Xiaolan Su

1.8k citations
44 papers · 916 · h-index 19

Impact in

Papers in

    • RNA modifications and cancer 8
    • Epigenetics and DNA Methylation 5
    • RNA Interference and Gene Delivery 4
    • Angiogenesis and VEGF in Cancer 3
    • Cytokine Signaling Pathways and Interactions 3
    • Cancer Cells and Metastasis 3

Xiaolan Su

43 papers receiving 906 citations

Peers

Xiaolan Su
Comparison fields: 5 of 91
  • Cancer Research 221
  • Immunology 192
  • Oncology 218
  • Molecular Biology 491
  • Biomaterials 79
Replace Christina Körbel with:
Christina Körbel Germany
Shengping Huang United States
Magdalena Jarosz–Biej Poland
Anuradha Bulbule India
Anna Pastò Italy
Gang Shi China
Alessandro Gulino Italy
Lixin Liu China
Xiaotian Yuan China
Xiaolan Su relative to Christina Körbel Germany Christina Körbel's profile →
Citations per field
00.5×1.5×
Christina Körbel · 1×
Citations per year

Countries citing papers authored by Xiaolan Su

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolan Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201787
2 201476
3 201760
4 201244
5 201637
6 201737
7 201534
8 201532
9 201732
10 202029
11 201926
12 202025
13 201825
14 202222
15 201821
16 201221
17 201220
18 201919
19 201919
20 201218

About Xiaolan Su

Xiaolan Su is a scholar working on Molecular Biology, Oncology, Cancer Research, Immunology and Surgery, having authored 44 papers that have together received 916 indexed citations. Recurring topics across this work include RNA modifications and cancer (8 papers), Epigenetics and DNA Methylation (5 papers), RNA Interference and Gene Delivery (4 papers), MicroRNA in disease regulation (4 papers), Cytokine Signaling Pathways and Interactions (3 papers), Cancer Cells and Metastasis (3 papers), Cancer-related molecular mechanisms research (3 papers) and Angiogenesis and VEGF in Cancer (3 papers). The work is most often cited by research in Cancer Research (221 citations), Immunology (192 citations), Oncology (218 citations), Molecular Biology (491 citations) and Biomaterials (79 citations). Xiaolan Su has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Yuquan Wei, Lei Dai, Hongxin Deng, Lin Cheng, Gang Shi, Yuqin Yao, Shuang Zhang, Xinmei Luo, Xiaolei Chen and Qianqian Jiang. Their work appears in journals such as Oncotarget, Stem Cell Research & Therapy, Biomaterials, Journal of Cancer Research and Clinical Oncology and Mucosal Immunology.

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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