Xue Nan

1.8k citations
66 papers · 1.5k · h-index 21

Impact in

  • Genetics top 5%
    • Mesenchymal stem cell research
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Mesenchymal stem cell research 19
    • Liver physiology and pathology 9

Xue Nan

60 papers receiving 1.4k citations

Peers

Xue Nan
Comparison fields: 5 of 104
  • Genetics 384
  • Cancer Research 235
  • Geriatrics and Gerontology 49
  • Developmental Neuroscience 51
  • Hepatology 86
Replace Quan Zeng with:
Quan Zeng China
Yulin Li China
Elena Birman Canada
Kiek N. Verrijp Netherlands
Jiafei Xi China
Angela Bentivegna Italy
Lara Longobardi United States
Yi Shuai China
Peter Conrad Stapor United States
Gaohui Zhu China
Xue Nan relative to Quan Zeng China Quan Zeng's profile →
Citations per field
00.5×1.5×2.0×
Quan Zeng · 1×
Citations per year

Countries citing papers authored by Xue Nan

Since Specialization
Citations

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

Fields of papers citing papers by Xue Nan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015142
2 2011127
3 2011111
4 201380
5 202076
6 201962
7 200453
8 201246
9 200844
10 201243
11 201742
12 200841
13 201840
14 200839
15 201332
16 201830
17 200929
18 201329
19 201026
20 202225

About Xue Nan

Xue Nan is a scholar working on Genetics, Hepatology, Molecular Biology, Hematology and Surgery, having authored 66 papers that have together received 1.5k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (19 papers), Pluripotent Stem Cells Research (12 papers), Pancreatic function and diabetes (10 papers), Liver physiology and pathology (9 papers), Renal and related cancers (5 papers), MicroRNA in disease regulation (4 papers), RNA Interference and Gene Delivery (4 papers) and Cancer Cells and Metastasis (4 papers). The work is most often cited by research in Genetics (384 citations), Cancer Research (235 citations), Geriatrics and Gerontology (49 citations), Developmental Neuroscience (51 citations) and Hepatology (86 citations). Xue Nan has collaborated with scholars based in China, Mexico and India. Frequent co-authors include Xuetao Pei, Wen Yue, Quan Zeng, Jiafei Xi, Junnian Zhou, Cixian Bai, Lijuan He, Xinlong Yan, Lijuan He and Yi Jia. Their work appears in journals such as Journal of Cellular Physiology, Cell Death and Disease, Cell Proliferation, PLoS ONE and Tissue Engineering Part C Methods.

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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