Jianglong Lu

412 citations
27 papers · 311 · h-index 12

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism
    • Glioma Diagnosis and Treatment

Papers in

Jianglong Lu

27 papers receiving 311 citations

Peers

Jianglong Lu
Comparison fields: 5 of 64
  • Cancer Research 86
  • Genetics 50
  • Endocrinology, Diabetes and Metabolism 49
  • Molecular Biology 179
  • Immunology 32
Replace Hua Guo with:
Hua Guo China
Thomas Unterkircher Germany
Blandine Secco Canada
Nicole A. Traphagen United States
Shengze Deng China
Güven Yenmiş Türkiye
Elena Panizza United States
Valentina Rossi Italy
Kuo-Hao Ho Taiwan
Jianglong Lu relative to Hua Guo China Hua Guo's profile →
Citations per field
00.5×1.5×2.4×
Hua Guo · 1×
Citations per year

Countries citing papers authored by Jianglong Lu

Since Specialization
Citations

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

Fields of papers citing papers by Jianglong Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201532
2 202330
3 202124
4 201820
5 201819
6 201917
7 201317
8 201814
9 202213
10 201812
11 201712
12 202111
13 201711
14 20229
15 20229
16 20219
17 20219
18 20178
19 20228
20 20226

About Jianglong Lu

Jianglong Lu is a scholar working on Molecular Biology, Neurology, Endocrinology, Diabetes and Metabolism, Cancer Research and Genetics, having authored 27 papers that have together received 311 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (8 papers), Glioma Diagnosis and Treatment (6 papers), Cancer, Hypoxia, and Metabolism (4 papers), Neuroblastoma Research and Treatments (4 papers), interferon and immune responses (3 papers), Immune cells in cancer (3 papers), MicroRNA in disease regulation (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Cancer Research (86 citations), Genetics (50 citations), Endocrinology, Diabetes and Metabolism (49 citations), Molecular Biology (179 citations) and Immunology (32 citations). Jianglong Lu has collaborated with scholars based in China. Frequent co-authors include Chengde Wang, Qun Li, Zhipeng Su, Lin Cai, Weiming Zheng, Qichuan Zhuge, Zhe Wu, Min Wen, Jia Xia and Peng Wang. Their work appears in journals such as Frontiers in Neurology, Cancer Cell International, Biochemical and Biophysical Research Communications, Molecular and Cellular Endocrinology and Frontiers in Aging Neuroscience.

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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