Xiaoran Long

723 citations
14 papers · 589 · 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

Xiaoran Long

14 papers receiving 583 citations

Peers

Xiaoran Long
Comparison fields: 5 of 67
  • Hepatology 169
  • Cancer Research 264
  • Molecular Biology 283
  • Epidemiology 101
  • Reproductive Medicine 19
Replace Shail Maheshwari with:
Shail Maheshwari United States
Jiongjiong Lu China
Meng‐chao Wang China
Xieju Xie China
Yadi Liao China
Xu Fan China
Lina Mizrahi Israel
Joanne Chiu China
So Hee Kang South Korea
Zuotian Huang China
Xiaoran Long relative to Shail Maheshwari United States Shail Maheshwari's profile →
Citations per field
00.5×2.9×
Shail Maheshwari · 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 2012135
2 2012106
3 2019105
4 201457
5 201351
6 202034
7 202126
8 202125
9 201917
10 201616
11 20207
12 20155
13 20234
14 20231

About Xiaoran Long

Xiaoran Long is a scholar working on Cancer Research, Molecular Biology, Hepatology, Cell Biology and Reproductive Medicine, having authored 14 papers that have together received 589 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), MicroRNA in disease regulation (3 papers), Caveolin-1 and cellular processes (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Liver physiology and pathology (2 papers), Ovarian cancer diagnosis and treatment (2 papers), Sphingolipid Metabolism and Signaling (2 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (1 paper). The work is most often cited by research in Hepatology (169 citations), Cancer Research (264 citations), Molecular Biology (283 citations), Epidemiology (101 citations) and Reproductive Medicine (19 citations). Xiaoran Long has collaborated with scholars based in China, Israel and Hong Kong. Frequent co-authors include Yong He, Cheng Zhi Huang, Jun Li, Xu Sun, 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, Cancer Medicine and Scientific Reports.

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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