Boya Song

661 total citations
10 papers, 411 citations indexed

About

Boya Song is a scholar working on Molecular Biology, Condensed Matter Physics and Endocrinology. According to data from OpenAlex, Boya Song has authored 10 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Condensed Matter Physics and 3 papers in Endocrinology. Recurrent topics in Boya Song's work include Bacterial biofilms and quorum sensing (4 papers), Vibrio bacteria research studies (3 papers) and Micro and Nano Robotics (3 papers). Boya Song is often cited by papers focused on Bacterial biofilms and quorum sensing (4 papers), Vibrio bacteria research studies (3 papers) and Micro and Nano Robotics (3 papers). Boya Song collaborates with scholars based in United States, Germany and China. Boya Song's co-authors include Jörn Dunkel, Knut Drescher, Raimo Hartmann, Francisco Díaz-Pascual, Praveen K. Singh, Philip Pearce, Rachel Mok, Hannah Jeckel, Kathy McKeown and Dominic J. Skinner and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nature Physics.

In The Last Decade

Boya Song

10 papers receiving 406 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Boya Song United States	7	221	90	79	65	52	10	411
Jérôme Wong-Ng France	9	232 1.0×	61 0.7×	87 1.1×	112 1.7×	18 0.3×	17	540
Eric Jelli Germany	9	241 1.1×	91 1.0×	64 0.8×	79 1.2×	54 1.0×	13	467
Jean‐Charles Walter France	11	353 1.6×	160 1.8×	92 1.2×	78 1.2×	26 0.5×	25	646
Hannah Jeckel Germany	14	473 2.1×	173 1.9×	88 1.1×	114 1.8×	186 3.6×	23	796
Francisco Díaz-Pascual Germany	10	384 1.7×	155 1.7×	58 0.7×	87 1.3×	116 2.2×	12	607
Johannes M. Keegstra United States	9	322 1.5×	159 1.8×	37 0.5×	115 1.8×	33 0.6×	16	520
Rachel Mok Germany	3	184 0.8×	67 0.7×	113 1.4×	78 1.2×	38 0.7×	3	332
Timothy J. Rudge United Kingdom	12	340 1.5×	72 0.8×	24 0.3×	197 3.0×	23 0.4×	25	582
J. Dockery United States	10	300 1.4×	86 1.0×	47 0.6×	162 2.5×	27 0.5×	13	670
Panos Oikonomou United States	10	468 2.1×	59 0.7×	15 0.2×	27 0.4×	13 0.3×	14	566

Countries citing papers authored by Boya Song

Since Specialization

Citations

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

Fields of papers citing papers by Boya Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Boya Song

This figure shows the co-authorship network connecting the top 25 collaborators of Boya Song. A scholar is included among the top collaborators of Boya Song 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 Boya Song. Boya Song 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:

10 of 10 papers shown

1.

Supekar, Rohit, et al.. (2023). Learning hydrodynamic equations for active matter from particle simulations and experiments. Proceedings of the National Academy of Sciences. 120(7). e2206994120–e2206994120. 35 indexed citations

2.

Jeckel, Hannah, Francisco Díaz-Pascual, Dominic J. Skinner, et al.. (2022). Shared biophysical mechanisms determine early biofilm architecture development across different bacterial species. PLoS Biology. 20(10). e3001846–e3001846. 11 indexed citations

3.

Skinner, Dominic J., Boya Song, Hannah Jeckel, et al.. (2021). Topological Metric Detects Hidden Order in Disordered Media. Physical Review Letters. 126(4). 48101–48101. 14 indexed citations

4.

Song, Boya, et al.. (2021). Enhanced adsorption and dye separation ability of low-cost sepiolite acidified by polyoxometalate acid. Journal of the Iranian Chemical Society. 19(4). 1457–1465. 4 indexed citations

5.

Díaz-Pascual, Francisco, Raimo Hartmann, Martin Lempp, et al.. (2019). Breakdown of Vibrio cholerae biofilm architecture induced by antibiotics disrupts community barrier function. Nature Microbiology. 4(12). 2136–2145. 58 indexed citations

6.

Song, Boya, et al.. (2019). A Robust Abstractive System for Cross-Lingual Summarization. 2025–2031. 37 indexed citations

7.

Pearce, Philip, Boya Song, Dominic J. Skinner, et al.. (2019). Flow-Induced Symmetry Breaking in Growing Bacterial Biofilms. Physical Review Letters. 123(25). 258101–258101. 46 indexed citations

8.

Hartmann, Raimo, Praveen K. Singh, Philip Pearce, et al.. (2018). Emergence of three-dimensional order and structure in growing biofilms. Nature Physics. 15(3). 251–256. 202 indexed citations

9.

Taşdizen, Tolga, et al.. (2015). Network modeling of Arctic melt ponds. Cold Regions Science and Technology. 124. 40–53. 3 indexed citations

10.

Song, Boya. (2014). Effects of electric field stimulation on degrading phenanthrene by Enterobacter dissolvens. 1 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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