Brian Reichholf

1.9k total citations
9 papers, 1.1k citations indexed

About

Brian Reichholf is a scholar working on Molecular Biology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Brian Reichholf has authored 9 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Cancer Research and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Brian Reichholf's work include RNA modifications and cancer (4 papers), MicroRNA in disease regulation (3 papers) and RNA Research and Splicing (3 papers). Brian Reichholf is often cited by papers focused on RNA modifications and cancer (4 papers), MicroRNA in disease regulation (3 papers) and RNA Research and Splicing (3 papers). Brian Reichholf collaborates with scholars based in Austria, United States and Russia. Brian Reichholf's co-authors include Stefan L. Ameres, Veronika A. Herzog, Johannes Zuber, Arndt von Haeseler, Philipp Rescheneder, Tobias Neumann, Pooja Bhat, Thomas R. Burkard, Wiebke Wlotzka and Upasna Sharma and has published in prestigious journals such as Science, Journal of Neuroscience and Molecular Cell.

In The Last Decade

Brian Reichholf

9 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
Brian Reichholf Austria 8 961 281 92 78 72 9 1.1k
Veronika A. Herzog Austria 11 1.2k 1.3× 338 1.2× 94 1.0× 89 1.1× 87 1.2× 17 1.4k
Marcos Morgan Italy 13 931 1.0× 338 1.2× 134 1.5× 45 0.6× 107 1.5× 22 1.1k
Qiao Zeng China 7 750 0.8× 168 0.6× 47 0.5× 74 0.9× 157 2.2× 11 931
Huifeng Zhu United States 9 752 0.8× 677 2.4× 106 1.2× 220 2.8× 86 1.2× 15 1.1k
Zhuojuan Luo China 16 871 0.9× 121 0.4× 18 0.2× 88 1.1× 129 1.8× 32 1.0k
Kiyoe Ura Japan 21 1.3k 1.3× 79 0.3× 59 0.6× 61 0.8× 283 3.9× 36 1.4k
Yilu Lu China 13 384 0.4× 223 0.8× 133 1.4× 35 0.4× 121 1.7× 29 593
Vanja Haberle Austria 12 1.2k 1.3× 134 0.5× 26 0.3× 64 0.8× 240 3.3× 16 1.4k
Takeshi Chujo Japan 15 1.8k 1.9× 658 2.3× 31 0.3× 60 0.8× 111 1.5× 27 2.0k
Huaqin Sun China 13 329 0.3× 160 0.6× 145 1.6× 84 1.1× 126 1.8× 46 616

Countries citing papers authored by Brian Reichholf

Since Specialization
Citations

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

Fields of papers citing papers by Brian Reichholf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Reichholf

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

All Works

9 of 9 papers shown
1.
Pribitzer, Carina, Jingkui Wang, Qing Zhao, et al.. (2020). Parallel PRC2/cPRC1 and vPRC1 pathways silence lineage-specific genes and maintain self-renewal in mouse embryonic stem cells. Science Advances. 6(14). eaax5692–eaax5692. 39 indexed citations
2.
Reichholf, Brian, et al.. (2019). Time-Resolved Small RNA Sequencing Unravels the Molecular Principles of MicroRNA Homeostasis. Molecular Cell. 75(4). 756–768.e7. 114 indexed citations
3.
Muhar, Matthias, Anja Ebert, Tobias Neumann, et al.. (2018). SLAM-seq defines direct gene-regulatory functions of the BRD4-MYC axis. Science. 360(6390). 800–805. 237 indexed citations
4.
Sharma, Upasna, Fengyun Sun, Colin C. Conine, et al.. (2018). Small RNAs Are Trafficked from the Epididymis to Developing Mammalian Sperm. Developmental Cell. 46(4). 481–494.e6. 281 indexed citations
5.
Herzog, Veronika A., Brian Reichholf, Tobias Neumann, et al.. (2017). Thiol-linked alkylation of RNA to assess expression dynamics. Nature Methods. 14(12). 1198–1204. 358 indexed citations
6.
Ameres, Stefan L., Veronika A. Herzog, & Brian Reichholf. (2017). Thiol-linked alkylation for the metabolic sequencing of RNA (SLAMseq). Protocol Exchange. 5 indexed citations
7.
Ignatova, V. V., Thomas R. Burkard, Jui‐Hung Hung, et al.. (2015). Uridylation of RNA Hairpins by Tailor Confines the Emergence of MicroRNAs in Drosophila. Molecular Cell. 59(2). 203–216. 57 indexed citations
8.
Berberoglu, Michael A., Zhiqiang Dong, Guangnan Li, et al.. (2014). Heterogeneously Expressedfezf2Patterns Gradient Notch Activity in Balancing the Quiescence, Proliferation, and Differentiation of Adult Neural Stem Cells. Journal of Neuroscience. 34(42). 13911–13923. 23 indexed citations
9.
Putz, Eva Maria, Zsuzsanna Bagó-Horváth, Christian Schuster, et al.. (2014). Loss of STAT3 in Lymphoma Relaxes NK Cell-Mediated Tumor Surveillance. Cancers. 6(1). 193–210. 13 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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