Xiaohan Yuan

507 citations
35 papers · 397 · h-index 13

Impact in

Papers in

    • RNA Research and Splicing 4
    • RNA modifications and cancer 4
    • PI3K/AKT/mTOR signaling in cancer 4
    • Polyamine Metabolism and Applications 2
    • Pancreatic and Hepatic Oncology Research 3

Xiaohan Yuan

29 papers receiving 396 citations

Peers

Xiaohan Yuan
Comparison fields: 5 of 85
  • Nephrology 38
  • Cancer Research 48
  • Agronomy and Crop Science 32
  • Molecular Biology 211
  • Biochemistry 18
Replace Xi Liang with:
Xi Liang China
Xinying Zhu China
Arul M. Mani United States
Sushmita Bhattacharya India
Renxu Chang China
Bei Yan China
Hildegard Holzinger Germany
Kalaiselvi Palanisamy Taiwan
Fuli Shi China
Xiaohan Yuan relative to Xi Liang China Xi Liang's profile →
Citations per field
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Xi Liang · 1×
Citations per year

Countries citing papers authored by Xiaohan Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohan Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201863
2 201756
3 201934
4 201730
5 201923
6 201720
7 201418
8 201718
9 202016
10 202214
11 201714
12 202013
13 201712
14 201911
15 20218
16 20198
17 20227
18 20195
19 20155
20 20195

About Xiaohan Yuan

Xiaohan Yuan is a scholar working on Molecular Biology, Oncology, Nephrology, Genetics and Plant Science, having authored 35 papers that have together received 397 indexed citations. Recurring topics across this work include RNA Research and Splicing (4 papers), Renal Diseases and Glomerulopathies (4 papers), RNA modifications and cancer (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Animal Genetics and Reproduction (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), Polyamine Metabolism and Applications (2 papers) and Cell Adhesion Molecules Research (2 papers). The work is most often cited by research in Nephrology (38 citations), Cancer Research (48 citations), Agronomy and Crop Science (32 citations), Molecular Biology (211 citations) and Biochemistry (18 citations). Xiaohan Yuan has collaborated with scholars based in China and United States. Frequent co-authors include Xuejun Gao, Minghui Zhang, Zhen Zhen, Cheng‐Bo Gu, Dongying Chen, Zhaowei Chen, Yanbo Yu, Guohua Ding, Huiming Wang and Qi Yan. Their work appears in journals such as Cell Biochemistry and Function, Cell Biology International, Journal of Cellular Physiology, Molecules and Frontiers in 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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