Yu Ji

59 total papers · 867 total citations
34 papers, 622 citations indexed

About

Yu Ji is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology. According to data from OpenAlex, Yu Ji has authored 34 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Endocrinology, Diabetes and Metabolism, 5 papers in Surgery and 5 papers in Molecular Biology. Recurrent topics in Yu Ji's work include Diabetes Treatment and Management (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers) and Air Quality and Health Impacts (4 papers). Yu Ji is often cited by papers focused on Diabetes Treatment and Management (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers) and Air Quality and Health Impacts (4 papers). Yu Ji collaborates with scholars based in China, United States and United Kingdom. Yu Ji's co-authors include Yuchuan Ding, Longfei Guan, James Yip, Shaolong Hao, Wei Han, Xiaokun Geng, Jonathan R. Warren, Hao Sun, Eric Cosky and Huishan Du and has published in prestigious journals such as SHILAP Revista de lepidopterología, Brain Research and Environmental Pollution.

In The Last Decade

Yu Ji

34 papers receiving 607 citations

Hit Papers

Factors Influencing Galls... 2022 2026 2023 2024 2022 25 50 75

Author Peers

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

Author Last Decade Papers Cites
Yu Ji 112 106 95 93 87 34 622
Hongwei Lin 220 2.0× 87 0.8× 114 1.2× 32 0.3× 58 0.7× 50 759
Zhuang Ma 210 1.9× 41 0.4× 98 1.0× 41 0.4× 125 1.4× 36 782
K Nagai 133 1.2× 78 0.7× 42 0.4× 21 0.2× 129 1.5× 44 772
Hongbin Tu 132 1.2× 34 0.3× 87 0.9× 161 1.7× 36 0.4× 28 746
Liping He 82 0.7× 78 0.7× 14 0.1× 129 1.4× 37 0.4× 66 788
Hiroyoshi Sato 231 2.1× 157 1.5× 40 0.4× 45 0.5× 11 0.1× 22 711
Jianjun Chen 54 0.5× 94 0.9× 22 0.2× 26 0.3× 71 0.8× 43 685
E. Rossi 257 2.3× 43 0.4× 47 0.5× 94 1.0× 51 0.6× 38 745
Huixia Jin 135 1.2× 45 0.4× 40 0.4× 11 0.1× 48 0.6× 44 706
Chenjing Wang 255 2.3× 36 0.3× 93 1.0× 27 0.3× 70 0.8× 39 688

Countries citing papers authored by Yu Ji

Since Specialization
Citations

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

Fields of papers citing papers by Yu Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Ji

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