Fudong Lv

621 citations
13 papers · 312 · h-index 9

Impact in

  • Hepatology top 10%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Pancreatic and Hepatic Oncology Research 3
    • Vascular Tumors and Angiosarcomas 1
    • Hepatocellular Carcinoma Treatment and Prognosis 3

Fudong Lv

12 papers receiving 309 citations

Peers

Fudong Lv
Comparison fields: 5 of 58
  • Hepatology 84
  • Cancer Research 102
  • Oncology 92
  • Epidemiology 88
  • Cell Biology 39
Replace Kyung Joo Cho with:
Kyung Joo Cho South Korea
Xiong Ding China
Ibone Labiano Spain
Jiequn Li China
Kwan Man Hong Kong
Gao‐Min Liu China
Keerthi Kurma France
Siyuan Tian China
Atsutaka Masuda Japan
Fudong Lv relative to Kyung Joo Cho South Korea Kyung Joo Cho's profile →
Citations per field
00.5×1.7×
Kyung Joo Cho · 1×
Citations per year

Countries citing papers authored by Fudong Lv

Since Specialization
Citations

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

Fields of papers citing papers by Fudong Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 201276
2 201653
3 201846
4 201640
5 201834
6 201723
7 201811
8
Pathological characteristics of liver biopsies in eight patients with hepatic epithelioid hemangioendothelioma.
20159
9 20218
10 20225
11 20244
12 20213
13 20240

About Fudong Lv

Fudong Lv is a scholar working on Oncology, Hepatology, Molecular Biology, Surgery and Epidemiology, having authored 13 papers that have together received 312 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), Glycosylation and Glycoproteins Research (2 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers), Lymphoma Diagnosis and Treatment (2 papers), MicroRNA in disease regulation (1 paper), Vascular Tumors and Angiosarcomas (1 paper) and Pancreatitis Pathology and Treatment (1 paper). The work is most often cited by research in Hepatology (84 citations), Cancer Research (102 citations), Oncology (92 citations), Epidemiology (88 citations) and Cell Biology (39 citations). Fudong Lv has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Daojie Liu, Dexi Chen, Feng Ji-liang, Ning Li, Ronghua Jin, Kai Liu, Xiaoli Zhang, Lifeng Liu, Lin Sun and Shijie Zhang. Their work appears in journals such as Human Gene Therapy, BioMed Research International, Cell Death and Disease, Frontiers in Immunology and Journal of Gastroenterology and Hepatology.

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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