Xiaoding Liu

702 citations
18 papers · 287 · h-index 11

Impact in

    • Cancer Genomics and Diagnostics
    • Cancer-related molecular mechanisms research
    • Pancreatic and Hepatic Oncology Research

Papers in

    • Pancreatic and Hepatic Oncology Research 8
    • Cancer Cells and Metastasis 2
    • Cancer Immunotherapy and Biomarkers 2
    • Epigenetics and DNA Methylation 3
    • Fibroblast Growth Factor Research 2

Xiaoding Liu

18 papers receiving 285 citations

Peers

Xiaoding Liu
Comparison fields: 5 of 47
  • Cancer Research 99
  • Oncology 112
  • Endocrinology, Diabetes and Metabolism 56
  • Pathology and Forensic Medicine 43
  • Molecular Biology 126
Replace Ivan Marković with:
Ivan Marković Serbia
Zsombor Melegh United Kingdom
Tsunehisa Nomura Japan
Fabio De Martino Switzerland
Richard Lupat Australia
A Koch Germany
Miao Lu China
Gregory Miles United States
Priyanka Tibarewal United Kingdom
Jana Samarin Germany
Xiaoding Liu relative to Ivan Marković Serbia Ivan Marković's profile →
Citations per field
00.5×1.5×2.3×
Ivan Marković · 1×
Citations per year

Countries citing papers authored by Xiaoding Liu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoding Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 201946
2 202140
3 202229
4 201925
5 202223
6 202221
7 202017
8 202114
9 202114
10 202312
11 202111
12 202210
13 20217
14 20156
15 20205
16 20194
17 20212
18 20241

About Xiaoding Liu

Xiaoding Liu is a scholar working on Oncology, Molecular Biology, Cancer Research, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 18 papers that have together received 287 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (8 papers), Cancer Genomics and Diagnostics (6 papers), Genetic factors in colorectal cancer (4 papers), Epigenetics and DNA Methylation (3 papers), Cancer Cells and Metastasis (2 papers), Ferroptosis and cancer prognosis (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Fibroblast Growth Factor Research (2 papers). The work is most often cited by research in Cancer Research (99 citations), Oncology (112 citations), Endocrinology, Diabetes and Metabolism (56 citations), Pathology and Forensic Medicine (43 citations) and Molecular Biology (126 citations). Xiaoding Liu has collaborated with scholars based in China. Frequent co-authors include Zhiyong Liang, Huanwen Wu, Hui Zhang, Huanli Duan, Xinyu Ren, Wei‐Min Tong, Ruiyu Li, Zhiwen Zhang, Menghua Dai and Yamei Niu. Their work appears in journals such as Medicine, Frontiers in Cell and Developmental Biology, Frontiers in Immunology, BMC Medicine and IEEE Geoscience and Remote Sensing Letters.

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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