Wei‐Fu Lv

1.5k citations
52 papers · 635 · h-index 14

Impact in

  • Hepatology top 5%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Liver Disease and Transplantation
    • COVID-19 Clinical Research Studies

Papers in

Wei‐Fu Lv

49 papers receiving 623 citations

Peers

Wei‐Fu Lv
Comparison fields: 5 of 79
  • Hepatology 169
  • Infectious Diseases 112
  • Radiology, Nuclear Medicine and Imaging 99
  • Health Informatics 6
  • Pulmonary and Respiratory Medicine 90
Replace Gianluigi Patelli with:
Gianluigi Patelli Italy
Sonja K. Olsen United States
Serena Carriero Italy
Yu Jun Wong Singapore
Chao‐Wei Lee Taiwan
Junwei Su China
Sangjoon Choi South Korea
Nicola Santelmo France
Daniela Lenggenhager Switzerland
Denis Hochstrasser Switzerland
Wei‐Fu Lv relative to Gianluigi Patelli Italy Gianluigi Patelli's profile →
Citations per field
00.5×3.8×
Gianluigi Patelli · 1×
Citations per year

Countries citing papers authored by Wei‐Fu Lv

Since Specialization
Citations

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

Fields of papers citing papers by Wei‐Fu Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei‐Fu Lv. 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 Wei‐Fu Lv. The network helps show where Wei‐Fu Lv may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020169
2 201641
3 202238
4 202128
5 201822
6
Predictive accuracy comparison of MELD and Child-Turcotte-Pugh scores for survival in patients underwent TIPS placement: a systematic meta-analytic review.
201521
7
Prognostic factors for acute kidney injury following transarterial chemoembolization in patients with hepatocellular carcinoma.
201421
8 202019
9 202218
10 201918
11 201517
12 202417
13 201914
14 201814
15 202313
16 201712
17 201511
18 201910
19 20239
20 20228

About Wei‐Fu Lv

Wei‐Fu Lv is a scholar working on Hepatology, Pulmonary and Respiratory Medicine, Oncology, Surgery and Pathology and Forensic Medicine, having authored 52 papers that have together received 635 indexed citations. Recurring topics across this work include Liver Disease and Transplantation (13 papers), Hepatocellular Carcinoma Treatment and Prognosis (12 papers), Gallbladder and Bile Duct Disorders (4 papers), Cancer Mechanisms and Therapy (3 papers), Nanoplatforms for cancer theranostics (3 papers), Liver Disease Diagnosis and Treatment (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Pancreatic and Hepatic Oncology Research (2 papers). The work is most often cited by research in Hepatology (169 citations), Infectious Diseases (112 citations), Radiology, Nuclear Medicine and Imaging (99 citations), Health Informatics (6 citations) and Pulmonary and Respiratory Medicine (90 citations). Wei‐Fu Lv has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Chunze Zhou, Ping Xu, Wei Wei, Dong Lu, Wenjing Tang, Yusheng He, Yucai Wang, Weiwei Fang, Ruifeng Wang and Wei Jiang. Their work appears in journals such as Journal of Clinical Oncology, Hepatology International, Drug Design Development and Therapy, CardioVascular and Interventional Radiology and Medicine.

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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