Shulin Ye

986 total citations · 1 hit paper
12 papers, 735 citations indexed

About

Shulin Ye is a scholar working on Filtration and Separation, Spectroscopy and Fluid Flow and Transfer Processes. According to data from OpenAlex, Shulin Ye has authored 12 papers receiving a total of 735 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Filtration and Separation, 6 papers in Spectroscopy and 3 papers in Fluid Flow and Transfer Processes. Recurrent topics in Shulin Ye's work include Chemical and Physical Properties in Aqueous Solutions (6 papers), Analytical Chemistry and Chromatography (6 papers) and Thermodynamic properties of mixtures (3 papers). Shulin Ye is often cited by papers focused on Chemical and Physical Properties in Aqueous Solutions (6 papers), Analytical Chemistry and Chromatography (6 papers) and Thermodynamic properties of mixtures (3 papers). Shulin Ye collaborates with scholars based in United States, United Kingdom and Australia. Shulin Ye's co-authors include Lin Jiang, Z. Hong Zhou, P. Ge, M.R. Sawaya, David R. Boyer, David Eisenberg, Kevin A. Murray, Meng Zhang, Binsen Li and Woo Shik Shin and has published in prestigious journals such as Nature Communications, Frontiers in Immunology and Thermochimica Acta.

In The Last Decade

Shulin Ye

12 papers receiving 733 citations

Hit Papers

Cryo-EM of full-length α-synuclein reveals fibril polymor... 2018 2026 2020 2023 2018 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shulin Ye United States 9 306 290 200 193 141 12 735
Sandip B. Vyas United States 5 537 1.8× 77 0.3× 706 3.5× 60 0.3× 157 1.1× 6 1.1k
William D. Bush United States 7 184 0.6× 103 0.4× 196 1.0× 27 0.1× 36 0.3× 8 609
Jiaxin Yu China 9 268 0.9× 13 0.0× 177 0.9× 42 0.2× 74 0.5× 16 436
Guisen Zhang China 18 69 0.2× 71 0.2× 534 2.7× 62 0.3× 50 0.4× 73 1.0k
Kornelia Wiśniewska Poland 10 320 1.0× 69 0.2× 254 1.3× 95 0.5× 35 0.2× 12 598
David J. S. Guthrie United Kingdom 13 243 0.8× 214 0.7× 243 1.2× 37 0.2× 19 0.1× 37 591
Mingfeng Yang China 11 752 2.5× 25 0.1× 634 3.2× 55 0.3× 152 1.1× 18 1.1k
Bankanidhi Sahoo India 17 576 1.9× 106 0.4× 933 4.7× 57 0.3× 107 0.8× 30 1.3k
Carmelo Tempra Czechia 12 282 0.9× 20 0.1× 331 1.7× 39 0.2× 48 0.3× 21 560
Vijaya B. Kenche Australia 13 525 1.7× 115 0.4× 269 1.3× 76 0.4× 124 0.9× 18 913

Countries citing papers authored by Shulin Ye

Since Specialization
Citations

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

Fields of papers citing papers by Shulin Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shulin Ye

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

All Works

12 of 12 papers shown
1.
Ye, Shulin, Nicholas X. Williams, & Aaron D. Franklin. (2022). Aerosol Jet Printing of SU-8 as a Passivation Layer Against Ionic Solutions. Journal of Electronic Materials. 51(4). 1583–1590. 6 indexed citations
2.
Qiu, Feifei, Weihui Lu, Shulin Ye, et al.. (2021). Berberine Promotes Induction of Immunological Tolerance to an Allograft via Downregulating Memory CD8+ T-Cells Through Altering the Gut Microbiota. Frontiers in Immunology. 12. 646831–646831. 8 indexed citations
3.
Li, Binsen, P. Ge, Kevin A. Murray, et al.. (2018). Cryo-EM of full-length α-synuclein reveals fibril polymorphs with a common structural kernel. Nature Communications. 9(1). 3609–3609. 470 indexed citations breakdown →
4.
Ye, Shulin, et al.. (2011). Abraham Model Correlations for Transfer of Neutral Molecules to Tetrahydrofuran and to 1,4-Dioxane, and for Transfer of Ions to Tetrahydrofuran. Journal of Solution Chemistry. 40(12). 2082–2094. 41 indexed citations
5.
Ye, Shulin, et al.. (2011). Determination of the Abraham model solute descriptors for 3,5-dinitro-2-methylbenzoic acid from measured solubility data in organic solvents. Physics and Chemistry of Liquids. 49(6). 821–829. 29 indexed citations
6.
Stephens, Timothy W., et al.. (2011). Enthalpy of solvation correlations for organic solutes and gases dissolved in 2-propanol, 2-butanol, 2-methyl-1-propanol and ethanol. Thermochimica Acta. 523(1-2). 214–220. 25 indexed citations
8.
Stephens, Timothy W., et al.. (2011). Abraham model correlations for solute partitioning into o-xylene, m-xylene and p-xylene from both water and the gas phase. Fluid Phase Equilibria. 308(1-2). 64–71. 22 indexed citations
9.
Stephens, Timothy W., et al.. (2011). Abraham model correlations for transfer of neutral molecules and ions to sulfolane. Fluid Phase Equilibria. 309(1). 30–35. 23 indexed citations
12.
Han, Jie & Shulin Ye. (1993). Field Study of an Oil Tank on Stone Column Ground. 2 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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