Ran Xue

1.2k citations
36 papers · 719 · h-index 16

Impact in

Papers in

    • Liver Disease Diagnosis and Treatment 5
    • Autophagy in Disease and Therapy 3
    • Mitochondrial Function and Pathology 4
    • Genomics, phytochemicals, and oxidative stress 3

Ran Xue

35 papers receiving 713 citations

Peers

Ran Xue
Comparison fields: 5 of 90
  • Hepatology 71
  • Pharmacology 45
  • Cancer Research 68
  • Endocrinology, Diabetes and Metabolism 68
  • Epidemiology 112
Replace Simon M. Schultze with:
Simon M. Schultze Switzerland
Kavita Jadhav United States
Benita L. McVicker United States
Qianqian Tu China
Xuguang Hu China
Jittima Weerachayaphorn Thailand
Sun‐O Ka South Korea
Quan Jin China
Karen M. Kassel United States
Ran Xue relative to Simon M. Schultze Switzerland Simon M. Schultze's profile →
Citations per field
00.5×1.5×1.9×
Simon M. Schultze · 1×
Citations per year

Countries citing papers authored by Ran Xue

Since Specialization
Citations

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

Fields of papers citing papers by Ran Xue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201886
2 201454
3 201950
4 201848
5 202046
6 201743
7 201940
8 202239
9 202029
10 201929
11 201826
12 201724
13 201723
14 201922
15 201921
16 201916
17 201915
18 202015
19 201813
20 201712

About Ran Xue

Ran Xue is a scholar working on Epidemiology, Molecular Biology, Hepatology, Oncology and Surgery, having authored 36 papers that have together received 719 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (5 papers), Liver Disease and Transplantation (4 papers), Mitochondrial Function and Pathology (4 papers), Drug-Induced Hepatotoxicity and Protection (3 papers), Genomics, phytochemicals, and oxidative stress (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), Autophagy in Disease and Therapy (3 papers) and Metabolism and Genetic Disorders (2 papers). The work is most often cited by research in Hepatology (71 citations), Pharmacology (45 citations), Cancer Research (68 citations), Endocrinology, Diabetes and Metabolism (68 citations) and Epidemiology (112 citations). Ran Xue has collaborated with scholars based in China, Ethiopia and United States. Frequent co-authors include Qinghua Meng, Jianyu Hao, Yanbin Wang, Jing Wu, Shenshen Zhang, Yueke Zhu, Jianxin Wang, Jing Yang, Kai Jia and Lingyun Gao. Their work appears in journals such as Oxidative Medicine and Cellular Longevity, Medicine, Oncotarget, British Journal of Cancer and Journal of Clinical Oncology.

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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