Jim Lu

1.2k citations
31 papers · 988 · h-index 14

Impact in

Papers in

    • MicroRNA in disease regulation 9
    • Cancer-related molecular mechanisms research 9
    • Cancer Genomics and Diagnostics 1
    • Circular RNAs in diseases 7
    • RNA Research and Splicing 3
    • Extracellular vesicles in disease 2

Jim Lu

29 papers receiving 967 citations

Peers

Jim Lu
Comparison fields: 5 of 87
  • Biological Psychiatry 83
  • Cancer Research 499
  • Developmental Neuroscience 44
  • Molecular Biology 594
  • Behavioral Neuroscience 26
Replace Magdalena Tertil with:
Magdalena Tertil Poland
Yunyoung C Chang United States
Siddharth G. Kamath United States
Mei Xu China
Yuhua Huang China
Carla S. Veríssimo Netherlands
James Kozubek United States
Bharath Chelluboina United States
Jim Lu relative to Magdalena Tertil Poland Magdalena Tertil's profile →
Citations per field
00.5×3.5×
Magdalena Tertil · 1×
Citations per year

Countries citing papers authored by Jim Lu

Since Specialization
Citations

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

Fields of papers citing papers by Jim Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jim Lu, 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 Jim Lu Line = papers co-authored together Jim Lu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016118
2 2015117
3 2014114
4 201487
5 201481
6 201576
7 201566
8 201644
9 201934
10 201534
11 201733
12 201631
13 201623
14 201718
15 202213
16 200511
17 201711
18 202110
19 202110
20 201710

About Jim Lu

Jim Lu is a scholar working on Cancer Research, Molecular Biology, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Oncology, having authored 31 papers that have together received 988 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (9 papers), Cancer-related molecular mechanisms research (9 papers), Circular RNAs in diseases (7 papers), RNA Research and Splicing (3 papers), Extracellular vesicles in disease (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper), Ferroptosis and cancer prognosis (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Biological Psychiatry (83 citations), Cancer Research (499 citations), Developmental Neuroscience (44 citations), Molecular Biology (594 citations) and Behavioral Neuroscience (26 citations). Jim Lu has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Aifang Zhong, Li-Yi Zhang, Wei Niu, Xinyang Sun, Wanshuai Li, Lin Zhao, Huimin Fan, Zhongmin Guo, Shengdong Chen and Mingjun He. Their work appears in journals such as The Prostate, Journal of Psychiatric Research, American Journal of Medical Genetics Part B Neuropsychiatric Genetics, Biomarkers in Medicine and Gastroenterology.

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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