Shilei Ni

79 total papers · 1.8k total citations
55 papers, 1.2k citations indexed

About

Shilei Ni is a scholar working on Biomedical Engineering, Molecular Biology and Biomaterials. According to data from OpenAlex, Shilei Ni has authored 55 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Biomedical Engineering, 13 papers in Molecular Biology and 11 papers in Biomaterials. Recurrent topics in Shilei Ni's work include Nanoplatforms for cancer theranostics (9 papers), Electrospun Nanofibers in Biomedical Applications (8 papers) and Bone Tissue Engineering Materials (7 papers). Shilei Ni is often cited by papers focused on Nanoplatforms for cancer theranostics (9 papers), Electrospun Nanofibers in Biomedical Applications (8 papers) and Bone Tissue Engineering Materials (7 papers). Shilei Ni collaborates with scholars based in China, United States and Norway. Shilei Ni's co-authors include Xingang Li, Jian Wang, Zhiwei Li, Yulin Zhang, Bin Huang, Jiwei Cui, Qingshi Zeng, Rui Wang, Meihua Li and Li Ma and has published in prestigious journals such as Advanced Materials, Nature Communications and Biomaterials.

In The Last Decade

Shilei Ni

51 papers receiving 1.2k citations

Author Peers

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

Author						Papers	Cites
Shilei Ni	410	344	298	137	126	55	1.2k
Lei Liu	541 1.3×	269 0.8×	240 0.8×	111 0.8×	138 1.1×	93	1.4k
Hongwei Shao	283 0.7×	180 0.5×	558 1.9×	85 0.6×	126 1.0×	71	1.4k
Raffaele Ferrari	316 0.8×	593 1.7×	349 1.2×	167 1.2×	62 0.5×	49	1.4k
Qingle Ma	505 1.2×	152 0.4×	544 1.8×	68 0.5×	45 0.4×	31	1.3k
Cláudia Martins	465 1.1×	491 1.4×	320 1.1×	46 0.3×	71 0.6×	38	1.2k
Karolína Turnovcová	202 0.5×	221 0.6×	445 1.5×	124 0.9×	462 3.7×	36	1.2k
Fang Yu	291 0.7×	335 1.0×	563 1.9×	88 0.6×	63 0.5×	31	1.4k
Yuanyin Wang	492 1.2×	218 0.6×	289 1.0×	39 0.3×	135 1.1×	56	1.1k
Zhen Wang	388 0.9×	274 0.8×	339 1.1×	43 0.3×	50 0.4×	51	1.3k
Xingzhi Liu	481 1.2×	301 0.9×	153 0.5×	74 0.5×	66 0.5×	53	1.1k

Countries citing papers authored by Shilei Ni

Since Specialization

Citations

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

Fields of papers citing papers by Shilei Ni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shilei Ni

This figure shows the co-authorship network connecting the top 25 collaborators of Shilei Ni. A scholar is included among the top collaborators of Shilei 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 Shilei Ni. Shilei 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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