Shaoru Li

728 citations
34 papers · 422 · h-index 11

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Circular RNAs in diseases
    • RNA modifications and cancer
    • RNA Research and Splicing

Papers in

Shaoru Li

29 papers receiving 418 citations

Peers

Shaoru Li
Comparison fields: 5 of 75
  • Cancer Research 161
  • Molecular Biology 193
  • Oncology 67
  • Immunology 45
  • Hematology 20
Replace Qirong Geng with:
Qirong Geng China
Elizabeth Jordan United States
Jingzhe Sui China
Chenyue Qian China
Elina Zorde‐Khvalevsky Israel
Yao Fan China
Xiujie Sheng China
Michał Jankowski Poland
Anne‐Chantal Braud France
Agnieszka Synowiec Poland
Shaoru Li relative to Qirong Geng China Qirong Geng's profile →
Citations per field
00.5×1.5×2.0×
Qirong Geng · 1×
Citations per year

Countries citing papers authored by Shaoru Li

Since Specialization
Citations

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

Fields of papers citing papers by Shaoru Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201870
2 200957
3 201849
4 202136
5 201833
6 201432
7 201225
8 201424
9 201214
10 201913
11 202311
12
Association of GSTs polymorphisms with risk of gestational diabetes mellitus.
20158
13 20197
14 20236
15 20236
16 20236
17 20245
18 20224
19 20253
20 20243

About Shaoru Li

Shaoru Li is a scholar working on Molecular Biology, Nutrition and Dietetics, Cancer Research, Cardiology and Cardiovascular Medicine and Pediatrics, Perinatology and Child Health, having authored 34 papers that have together received 422 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (4 papers), Infant Nutrition and Health (4 papers), Birth, Development, and Health (4 papers), Cancer-related molecular mechanisms research (4 papers), Gestational Diabetes Research and Management (3 papers), Child Nutrition and Water Access (3 papers), Gut microbiota and health (3 papers) and Heart Rate Variability and Autonomic Control (3 papers). The work is most often cited by research in Cancer Research (161 citations), Molecular Biology (193 citations), Oncology (67 citations), Immunology (45 citations) and Hematology (20 citations). Shaoru Li has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Haifeng Qiu, Li Li, Huimin Guo, Shenghua Yang, Hongxia Zhang, Shijin Wang, Jinjin Yu, Jie Jiang, Haixia Qin and Fangfang Nan. Their work appears in journals such as Scientific Reports, International Journal of Gynecological Cancer, BMC Public Health, Environmental Science and Pollution Research and Frontiers in Endocrinology.

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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