Dani L. Bodor

1.1k total citations
10 papers, 706 citations indexed

About

Dani L. Bodor is a scholar working on Molecular Biology, Cell Biology and Plant Science. According to data from OpenAlex, Dani L. Bodor has authored 10 papers receiving a total of 706 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Cell Biology and 4 papers in Plant Science. Recurrent topics in Dani L. Bodor's work include Microtubule and mitosis dynamics (6 papers), Chromosomal and Genetic Variations (4 papers) and Genomics and Chromatin Dynamics (4 papers). Dani L. Bodor is often cited by papers focused on Microtubule and mitosis dynamics (6 papers), Chromosomal and Genetic Variations (4 papers) and Genomics and Chromatin Dynamics (4 papers). Dani L. Bodor collaborates with scholars based in Portugal, United States and Netherlands. Dani L. Bodor's co-authors include Lars E.T. Jansen, João F. Mata, Ben E. Black, Ewa K. Paluch, Robert G. Endres, Ana F. David, Mariluz Gómez Rodríguez, Nuno Moreno, Daniel R. Foltz and Nuno M. C. Martins and has published in prestigious journals such as Nature Communications, Molecular Cell and Current Biology.

In The Last Decade

Dani L. Bodor

10 papers receiving 703 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dani L. Bodor Portugal	8	569	416	319	79	41	10	706
Dajun Sang United States	6	361 0.6×	196 0.5×	105 0.3×	56 0.7×	33 0.8×	9	559
Nikita B. Gudimchuk Russia	13	645 1.1×	130 0.3×	698 2.2×	37 0.5×	30 0.7×	37	933
Imre Gáspár Germany	17	1.0k 1.8×	104 0.3×	134 0.4×	66 0.8×	42 1.0×	33	1.2k
Katharina Thanisch Germany	8	1.0k 1.8×	183 0.4×	102 0.3×	107 1.4×	19 0.5×	10	1.1k
Vladimir A. Volkov Netherlands	17	652 1.1×	157 0.4×	694 2.2×	32 0.4×	20 0.5×	26	835
Jessica L. Henty-Ridilla United States	15	502 0.9×	513 1.2×	407 1.3×	18 0.2×	17 0.4×	30	1.0k
Ryota Uehara Japan	10	464 0.8×	152 0.4×	483 1.5×	34 0.4×	15 0.4×	29	658
Masamitsu Sato Japan	21	1.2k 2.2×	231 0.6×	829 2.6×	61 0.8×	51 1.2×	57	1.4k
Isabelle Flückiger Switzerland	12	734 1.3×	161 0.4×	735 2.3×	238 3.0×	18 0.4×	15	910
António J. Pereira Portugal	19	793 1.4×	252 0.6×	733 2.3×	95 1.2×	20 0.5×	26	989

Countries citing papers authored by Dani L. Bodor

Since Specialization

Citations

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

Fields of papers citing papers by Dani L. Bodor

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dani L. Bodor. 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 Dani L. Bodor. The network helps show where Dani L. Bodor may publish in the future.

Co-authorship network of co-authors of Dani L. Bodor

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

All Works

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10 of 10 papers shown

Bodor, Dani L., Sonja Georgievska, Nicolas Renaud, et al.. (2024). Geometric deep learning improves generalizability of MHC-bound peptide predictions. Communications Biology. 7(1). 1661–1661. 4 indexed citations

Bodor, Dani L., et al.. (2024). DeepRank2: Mining 3D Protein Structures with GeometricDeep Learning. The Journal of Open Source Software. 9(94). 5983–5983. 5 indexed citations

Wu, Jingchao, et al.. (2023). Microtubule nucleation from the fibrous corona by LIC1-pericentrin promotes chromosome congression. Current Biology. 33(5). 912–925.e6. 12 indexed citations

Bodor, Dani L., et al.. (2020). Of Cell Shapes and Motion: The Physical Basis of Animal Cell Migration. Developmental Cell. 52(5). 550–562. 104 indexed citations

Mitra, Sreyoshi, Dani L. Bodor, Ana F. David, et al.. (2020). Genetic screening identifies a SUMO protease dynamically maintaining centromeric chromatin. Nature Communications. 11(1). 501–501. 35 indexed citations

Stanković, Ana, Lucie Y. Guo, João F. Mata, et al.. (2016). A Dual Inhibitory Mechanism Sufficient to Maintain Cell-Cycle-Restricted CENP-A Assembly. Molecular Cell. 65(2). 231–246. 64 indexed citations

Bodor, Dani L., João F. Mata, Mikhail Sergeev, et al.. (2014). The quantitative architecture of centromeric chromatin. eLife. 3. e02137–e02137. 182 indexed citations

Bodor, Dani L., Luis P. Valente, João F. Mata, Ben E. Black, & Lars E.T. Jansen. (2013). Assembly in G1 phase and long-term stability are unique intrinsic features of CENP-A nucleosomes. Molecular Biology of the Cell. 24(7). 923–932. 78 indexed citations

Bodor, Dani L., Mariluz Gómez Rodríguez, Nuno Moreno, & Lars E.T. Jansen. (2012). Analysis of Protein Turnover by Quantitative SNAP‐Based Pulse‐Chase Imaging. Current Protocols in Cell Biology. 55(1). Unit8.8–Unit8.8. 82 indexed citations

10.

Silva, Mariana C.C., Dani L. Bodor, Madison E. Stellfox, et al.. (2011). Cdk Activity Couples Epigenetic Centromere Inheritance to Cell Cycle Progression. Developmental Cell. 22(1). 52–63. 140 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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