Ji Ying Sze

36 total papers · 2.0k total citations
25 papers, 1.5k citations indexed

About

Ji Ying Sze is a scholar working on Endocrine and Autonomic Systems, Aging and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ji Ying Sze has authored 25 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Endocrine and Autonomic Systems, 17 papers in Aging and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ji Ying Sze's work include Genetics, Aging, and Longevity in Model Organisms (17 papers), Circadian rhythm and melatonin (16 papers) and Neuroscience and Neuropharmacology Research (4 papers). Ji Ying Sze is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (17 papers), Circadian rhythm and melatonin (16 papers) and Neuroscience and Neuropharmacology Research (4 papers). Ji Ying Sze collaborates with scholars based in United States, Bulgaria and Ireland. Ji Ying Sze's co-authors include Gary Ruvkun, Yang Shi, Curtis M. Loer, Martin Victor, Gabriela Blanco, Mustapha Moussaif, Shenyuan Zhang, Xiaoning Chen, Scott M. Mackenzie and Irina Sokolchik and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Neuroscience.

In The Last Decade

Ji Ying Sze

25 papers receiving 1.5k citations

Hit Papers

Food and metabolic signal... 2000 2026 2008 2017 2000 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Ji Ying Sze 888 590 414 303 265 25 1.5k
Raymond Lee 1.5k 1.7× 594 1.0× 1.0k 2.5× 237 0.8× 398 1.5× 10 2.0k
Nicholas A. Bishop 714 0.8× 310 0.5× 793 1.9× 276 0.9× 704 2.7× 12 2.1k
Edward M. Tilmont 741 0.8× 337 0.6× 393 0.9× 98 0.3× 1.1k 4.2× 14 1.8k
Joanne Allard 298 0.3× 372 0.6× 676 1.6× 226 0.7× 983 3.7× 33 2.2k
Richard Nass 887 1.0× 186 0.3× 868 2.1× 322 1.1× 270 1.0× 30 2.2k
Benjamin D. Weger 167 0.2× 720 1.2× 414 1.0× 143 0.5× 594 2.2× 33 1.6k
Hidetoshi Komatsu 601 0.7× 532 0.9× 604 1.5× 590 1.9× 208 0.8× 18 1.5k
John E. Zimmerman 295 0.3× 900 1.5× 348 0.8× 605 2.0× 252 1.0× 28 1.8k
Andrew D. Steele 161 0.2× 362 0.6× 461 1.1× 297 1.0× 602 2.3× 23 1.5k
Ruifeng Cao 211 0.2× 710 1.2× 608 1.5× 390 1.3× 391 1.5× 40 1.6k

Countries citing papers authored by Ji Ying Sze

Since Specialization
Citations

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

Fields of papers citing papers by Ji Ying Sze

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ji Ying Sze. 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 Ji Ying Sze. The network helps show where Ji Ying Sze may publish in the future.

Co-authorship network of co-authors of Ji Ying Sze

This figure shows the co-authorship network connecting the top 25 collaborators of Ji Ying Sze. A scholar is included among the top collaborators of Ji Ying Sze 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 Ji Ying Sze. Ji Ying Sze 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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