Jun‐Hua Lu

1.3k citations
33 papers · 1.0k indexed · h-index 17

Impact in

  • Hepatology top 2%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Liver Disease and Transplantation
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Cholangiocarcinoma and Gallbladder Cancer Studies 7
    • Hepatocellular Carcinoma Treatment and Prognosis 9

Jun‐Hua Lu

32 papers receiving 998 citations

Peers

Jun‐Hua Lu
Comparison fields: 5 of 78
  • Hepatology 400
  • Cancer Research 208
  • Oncology 267
  • Surgery 367
  • Epidemiology 237
Replace Kenya Yamanaka with:
Kenya Yamanaka Japan
Clare Pattenden United Kingdom
Donglin Sun China
Sedat Karademır Türkiye
Paolo Massucco Italy
Simon H. Y. Tsang Hong Kong
Yidong Cai China
Jiayin Yang China
Francesco Giovinazzo Italy
Brian Shrager United States
Jun‐Hua Lu relative to Kenya Yamanaka Japan Kenya Yamanaka's profile →
Citations per field
00.5×1.5×1.8×
Kenya Yamanaka · 1×
Citations per year

Countries citing papers authored by Jun‐Hua Lu

Since Specialization
Citations

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

Fields of papers citing papers by Jun‐Hua Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun‐Hua Lu. 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 Jun‐Hua Lu. The network helps show where Jun‐Hua Lu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011152
2 201592
3 201584
4 200980
5 201269
6 201457
7 201649
8 201343
9 201242
10 201041
11
Preoperative serum CA19-9 levels is an independent prognostic factor in patients with resected hilar cholangiocarcinoma.
201437
12 201335
13 201429
14 202029
15 201324
16 201623
17 202121
18 201415
19 201812
20 202211

About Jun‐Hua Lu

Jun‐Hua Lu is a scholar working on Surgery, Hepatology, Molecular Biology, Oncology and Cancer Research, having authored 33 papers that have together received 1.0k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (9 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (7 papers), Liver Disease Diagnosis and Treatment (5 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Circular RNAs in diseases (3 papers), Renal cell carcinoma treatment (3 papers), Gallbladder and Bile Duct Disorders (3 papers) and MicroRNA in disease regulation (3 papers). The work is most often cited by research in Hepatology (400 citations), Cancer Research (208 citations), Oncology (267 citations), Surgery (367 citations) and Epidemiology (237 citations). Jun‐Hua Lu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Tian Yang, Mengchao Wu, Guang-Shun Yang, Weifeng Yu, Guang‐Shun Yang, Jin Zhang, Wan Yee Lau, Yinan Shen, Feng Shen and Yongpeng Wei. Their work appears in journals such as World Journal of Surgery, Journal of Cancer Research and Clinical Oncology, Cancer Imaging, Gut and Cellular Physiology and Biochemistry.

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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