B. Alver

18.2k total citations
27 papers, 1.9k citations indexed

About

B. Alver is a scholar working on Molecular Biology, Nuclear and High Energy Physics and Pathology and Forensic Medicine. According to data from OpenAlex, B. Alver has authored 27 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 7 papers in Nuclear and High Energy Physics and 5 papers in Pathology and Forensic Medicine. Recurrent topics in B. Alver's work include Genomics and Chromatin Dynamics (10 papers), High-Energy Particle Collisions Research (7 papers) and Chromatin Remodeling and Cancer (6 papers). B. Alver is often cited by papers focused on Genomics and Chromatin Dynamics (10 papers), High-Energy Particle Collisions Research (7 papers) and Chromatin Remodeling and Cancer (6 papers). B. Alver collaborates with scholars based in United States, France and South Korea. B. Alver's co-authors include Peter J. Park, Charles W.M. Roberts, Xiaofeng Wang, Jean-Yves Ollitrault, Matthew Luzum, Clément Gombeaud, Michael Tolstorukov, Jeffrey R. Haswell, Ping Lu and Boris G. Wilson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

B. Alver

24 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
B. Alver United States	15	1.5k	398	246	203	155	27	1.9k
T. D. Willis United States	13	589 0.4×	276 0.7×	76 0.3×	76 0.4×	270 1.7×	28	1.5k
Carl Herrmann Germany	24	1.5k 1.0×	35 0.1×	164 0.7×	205 1.0×	334 2.2×	56	2.4k
Bertrand Favier France	18	812 0.5×	63 0.2×	277 1.1×	29 0.1×	81 0.5×	49	1.6k
Keiji Kimura Japan	27	2.6k 1.7×	44 0.1×	94 0.4×	397 2.0×	220 1.4×	54	3.3k
William R. Crain United States	26	623 0.4×	109 0.3×	50 0.2×	134 0.7×	20 0.1×	68	1.8k
Eugenio Marco United States	18	1.5k 1.0×	35 0.1×	173 0.7×	106 0.5×	155 1.0×	33	1.9k
Nick Schurch United Kingdom	18	912 0.6×	20 0.1×	170 0.7×	180 0.9×	241 1.6×	26	1.7k
François Aymard France	11	1.5k 1.0×	25 0.1×	43 0.2×	130 0.6×	150 1.0×	15	1.6k
Eduardo Eyras Spain	37	4.6k 3.1×	51 0.1×	388 1.6×	451 2.2×	1.2k 7.9×	84	5.5k
Pedro G. Ferreira Portugal	17	755 0.5×	30 0.1×	47 0.2×	50 0.2×	178 1.1×	44	1.2k

Countries citing papers authored by B. Alver

Since Specialization

Citations

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

Fields of papers citing papers by B. Alver

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of B. Alver

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

All Works

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20 of 20 papers shown

Alver, B., et al.. (2021). WU-BIMAC/MicroMetaApp-Electron: 1.2.2-b1-1 stable beta. Zenodo (CERN European Organization for Nuclear Research).

Alver, B., et al.. (2021). WU-BIMAC/MicroMetaApp-React: 1.2.2-b1-1 stable beta (4DN v5 Integration - VII). Zenodo (CERN European Organization for Nuclear Research).

Lee, Soohyun, et al.. (2021). Pairs and Pairix: a file format and a tool for efficient storage and retrieval for Hi-C read pairs. Bioinformatics. 38(6). 1729–1731. 18 indexed citations

Wang, Su, Soohyun Lee, Chong Chu, et al.. (2020). HiNT: a computational method for detecting copy number variations and translocations from Hi-C data. Genome biology. 21(1). 49 indexed citations

Chuang, James, et al.. (2020). The conserved elongation factor Spn1 is required for normal transcription, histone modifications, and splicing in Saccharomyces cerevisiae. Nucleic Acids Research. 48(18). 10241–10258. 21 indexed citations

Jain, Dhawal, Chong Chu, B. Alver, et al.. (2020). HiTea: a computational pipeline to identify non-reference transposable element insertions in Hi-C data. Bioinformatics. 37(8). 1045–1051. 5 indexed citations

Alver, B., et al.. (2020). GiniQC: a measure for quantifying noise in single-cell Hi-C data. Bioinformatics. 36(9). 2902–2904. 6 indexed citations

Lee, Soohyun, et al.. (2019). Tibanna: software for scalable execution of portable pipelines on the cloud. Bioinformatics. 35(21). 4424–4426. 5 indexed citations

Kerpedjiev, Peter, Nezar Abdennur, Fritz Lekschas, et al.. (2018). HiGlass: web-based visual exploration and analysis of genome interaction maps. Genome biology. 19(1). 125–125. 292 indexed citations

10.

Alver, B., Kimberly H. Kim, Ping Lu, et al.. (2017). The SWI/SNF chromatin remodelling complex is required for maintenance of lineage specific enhancers. Nature Communications. 8(1). 14648–14648. 260 indexed citations

11.

Kallgren, Scott P., Carina Demel, Kerstin C. Maier, et al.. (2017). Spt5 Plays Vital Roles in the Control of Sense and Antisense Transcription Elongation. Molecular Cell. 66(1). 77–88.e5. 74 indexed citations

12.

Wang, Xiaofeng, Ryan S. Lee, B. Alver, et al.. (2016). SMARCB1-mediated SWI/SNF complex function is essential for enhancer regulation. Nature Genetics. 49(2). 289–295. 239 indexed citations

13.

Mieczkowski, Jakub, April Cook, Sarah Bowman, et al.. (2016). MNase titration reveals differences between nucleosome occupancy and chromatin accessibility. Nature Communications. 7(1). 11485–11485. 171 indexed citations

14.

Mathur, Radhika, B. Alver, Adrianna K. San Roman, et al.. (2016). ARID1A loss impairs enhancer-mediated gene regulation and drives colon cancer in mice. Nature Genetics. 49(2). 296–302. 242 indexed citations

15.

Lee, Soohyun, et al.. (2015). EMSAR: estimation of transcript abundance from RNA-seq data by mappability-based segmentation and reclustering. BMC Bioinformatics. 16(1). 278–278. 12 indexed citations

16.

West, Jason A., April Cook, B. Alver, et al.. (2014). Nucleosomal occupancy changes locally over key regulatory regions during cell differentiation and reprogramming. Nature Communications. 5(1). 4719–4719. 66 indexed citations

17.

Alver, B., Samuel Marguerat, Ekaterina Stepanova, et al.. (2013). Spt6 Regulates Intragenic and Antisense Transcription, Nucleosome Positioning, and Histone Modifications Genome-Wide in Fission Yeast. Molecular and Cellular Biology. 33(24). 4779–4792. 78 indexed citations

18.

Alver, B. & G. Roland. (2010). Collision-geometry fluctuations and triangular flow in heavy-ion collisions. Physical Review C. 81(5). 16 indexed citations

19.

Alver, B.. (2008). Non-flow correlations and elliptic flow fluctuations in Au + Au collisions at \sqrt{s_{{\rm NN}}} = 200 GeV. Journal of Physics G Nuclear and Particle Physics. 35(10). 104101–104101. 22 indexed citations

20.

Alver, B.. (2007). ELLIPTIC FLOW FLUCTUATIONS IN AU+AU COLLISIONS AT $\sqrt{s_{NN}} = 200\, {\rm GeV}$. International Journal of Modern Physics E. 16(10). 3331–3338. 8 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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