Hong Wu

5.6k citations
135 papers · 3.4k indexed · 3 hit papers · h-index 28

Hong Wu

128 papers receiving 3.4k citations

Hit Papers

The p...242010202620152020200400600

Peers

Hong Wu
Comparison fields: 5 of 128
  • Hepatology 1.3k
  • Cancer Research 662
  • Epidemiology 894
  • Surgery 1.0k
  • Oncology 603
Replace Tõru Nakamura with:
Tõru Nakamura Japan
Bo Hyun Kim South Korea
Jong Eun Yeon South Korea
Xinting Sang China
Toshihiko Mizuta Japan
Oliver F. Bathe Canada
Noboru Harada Japan
Frank Viborg Mortensen Denmark
Eliane Angst Switzerland
Christoph Roderburg Germany
Hong Wu relative to Tõru Nakamura Japan Tõru Nakamura's profile →
Citations per field
00.5×2.8×
Tõru Nakamura · 1×
Citations per year

Countries citing papers authored by Hong Wu

Since Specialization
Citations

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

Fields of papers citing papers by Hong Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2
The protein circPETH-147aa regulates metabolic reprogramming in hepatocellular carcinoma cells to remodel immunosuppressive microenvironmentbreakdown →
202524
3 20253
4 20235
5 20239
6 20225
7 20192
8 20190
9 20199
10
Contrast enhanced intraoperative ultrasonography-guided radiofrequency ablation of recurrent hepatocellular carcinoma after hepatectomy through percutaneous or open approach: a retrospective cohort study
20181
11 20160
12
[Value of focused critical ultrasound in the treatment of critical patients in Lushan earthquake].
20142
13 20148
14 201438
15 201423
16 201219
17 20117
18 201127
19
A Randomized Trial Comparing Radiofrequency Ablation and Surgical Resection for HCC Conforming to the Milan Criteriabreakdown →
2010610
20 200914

About Hong Wu

Hong Wu is a scholar working on Hepatology, Transplantation and Surgery, having authored 135 papers that have together received 3.4k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (32 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (31 papers), Liver Disease and Transplantation (29 papers), Organ Transplantation Techniques and Outcomes (29 papers), Pancreatic and Hepatic Oncology Research (19 papers), Gallbladder and Bile Duct Disorders (16 papers), Liver Disease Diagnosis and Treatment (15 papers) and Organ Donation and Transplantation (8 papers). The work is most often cited by research in Hepatology (1.3k citations), Cancer Research (662 citations) and Epidemiology (894 citations). Hong Wu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Yong Zeng, Jiwei Huang, Lvnan Yan, Yinglong Xu, Liang Du, Zheyu Cheng, Jinzhou Wang, Kunlin Xie, Kefei Yuan and Mingheng Liao. Their work appears in journals such as Nature Communications, Hepatology and Cancer Research.

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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