Xiaoran Long

718 citations
14 papers · 575 · h-index 10

Impact in

  • Hepatology top 5%
    • Liver physiology and pathology
    • Hepatocellular Carcinoma Treatment and Prognosis
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • RNA modifications and cancer 3
    • Circular RNAs in diseases 3
    • Sphingolipid Metabolism and Signaling 2
    • Cancer-related molecular mechanisms research 6
    • MicroRNA in disease regulation 3

Xiaoran Long

14 papers receiving 570 citations

Peers

Xiaoran Long
Comparison fields: 5 of 69
  • Hepatology 179
  • Cancer Research 309
  • Molecular Biology 338
  • Epidemiology 131
  • Pathology and Forensic Medicine 44
Replace Juqiang Han with:
Juqiang Han China
Meng‐chao Wang China
Chenlong Song China
Can‐Jie Guo China
Daniela Pollutri Italy
Jiongjiong Lu China
Jinjin Qi China
Guohong Ge China
Yasuhiro Yumoto Japan
Xieju Xie China
Xiaoran Long relative to Juqiang Han China Juqiang Han's profile →
Citations per field
00.5×1.5×2.5×
Juqiang Han · 1×
Citations per year

Countries citing papers authored by Xiaoran Long

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoran Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2012134
2 2012105
3 2019103
4 201456
5 201350
6 202031
7 202125
8 202124
9 201615
10 201915
11 20207
12 20155
13 20234
14 20231

About Xiaoran Long

Xiaoran Long is a scholar working on Molecular Biology, Cancer Research, Hepatology, Epidemiology and Reproductive Medicine, having authored 14 papers that have together received 575 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), MicroRNA in disease regulation (3 papers), RNA modifications and cancer (3 papers), Ovarian cancer diagnosis and treatment (3 papers), Circular RNAs in diseases (3 papers), Caveolin-1 and cellular processes (2 papers), Sphingolipid Metabolism and Signaling (2 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). The work is most often cited by research in Hepatology (179 citations), Cancer Research (309 citations), Molecular Biology (338 citations), Epidemiology (131 citations) and Pathology and Forensic Medicine (44 citations). Xiaoran Long has collaborated with scholars based in China, Israel and Hong Kong. Frequent co-authors include Yong He, Jun Li, Xu Sun, Cheng Zhi Huang, Xiongwen Lv, Wen Di, Wenjing Wang, Keqi Song, Shengpeng Zhang and Dong Qian. Their work appears in journals such as Journal of Experimental & Clinical Cancer Research, Cellular Signalling, PLoS ONE, Scientific Reports and Journal of Translational Medicine.

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.

Explore authors with similar magnitude of impact