Yan G. Ni

10 total papers · 510 total citations
5 papers, 325 citations indexed

About

Yan G. Ni is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Geriatrics and Gerontology. According to data from OpenAlex, Yan G. Ni has authored 5 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 1 paper in Cellular and Molecular Neuroscience and 1 paper in Geriatrics and Gerontology. Recurrent topics in Yan G. Ni's work include FOXO transcription factor regulation (2 papers), Signaling Pathways in Disease (2 papers) and Sirtuins and Resveratrol in Medicine (1 paper). Yan G. Ni is often cited by papers focused on FOXO transcription factor regulation (2 papers), Signaling Pathways in Disease (2 papers) and Sirtuins and Resveratrol in Medicine (1 paper). Yan G. Ni collaborates with scholars based in United States, Brazil and Israel. Yan G. Ni's co-authors include Joseph A. Hill, Beverly A. Rothermel, David J. Morris, Robert D. Gerard, Na Wang, Dian J. Cao, Nita Sachan, Makoto Kuro-o, Pavan K. Battiprolu and Anwarul Ferdous and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The AAPS Journal.

In The Last Decade

Yan G. Ni

4 papers receiving 323 citations

Author Peers

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

Author						Papers	Cites
Yan G. Ni	226	57	51	43	42	5	325
Julia Szendroedi	200 0.9×	114 2.0×	38 0.7×	49 1.1×	38 0.9×	8	332
Masabumi Funakoshi	195 0.9×	96 1.7×	15 0.3×	50 1.2×	49 1.2×	8	357
Yunki Lim	203 0.9×	58 1.0×	115 2.3×	10 0.2×	29 0.7×	8	336
Anna F. Huff	161 0.7×	91 1.6×	74 1.5×	99 2.3×	16 0.4×	6	332
Alfred K. Ramirez	187 0.8×	102 1.8×	50 1.0×	19 0.4×	14 0.3×	6	303
Jeong Yi Choi	245 1.1×	135 2.4×	25 0.5×	29 0.7×	15 0.4×	9	363
Tatiana Bédarida	178 0.8×	132 2.3×	34 0.7×	37 0.9×	8 0.2×	8	359
Sangeeta Maity	118 0.5×	67 1.2×	56 1.1×	58 1.3×	7 0.2×	7	304
Anika A. M. Vaarhorst	110 0.5×	74 1.3×	28 0.5×	35 0.8×	6 0.1×	8	293
Yo-ichi Suzuki	201 0.9×	46 0.8×	77 1.5×	16 0.4×	33 0.8×	9	359

Countries citing papers authored by Yan G. Ni

Since Specialization

Citations

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

Fields of papers citing papers by Yan G. Ni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan G. Ni

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