Libo Si

526 citations
29 papers · 406 · h-index 14

Impact in

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

Papers in

    • RNA modifications and cancer 9
    • Circular RNAs in diseases 4
    • Cancer-related gene regulation 3
    • Cancer-related molecular mechanisms research 8
    • MicroRNA in disease regulation 4

Libo Si

28 papers receiving 398 citations

Peers

Libo Si
Comparison fields: 5 of 67
  • Cancer Research 128
  • Molecular Biology 296
  • Oncology 76
  • Pathology and Forensic Medicine 46
  • Pulmonary and Respiratory Medicine 60
Replace Xiaohong Ai with:
Xiaohong Ai China
Linlin Sun China
Songhan Li China
Aristeidis E. Boukouris Canada
Kam-Fai Lee Taiwan
Junfang Lyu Macao
Lili Yan China
Kuo-Hao Ho Taiwan
Libo Si relative to Xiaohong Ai China Xiaohong Ai's profile →
Citations per field
00.5×4.3×
Xiaohong Ai · 1×
Citations per year

Countries citing papers authored by Libo Si

Since Specialization
Citations

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

Fields of papers citing papers by Libo Si

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201240
2 201433
3 201630
4 201325
5 201725
6 201423
7 201422
8 201521
9 201421
10 201416
11 201616
12 201316
13 201415
14 202114
15 201413
16 201411
17 201811
18 201410
19 202110
20 20188

About Libo Si

Libo Si is a scholar working on Molecular Biology, Cancer Research, Oncology, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine, having authored 29 papers that have together received 406 indexed citations. Recurring topics across this work include RNA modifications and cancer (9 papers), Cancer-related molecular mechanisms research (8 papers), Peptidase Inhibition and Analysis (5 papers), MicroRNA in disease regulation (4 papers), Circular RNAs in diseases (4 papers), Lung Cancer Treatments and Mutations (3 papers), Cancer-related gene regulation (3 papers) and Acute Lymphoblastic Leukemia research (2 papers). The work is most often cited by research in Cancer Research (128 citations), Molecular Biology (296 citations), Oncology (76 citations), Pathology and Forensic Medicine (46 citations) and Pulmonary and Respiratory Medicine (60 citations). Libo Si has collaborated with scholars based in China. Frequent co-authors include Shuhai Li, Cun Gao, Weiming Yue, Hui Tian, Ming Lü, Lei Qi, Hui Tian, Bin Hao, Lei Qi and Lin Li. Their work appears in journals such as Medical Oncology, PLoS ONE, Oncology Reports, Acta Biochimica et Biophysica Sinica and Cell & Bioscience.

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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