4×	84 0.5×	280 4.6×	31 0.6×	27	1.9k
Aled Parry United Kingdom	14	1.4k 1.5×	121 0.2×	216 1.4×	91 1.5×	89 1.6×	17	1.7k
Ashish Dhir United Kingdom	13	1.5k 1.6×	349 0.6×	286 1.8×	59 1.0×	18 0.3×	16	1.9k

Countries citing papers authored by Heiko Fuchs

Since Specialization

Citations

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

Fields of papers citing papers by Heiko Fuchs

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heiko Fuchs

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

All Works

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17 of 17 papers shown

Hufendiek, Karsten, et al.. (2024). In vitro comparison of human and murine trabecular meshwork cells: implications for glaucoma research. Scientific Reports. 14(1). 22002–22002. 1 indexed citations

Tode, Jan, et al.. (2024). Long-term in vitro monitoring of AAV-transduction efficiencies in real-time with Hoechst 33342. PLoS ONE. 19(3). e0298173–e0298173. 1 indexed citations

Jahn, Kirsten, Heiko Fuchs, Adrian Groh, et al.. (2024). Impact of cannabinoids on synapse markers in an SH-SY5Y cell culture model. SHILAP Revista de lepidopterología. 10(1). 96–96.

Framme, Carsten, et al.. (2023). A simple dissection method for the isolation of mouse trabecular meshwork cells. PLoS ONE. 18(12). e0296124–e0296124. 1 indexed citations

Fuchs, Heiko, et al.. (2023). Breaking a Dogma: High‐Throughput Live‐Cell Imaging in Real‐Time with Hoechst 33342. Advanced Healthcare Materials. 12(20). e2300230–e2300230. 8 indexed citations

Hufendiek, Karsten, et al.. (2022). MiR-302d inhibits TGFB-induced EMT and promotes MET in primary human RPE cells. PLoS ONE. 17(11). e0278158–e0278158. 2 indexed citations

Vijayan, Vijith, Elena Korenbaum, Harshit Shah, et al.. (2021). Alpha1-antitrypsin counteracts heme-induced endothelial cell inflammatory activation, autophagy dysfunction and death. Redox Biology. 46. 102060–102060. 10 indexed citations

Fuchs, Heiko, et al.. (2020). The microRNAs miR-302d and miR-93 inhibit TGFB-mediated EMT and VEGFA secretion from ARPE-19 cells. Experimental Eye Research. 201. 108258–108258. 24 indexed citations

Vijayan, Vijith, Pooja Pradhan, Laura Braud, et al.. (2019). Human and murine macrophages exhibit differential metabolic responses to lipopolysaccharide - A divergent role for glycolysis. Redox Biology. 22. 101147–101147. 157 indexed citations

10.

Franzoni, Eleonora, Sam A. Booker, Srinivas Parthasarathy, et al.. (2015). miR-128 regulates neuronal migration, outgrowth and intrinsic excitability via the intellectual disability gene Phf6. eLife. 4. 76 indexed citations

11.

Cheng, Xinlai, Eleni Dimou, Hamed Alborzinia, et al.. (2015). Identification of 2-[4-[(4-Methoxyphenyl)methoxy]-phenyl]acetonitrile and Derivatives as Potent Oct3/4 Inducers. Journal of Medicinal Chemistry. 58(12). 4976–4983. 14 indexed citations

12.

Cheng, Xinlai, Hiroki Yoshida, Hamed Alborzinia, et al.. (2015). Ethyl 2-((4-Chlorophenyl)amino)thiazole-4-carboxylate and Derivatives Are Potent Inducers of Oct3/4. Journal of Medicinal Chemistry. 58(15). 5742–5750. 19 indexed citations

13.

Fuchs, Heiko, et al.. (2014). miR-27 Negatively Regulates Pluripotency-Associated Genes in Human Embryonal Carcinoma Cells. PLoS ONE. 9(11). e111637–e111637. 16 indexed citations

14.

Serpi, Raisa, Tanja Klein‐Rodewald, Julia Calzada‐Wack, et al.. (2013). Inbred wild type mouse strains have distinct spontaneous morphological phenotypes.. PubMed. 28(1). 79–88. 5 indexed citations

15.

Mlody, Barbara, et al.. (2012). Comparative molecular portraits of human unfertilized oocytes and primordial germ cells at 10 weeks of gestation. The International Journal of Developmental Biology. 56(10-11-12). 789–797. 8 indexed citations

16.

Rybak‐Wolf, Agnieszka, Heiko Fuchs, Kamyar Hadian, et al.. (2009). The let-7 target gene mouse lin-41 is a stem cell specific E3 ubiquitin ligase for the miRNA pathway protein Ago2. Nature Cell Biology. 11(12). 1411–1420. 189 indexed citations

17.

Rybak‐Wolf, Agnieszka, Heiko Fuchs, Lena Smirnova, et al.. (2008). A feedback loop comprising lin-28 and let-7 controls pre-let-7 maturation during neural stem-cell commitment. Nature Cell Biology. 10(8). 987–993. 649 indexed citations breakdown →

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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