Lu Ji

2.6k citations
38 papers · 988 · h-index 16

Impact in

Papers in

    • Single-cell and spatial transcriptomics 2
    • Renal and related cancers 2
    • Gut microbiota and health 2
    • Cancer Genomics and Diagnostics 4
    • Cancer, Lipids, and Metabolism 4

Lu Ji

33 papers receiving 976 citations

Peers

Lu Ji
Comparison fields: 5 of 92
  • Cancer Research 344
  • Obstetrics and Gynecology 149
  • Pediatrics, Perinatology and Child Health 125
  • Pulmonary and Respiratory Medicine 211
  • Immunology 126
Replace Aki Isobe with:
Aki Isobe Japan
Nicole Y.L. Lam Hong Kong
Rashmi Sood United States
Paola Romeo Italy
Michiyasu Kawai Japan
Pentti Lehtovirta Finland
Marek Grabiec Poland
B. Susil Australia
Joachim Alfer Germany
Liangpu Xu China
Lu Ji relative to Aki Isobe Japan Aki Isobe's profile →
Citations per field
00.5×3.7×
Aki Isobe · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Lu Ji, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lu Ji Line = papers co-authored together Lu Ji links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017227
2 2020127
3 201590
4 201778
5 201876
6 201453
7 201845
8 202035
9 201828
10 201626
11 202223
12
Pregnancy-associated breast cancer: a case control and long-term follow-up study in China.
200321
13 201820
14 201217
15 202115
16 202015
17 202415
18 201312
19 202010
20 20189

About Lu Ji

Lu Ji is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Surgery and Pediatrics, Perinatology and Child Health, having authored 38 papers that have together received 988 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (6 papers), Cancer Genomics and Diagnostics (4 papers), Cancer, Lipids, and Metabolism (4 papers), Estrogen and related hormone effects (3 papers), Prenatal Screening and Diagnostics (3 papers), Single-cell and spatial transcriptomics (2 papers), Renal and related cancers (2 papers) and Gut microbiota and health (2 papers). The work is most often cited by research in Cancer Research (344 citations), Obstetrics and Gynecology (149 citations), Pediatrics, Perinatology and Child Health (125 citations), Pulmonary and Respiratory Medicine (211 citations) and Immunology (126 citations). Lu Ji has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Peiyong Jiang, Donald J. Tindall, Rossa W. K. Chiu, Yuk Ming Dennis Lo, Kathy O. Lui, Joaquim S. L. Vong, K.C. Allen Chan, Yvonne Kwun Yue Cheng, Liona C. Poon and Jason C.H. Tsang. Their work appears in journals such as Clinical Chemistry, BMC Pregnancy and Childbirth, Proceedings of the National Academy of Sciences, Cancer Letters and npj Genomic Medicine.

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.

Explore authors with similar magnitude of impact