Shengyu Ni

16 total papers · 1.5k total citations
8 papers, 234 citations indexed

About

Shengyu Ni is a scholar working on Molecular Biology, Genetics and Mechanical Engineering. According to data from OpenAlex, Shengyu Ni has authored 8 papers receiving a total of 234 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Genetics and 2 papers in Mechanical Engineering. Recurrent topics in Shengyu Ni's work include Cancer Genomics and Diagnostics (2 papers), Gene expression and cancer classification (2 papers) and Fatigue and fracture mechanics (1 paper). Shengyu Ni is often cited by papers focused on Cancer Genomics and Diagnostics (2 papers), Gene expression and cancer classification (2 papers) and Fatigue and fracture mechanics (1 paper). Shengyu Ni collaborates with scholars based in Germany, China and France. Shengyu Ni's co-authors include Mark Stoneking, Roland Schröder, Mingkun Li, Burkhard Madea, Martin Vingron, Lutz Roewer, Enrico Macholdt, Sununguko Wata Mpoloka, Philipp Khaitovich and Sebastian Lippold and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Materials Science and BMC Bioinformatics.

In The Last Decade

Shengyu Ni

6 papers receiving 227 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Shengyu Ni	173	90	52	24	15	8	234
Maria X. Sosa	132 0.8×	87 1.0×	19 0.4×	29 1.2×	11 0.7×	8	326
Devon L. Johnstone	83 0.5×	105 1.2×	33 0.6×	7 0.3×	21 1.4×	7	229
Juvid Aryaman	210 1.2×	29 0.3×	67 1.3×	26 1.1×	5 0.3×	11	264
Fiona Robertson	208 1.2×	75 0.8×	76 1.5×	10 0.4×	11 0.7×	6	260
C Lambert	217 1.3×	76 0.8×	100 1.9×	6 0.3×	8 0.5×	6	279
Maria Korab-Laskowska	155 0.9×	144 1.6×	5 0.1×	11 0.5×	13 0.9×	8	311
Yu Cao	198 1.1×	42 0.5×	25 0.5×	19 0.8×	6 0.4×	12	308
Anthony J. Rampello	286 1.7×	33 0.4×	20 0.4×	8 0.3×	11 0.7×	7	328
Jonathan M. Palozzi	191 1.1×	28 0.3×	66 1.3×	5 0.2×	13 0.9×	6	243
Pavel Čabart	301 1.7×	45 0.5×	18 0.3×	16 0.7×	4 0.3×	13	329

Countries citing papers authored by Shengyu Ni

Since Specialization

Citations

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

Fields of papers citing papers by Shengyu Ni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengyu Ni

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

All Works

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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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