Harry Fischl

1.0k total citations
10 papers, 569 citations indexed

About

Harry Fischl is a scholar working on Molecular Biology, Plant Science and Endocrine and Autonomic Systems. According to data from OpenAlex, Harry Fischl has authored 10 papers receiving a total of 569 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Plant Science and 1 paper in Endocrine and Autonomic Systems. Recurrent topics in Harry Fischl's work include Genomics and Chromatin Dynamics (6 papers), RNA Research and Splicing (5 papers) and RNA and protein synthesis mechanisms (4 papers). Harry Fischl is often cited by papers focused on Genomics and Chromatin Dynamics (6 papers), RNA Research and Splicing (5 papers) and RNA and protein synthesis mechanisms (4 papers). Harry Fischl collaborates with scholars based in United Kingdom, United States and France. Harry Fischl's co-authors include Jane Mellor, Françoise S. Howe, Struan C. Murray, André Furger, Radhika Patel, Jonathan Neve, Bin Tian, Simon Haenni, Anitha Nair and Katherine Stott and has published in prestigious journals such as Nucleic Acids Research, The EMBO Journal and Molecular Cell.

In The Last Decade

Harry Fischl

10 papers receiving 569 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Harry Fischl United Kingdom 9 465 85 83 45 27 10 569
Françoise S. Howe United Kingdom 9 504 1.1× 70 0.8× 74 0.9× 49 1.1× 45 1.7× 9 614
Struan C. Murray United Kingdom 7 419 0.9× 55 0.6× 73 0.9× 38 0.8× 20 0.7× 9 502
Yixing Han United States 10 455 1.0× 97 1.1× 46 0.6× 86 1.9× 36 1.3× 11 598
Vincent Loubière France 11 320 0.7× 40 0.5× 55 0.7× 38 0.8× 36 1.3× 16 385
Yuewan Luo China 5 551 1.2× 42 0.5× 71 0.9× 47 1.0× 50 1.9× 6 630
Anna Y. Aksenova Russia 13 445 1.0× 40 0.5× 88 1.1× 64 1.4× 56 2.1× 20 555
Clemens Bönisch Germany 11 720 1.5× 34 0.4× 92 1.1× 62 1.4× 33 1.2× 13 785
Rippei Hayashi Australia 9 378 0.8× 44 0.5× 143 1.7× 38 0.8× 47 1.7× 16 443
Luke Isbel Australia 12 500 1.1× 36 0.4× 79 1.0× 115 2.6× 25 0.9× 17 571
Ibrahim Ihsan Taskiran Belgium 7 342 0.7× 31 0.4× 51 0.6× 49 1.1× 28 1.0× 8 418

Countries citing papers authored by Harry Fischl

Since Specialization
Citations

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

Fields of papers citing papers by Harry Fischl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Harry Fischl

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

All Works

10 of 10 papers shown
1.
McBride, David J., Claire Fielding, Alexandra Vatsiou, et al.. (2023). Whole-Genome Sequencing Can Identify Clinically Relevant Variants from a Single Sub-Punch of a Dried Blood Spot Specimen. International Journal of Neonatal Screening. 9(3). 52–52. 4 indexed citations
2.
Brown, Tom, et al.. (2021). Spt4 facilitates the movement of RNA polymerase II through the +2 nucleosomal barrier. Cell Reports. 36(13). 109755–109755. 13 indexed citations
3.
Fischl, Harry, Roel Oldenkamp, Lothar Schermelleh, et al.. (2020). Cold‐induced chromatin compaction and nuclear retention of clock mRNAs resets the circadian rhythm. The EMBO Journal. 39(22). e105604–e105604. 13 indexed citations
4.
Fischl, Harry, et al.. (2019). hnRNPC regulates cancer-specific alternative cleavage and polyadenylation profiles. Nucleic Acids Research. 47(14). 7580–7591. 89 indexed citations
5.
Fischl, Harry, Françoise S. Howe, André Furger, & Jane Mellor. (2017). Paf1 Has Distinct Roles in Transcription Elongation and Differential Transcript Fate. Molecular Cell. 65(4). 685–698.e8. 46 indexed citations
6.
Howe, Françoise S., Harry Fischl, Struan C. Murray, & Jane Mellor. (2016). Is H3K4me3 instructive for transcription activation?. BioEssays. 39(1). 1–12. 280 indexed citations
7.
Séguéla-Arnaud, Mathilde, Caroline Smith, Marcos Castellanos, et al.. (2015). The Mediator complex subunits MED25/PFT1 and MED8 are required for transcriptional responses to changes in cell wall arabinose composition and glucose treatment in Arabidopsis thaliana. BMC Plant Biology. 15(1). 215–215. 19 indexed citations
8.
Murray, Struan C., Simon Haenni, Françoise S. Howe, et al.. (2015). Sense and antisense transcription are associated with distinct chromatin architectures across genes. Nucleic Acids Research. 43(16). 7823–7837. 44 indexed citations
9.
Fischl, Harry, Françoise S. Howe, Zhenyu Xu, et al.. (2014). Transcription mediated insulation and interference direct gene cluster expression switches. eLife. 3. e03635–e03635. 31 indexed citations
10.
Watson, Matthew, Katherine Stott, Harry Fischl, Laura Cato, & Jean Thomas. (2013). Characterization of the interaction between HMGB1 and H3--a possible means of positioning HMGB1 in chromatin. Nucleic Acids Research. 42(2). 848–859. 30 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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