Kang–Da Liu

1.5k citations
41 papers · 1.2k · h-index 18

Impact in

  • Hepatology top 2%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Liver physiology and pathology
    • Cancer, Hypoxia, and Metabolism

Papers in

Kang–Da Liu

41 papers receiving 1.2k citations

Peers

Kang–Da Liu
Comparison fields: 5 of 74
  • Hepatology 411
  • Cancer Research 329
  • Immunology and Allergy 77
  • Oncology 302
  • Molecular Biology 600
Replace Cristina Basilico with:
Cristina Basilico Italy
Mary Matli United States
Qiong Xue China
Gaynor Davies United Kingdom
Akihiro Iemura Japan
Sujatha Jagadeeswaran United States
S. Vignati Italy
Zeng‐Chen Ma China
C Lu Japan
Soji Kakiuchi Japan
Kang–Da Liu relative to Cristina Basilico Italy Cristina Basilico's profile →
Citations per field
00.5×1.5×2.2×
Cristina Basilico · 1×
Citations per year

Countries citing papers authored by Kang–Da Liu

Since Specialization
Citations

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

Fields of papers citing papers by Kang–Da Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004386
2 2008184
3 201083
4 200362
5 200446
6 201039
7 199538
8 200637
9 200837
10 200133
11 199030
12 199523
13 199121
14 200221
15 199620
16 200919
17 199319
18 199717
19 199817
20 199216

About Kang–Da Liu

Kang–Da Liu is a scholar working on Hepatology, Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging and Cancer Research, having authored 41 papers that have together received 1.2k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (13 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Cancer Research and Treatments (6 papers), Glycosylation and Glycoproteins Research (5 papers), Cancer-related Molecular Pathways (4 papers), Cancer Mechanisms and Therapy (4 papers), Cancer Genomics and Diagnostics (3 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers). The work is most often cited by research in Hepatology (411 citations), Cancer Research (329 citations), Immunology and Allergy (77 citations), Oncology (302 citations) and Molecular Biology (600 citations). Kang–Da Liu has collaborated with scholars based in China, India and Germany. Frequent co-authors include Zhao–You Tang, Hui‐Chuan Sun, Jia Fan, Jian Zhou, Xin‐Da Zhou, Lun–Xiu Qin, Zhiying Lin, Zeng‐Chen Ma, Yinkun Liu and Sheng‐Long Ye. Their work appears in journals such as Journal of Cancer Research and Clinical Oncology, World Journal of Gastroenterology, Cancer Immunology Immunotherapy, World Journal of Surgery and Cancer.

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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