Xiaolan Lu

645 citations
33 papers · 469 · h-index 13

Impact in

  • Hepatology top 10%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • SARS-CoV-2 and COVID-19 Research
    • SARS-CoV-2 detection and testing
    • COVID-19 Clinical Research Studies

Papers in

Xiaolan Lu

31 papers receiving 461 citations

Peers

Xiaolan Lu
Comparison fields: 5 of 81
  • Hepatology 55
  • Infectious Diseases 113
  • Cancer Research 67
  • Pathology and Forensic Medicine 74
  • Epidemiology 140
Replace Lucilla Crudele with:
Lucilla Crudele Italy
Zhenwei Yang China
Felice Crocetto Italy
Zengyan Wang China
Junfeng Zhang China
Yin Ping Wong Malaysia
Andrea Busse Grawitz Germany
Yongbing Qian China
Alberto Nicoletti Italy
Tianyou Chen China
Xiaolan Lu relative to Lucilla Crudele Italy Lucilla Crudele's profile →
Citations per field
00.5×5.8×
Lucilla Crudele · 1×
Citations per year

Countries citing papers authored by Xiaolan Lu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolan Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202090
2 200452
3 201949
4 201931
5 201631
6 201626
7 201720
8 201919
9 201918
10 201517
11 202317
12 201916
13 202015
14 20139
15 20087
16 20037
17 20165
18 20185
19 20154
20 20094

About Xiaolan Lu

Xiaolan Lu is a scholar working on Epidemiology, Pathology and Forensic Medicine, Endocrinology, Diabetes and Metabolism, Infectious Diseases and Surgery, having authored 33 papers that have together received 469 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (12 papers), Diet, Metabolism, and Disease (5 papers), Alcohol Consumption and Health Effects (5 papers), Hepatitis B Virus Studies (3 papers), COVID-19 Clinical Research Studies (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), SARS-CoV-2 detection and testing (2 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). The work is most often cited by research in Hepatology (55 citations), Infectious Diseases (113 citations), Cancer Research (67 citations), Pathology and Forensic Medicine (74 citations) and Epidemiology (140 citations). Xiaolan Lu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Qin Du, Qiang Wang, Xiaolan Guo, Guoyuan Zhang, Bin Guo, Qiang Ma, Bing Zhang, Fang Li, Guoyuan Zhang and Dongsheng Wang. Their work appears in journals such as Scientific Reports, World Journal of Gastroenterology, Obesity Facts, Medicine and Journal of Cellular Physiology.

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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