Xiaobo Lu

1.3k citations
49 papers · 1.1k · h-index 20

Impact in

Papers in

Xiaobo Lu

49 papers receiving 1.1k citations

Peers

Xiaobo Lu
Comparison fields: 5 of 103
  • Cancer Research 264
  • Health, Toxicology and Mutagenesis 214
  • Geochemistry and Petrology 83
  • Developmental Neuroscience 56
  • Neurology 81
Replace Shengwen Wu with:
Shengwen Wu China
Jinghua Yang China
Min Fei China
Yuan Cai China
Guo Shao China
Yingjie Li China
Cansheng Zhu China
Cheng‐Tien Wu Taiwan
Morteza Seifi Iran
Xiaobo Lu relative to Shengwen Wu China Shengwen Wu's profile →
Citations per field
00.5×1.5×
Shengwen Wu · 1×
Citations per year

Countries citing papers authored by Xiaobo Lu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobo Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016134
2 202078
3 201575
4 201455
5 201844
6 201343
7 201239
8 202136
9 202132
10 201529
11 201428
12 201827
13 201824
14 201324
15 202023
16 201623
17 201721
18 201720
19 202020
20 201919

About Xiaobo Lu

Xiaobo Lu is a scholar working on Molecular Biology, Oncology, Physiology, Health, Toxicology and Mutagenesis and Cancer Research, having authored 49 papers that have together received 1.1k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (10 papers), Effects and risks of endocrine disrupting chemicals (7 papers), Neuroscience and Neuropharmacology Research (7 papers), Aluminum toxicity and tolerance in plants and animals (7 papers), RNA modifications and cancer (6 papers), Cancer-related Molecular Pathways (5 papers), Neurological Disease Mechanisms and Treatments (5 papers) and Anesthesia and Neurotoxicity Research (4 papers). The work is most often cited by research in Cancer Research (264 citations), Health, Toxicology and Mutagenesis (214 citations), Geochemistry and Petrology (83 citations), Developmental Neuroscience (56 citations) and Neurology (81 citations). Xiaobo Lu has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Shengwen Wu, Cuihong Jin, Yuan Cai, Jinghua Yang, Qiufang Liu, Mingyang Xiao, Shi Cheng, Min Xiao, Shenshan Jia and Changjie Lou. Their work appears in journals such as Biological Trace Element Research, Food and Chemical Toxicology, Cellular and Molecular Neurobiology, Journal of Clinical Laboratory Analysis and Value in Health.

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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