Xiaoting Lu

1.5k citations
30 papers · 812 · h-index 13

Impact in

    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
  • Oncology top 10%
    • COVID-19 and healthcare impacts

Papers in

Xiaoting Lu

29 papers receiving 790 citations

Peers

Xiaoting Lu
Comparison fields: 5 of 93
  • Infectious Diseases 246
  • Oncology 209
  • Parasitology 40
  • Insect Science 52
  • Complementary and alternative medicine 39
Replace Vinod Kumar Arora with:
Vinod Kumar Arora India
Maeve A O'Reilly United Kingdom
Qi Xiao China
Gdayllon Cavalcante Meneses Brazil
Gunter Johannes Sturm Austria
Daniel A. Okin United States
Byung‐Jae Lee South Korea
Noeme Sousa Rocha Brazil
Sharon M. Dial United States
Xiaoting Lu relative to Vinod Kumar Arora India Vinod Kumar Arora's profile →
Citations per field
00.5×5×10×17.3×
Vinod Kumar Arora · 1×
Citations per year

Countries citing papers authored by Xiaoting Lu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoting Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020363
2 201899
3 201045
4 201444
5 201031
6 201429
7 202119
8 201918
9 202118
10 202016
11 202016
12 202215
13 202013
14 202213
15 20209
16 20238
17 20227
18 20237
19 20176
20 20176

About Xiaoting Lu

Xiaoting Lu is a scholar working on Infectious Diseases, Rheumatology, Health, Toxicology and Mutagenesis, Rehabilitation and Nutrition and Dietetics, having authored 30 papers that have together received 812 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (4 papers), Folate and B Vitamins Research (3 papers), Effects and risks of endocrine disrupting chemicals (2 papers), Body Composition Measurement Techniques (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Wound Healing and Treatments (2 papers), Heavy Metal Exposure and Toxicity (1 paper) and Blood Pressure and Hypertension Studies (1 paper). The work is most often cited by research in Infectious Diseases (246 citations), Oncology (209 citations), Parasitology (40 citations), Insect Science (52 citations) and Complementary and alternative medicine (39 citations). Xiaoting Lu has collaborated with scholars based in China, Thailand and United Kingdom. Frequent co-authors include Bo Liang, Yanling Ma, Zhichao Chen, Lei Li, Hongxiang Wang, Qiubai Li, Li Chen, Wenjuan He, Yun Fang and Guolin Yuan. Their work appears in journals such as Frontiers in Nutrition, Ecotoxicology and Environmental Safety, PLoS ONE, Journal of Cellular and Molecular Medicine and Analytical Letters.

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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