Marc Boehning

1.6k total citations · 1 hit paper
7 papers, 991 citations indexed

About

Marc Boehning is a scholar working on Molecular Biology, Aquatic Science and Rheumatology. According to data from OpenAlex, Marc Boehning has authored 7 papers receiving a total of 991 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 1 paper in Aquatic Science and 1 paper in Rheumatology. Recurrent topics in Marc Boehning's work include RNA Research and Splicing (6 papers), Genomics and Chromatin Dynamics (5 papers) and RNA and protein synthesis mechanisms (4 papers). Marc Boehning is often cited by papers focused on RNA Research and Splicing (6 papers), Genomics and Chromatin Dynamics (5 papers) and RNA and protein synthesis mechanisms (4 papers). Marc Boehning collaborates with scholars based in Germany, Austria and Finland. Marc Boehning's co-authors include Patrick Cramer, Seychelle M. Vos, Henning Urlaub, A. Linden, Christoph Wigge, Lucas Farnung, Markus Zweckstetter, Anders S. Hansen, Hervé Marie-Nelly and Claire Dugast‐Darzacq and has published in prestigious journals such as Nature, Nature Communications and Molecular Cell.

In The Last Decade

Marc Boehning

7 papers receiving 985 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.

RNA polymerase II clustering through carboxy-terminal domain phase separation

2018 408 citations Marc Boehning, Claire Dugast‐Darzacq et al. Nature Structural & Molecular Biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marc Boehning Germany	6	909	57	42	35	35	7	991
Sinan Kilic Switzerland	13	857 0.9×	62 1.1×	38 0.9×	34 1.0×	35 1.0×	15	922
Rümeyza Bascetin France	7	594 0.7×	29 0.5×	66 1.6×	20 0.6×	29 0.8×	10	737
Nathan Gamarra United States	8	1.0k 1.1×	132 2.3×	53 1.3×	45 1.3×	32 0.9×	9	1.1k
Shintaro Aibara Sweden	19	906 1.0×	34 0.6×	36 0.9×	73 2.1×	24 0.7×	33	982
Alec Heckert United States	7	1.3k 1.4×	119 2.1×	50 1.2×	77 2.2×	36 1.0×	10	1.4k
Won‐Ki Cho South Korea	12	1.6k 1.7×	127 2.2×	58 1.4×	96 2.7×	30 0.9×	19	1.7k
Kengo Tsuda Japan	16	593 0.7×	50 0.9×	30 0.7×	33 0.9×	8 0.2×	30	693
Melissa R. Marzahn United States	11	577 0.6×	15 0.3×	56 1.3×	48 1.4×	59 1.7×	18	661
Ameya P. Jalihal United States	9	417 0.5×	26 0.5×	48 1.1×	23 0.7×	21 0.6×	14	478
Jiannan Guo United States	13	658 0.7×	23 0.4×	34 0.8×	33 0.9×	10 0.3×	28	761

Countries citing papers authored by Marc Boehning

Since Specialization

Citations

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

Fields of papers citing papers by Marc Boehning

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marc Boehning

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Flores‐Solis, David, Anton A. Polyansky, Marc Boehning, et al.. (2023). Driving forces behind phase separation of the carboxy-terminal domain of RNA polymerase II. Nature Communications. 14(1). 5979–5979. 26 indexed citations

2.

Boehning, Marc, Barbara Hummel, Fernando Aprile-Garcia, et al.. (2021). Stress-induced nuclear condensation of NELF drives transcriptional downregulation. Molecular Cell. 81(5). 1013–1026.e11. 94 indexed citations

3.

Söding, Johannes, et al.. (2019). Mechanisms for Active Regulation of Biomolecular Condensates. Trends in Cell Biology. 30(1). 4–14. 141 indexed citations

4.

Castillo‐Villamizar, Genis, et al.. (2019). Functional Metagenomics Reveals an Overlooked Diversity and Novel Features of Soil-Derived Bacterial Phosphatases and Phytases. mBio. 10(1). 25 indexed citations

5.

Boehning, Marc, Claire Dugast‐Darzacq, M. Ranković, et al.. (2018). RNA polymerase II clustering through carboxy-terminal domain phase separation. Nature Structural & Molecular Biology. 25(9). 833–840. 408 indexed citations breakdown →

6.

Vos, Seychelle M., Lucas Farnung, Marc Boehning, et al.. (2018). Structure of activated transcription complex Pol II–DSIF–PAF–SPT6. Nature. 560(7720). 607–612. 292 indexed citations

7.

Boehning, Marc, Claire Dugast‐Darzacq, M. Ranković, et al.. (2018). Rna Polymerase Ii Clustering Through Ctd Phase Separation. Zenodo (CERN European Organization for Nuclear Research). 5 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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