Lu Ji

56 total papers · 2.5k total citations
37 papers, 947 citations indexed

About

Lu Ji is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Lu Ji has authored 37 papers receiving a total of 947 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 15 papers in Cancer Research and 7 papers in Surgery. Recurrent topics in Lu Ji's work include Prostate Cancer Treatment and Research (6 papers), Cancer Genomics and Diagnostics (6 papers) and Prenatal Screening and Diagnostics (4 papers). Lu Ji is often cited by papers focused on Prostate Cancer Treatment and Research (6 papers), Cancer Genomics and Diagnostics (6 papers) and Prenatal Screening and Diagnostics (4 papers). Lu Ji collaborates with scholars based in China, United States and Hong Kong. Lu Ji's co-authors include Peiyong Jiang, Donald J. Tindall, Rossa W. K. Chiu, Yuk Ming Dennis Lo, Kathy O. Lui, Joaquim S. L. Vong, Jason C.H. Tsang, Yvonne Kwun Yue Cheng, Liona C. Poon and Yun‐Bi Ni and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and SHILAP Revista de lepidopterología.

In The Last Decade

Lu Ji

33 papers receiving 932 citations

Author Peers

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

Author Last Decade Papers Cites
Lu Ji 470 361 239 165 148 37 947
So Fan Yim 287 0.6× 216 0.6× 91 0.4× 111 0.7× 53 0.4× 26 904
Paola Todeschini 349 0.7× 188 0.5× 190 0.8× 218 1.3× 36 0.2× 66 1.2k
Motoi Sugimura 245 0.5× 298 0.8× 66 0.3× 264 1.6× 172 1.2× 52 930
Aki Isobe 244 0.5× 175 0.5× 72 0.3× 230 1.4× 87 0.6× 25 797
Aggeliki Kοlialexi 386 0.8× 162 0.4× 105 0.4× 277 1.7× 347 2.3× 47 1.1k
Alexander M. Tseng 579 1.2× 266 0.7× 57 0.2× 111 0.7× 134 0.9× 27 944
Aurélie Hummel 418 0.9× 198 0.5× 179 0.7× 45 0.3× 72 0.5× 53 1.1k
Pentti Lehtovirta 234 0.5× 122 0.3× 86 0.4× 440 2.7× 54 0.4× 43 1.2k
Sang Geun Jung 428 0.9× 337 0.9× 126 0.5× 226 1.4× 19 0.1× 49 995
Kimitoshi Imai 241 0.5× 131 0.4× 82 0.3× 225 1.4× 60 0.4× 40 1.2k

Countries citing papers authored by Lu Ji

Since Specialization
Citations

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

Fields of papers citing papers by Lu Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lu Ji

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