Linka Xie

669 citations
17 papers · 533 · h-index 11

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Inflammatory Biomarkers in Disease Prognosis

Papers in

    • FOXO transcription factor regulation 5
    • Cancer-related gene regulation 2
    • HER2/EGFR in Cancer Research 3
    • Cancer Treatment and Pharmacology 2
    • Cancer Cells and Metastasis 2

Linka Xie

15 papers receiving 530 citations

Peers

Linka Xie
Comparison fields: 5 of 62
  • Cancer Research 149
  • Oncology 165
  • Molecular Biology 360
  • Pathology and Forensic Medicine 92
  • Aging 8
Replace Sally E. Trabucco with:
Sally E. Trabucco United States
T Honda Japan
Jia-Hong Chen Taiwan
Hye Ree Kim South Korea
Silvia Bombelli Italy
Fatao Liu China
Chenghao Wang China
Anne T. Schneider Germany
Lei Yin China
Hui-Lan Rao China
Linka Xie relative to Sally E. Trabucco United States Sally E. Trabucco's profile →
Citations per field
00.5×2.6×
Sally E. Trabucco · 1×
Citations per year

Countries citing papers authored by Linka Xie

Since Specialization
Citations

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

Fields of papers citing papers by Linka Xie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2012141
2 2010110
3 201658
4 201935
5 201534
6 201432
7 201829
8 201328
9 201818
10 201816
11 201413
12 20167
13 20214
14 20194
15 20224
16 20250
17 20250

About Linka Xie

Linka Xie is a scholar working on Molecular Biology, Oncology, Cancer Research, Pathology and Forensic Medicine and Immunology, having authored 17 papers that have together received 533 indexed citations. Recurring topics across this work include FOXO transcription factor regulation (5 papers), Lymphoma Diagnosis and Treatment (4 papers), HER2/EGFR in Cancer Research (3 papers), Cancer-related molecular mechanisms research (3 papers), Cancer Treatment and Pharmacology (2 papers), Cancer Cells and Metastasis (2 papers), Sarcoma Diagnosis and Treatment (2 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Cancer Research (149 citations), Oncology (165 citations), Molecular Biology (360 citations), Pathology and Forensic Medicine (92 citations) and Aging (8 citations). Linka Xie has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Hanfeng Guan, Thomas Wirth, Alexey Ushmorov, Frank Leithäuser, Peter Möller, Marion Vogel, Christian Steidl, Harald J. Maier, Randy D. Gascoyne and Liang Shi. Their work appears in journals such as Blood, Oncotarget, Aging, Scientific Reports and Spine.

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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