Songwei Ni

30 total papers · 658 total citations
27 papers, 530 citations indexed

About

Songwei Ni is a scholar working on Immunology, Molecular Biology and Animal Science and Zoology. According to data from OpenAlex, Songwei Ni has authored 27 papers receiving a total of 530 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Immunology, 13 papers in Molecular Biology and 7 papers in Animal Science and Zoology. Recurrent topics in Songwei Ni's work include Aquaculture disease management and microbiota (12 papers), interferon and immune responses (9 papers) and Animal Virus Infections Studies (7 papers). Songwei Ni is often cited by papers focused on Aquaculture disease management and microbiota (12 papers), interferon and immune responses (9 papers) and Animal Virus Infections Studies (7 papers). Songwei Ni collaborates with scholars based in China, United States and Hong Kong. Songwei Ni's co-authors include Qiwei Qin, Yepin Yu, Youhua Huang, Xiaohong Huang, Lingli Zhou, Shina Wei, Huachun Cui, Yang Yan, Jiaxin Liu and Kaihao Tang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Frontiers in Microbiology.

In The Last Decade

Songwei Ni

26 papers receiving 529 citations

Author Peers

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

Author Last Decade Papers Cites
Songwei Ni 349 200 107 78 69 27 530
Hongye Jiang 126 0.4× 199 1.0× 84 0.8× 57 0.7× 25 0.4× 30 515
Masayuki Imajoh 241 0.7× 121 0.6× 35 0.3× 48 0.6× 77 1.1× 43 591
Pinwen Peter Chiou 342 1.0× 150 0.8× 32 0.3× 70 0.9× 59 0.9× 23 494
Jingzhuang Zhao 455 1.3× 122 0.6× 54 0.5× 59 0.8× 41 0.6× 49 605
P Huber 296 0.8× 82 0.4× 49 0.5× 121 1.6× 97 1.4× 30 503
Annie Lamoureux 520 1.5× 118 0.6× 73 0.7× 182 2.3× 30 0.4× 17 588
Se Ryun Kwon 347 1.0× 107 0.5× 44 0.4× 43 0.6× 29 0.4× 37 478
Kosuke Zenke 386 1.1× 153 0.8× 63 0.6× 23 0.3× 28 0.4× 33 481
Jérôme Lecardonnel 160 0.5× 193 1.0× 65 0.6× 66 0.8× 93 1.3× 27 587
Rongfang Zhang 383 1.1× 120 0.6× 52 0.5× 117 1.5× 47 0.7× 18 548

Countries citing papers authored by Songwei Ni

Since Specialization
Citations

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

Fields of papers citing papers by Songwei Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Songwei Ni

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