Junyu Long

3.6k citations
86 papers · 2.7k · h-index 31

Impact in

  • Hepatology top 2%
    • Hepatocellular Carcinoma Treatment and Prognosis
  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers
    • Inflammatory Biomarkers in Disease Prognosis

Papers in

    • Hepatocellular Carcinoma Treatment and Prognosis 17
    • Cancer Immunotherapy and Biomarkers 17
    • Inflammatory Biomarkers in Disease Prognosis 4
    • Pancreatic and Hepatic Oncology Research 2

Junyu Long

84 papers receiving 2.7k citations

Peers

Junyu Long
Comparison fields: 5 of 80
  • Hepatology 573
  • Oncology 675
  • Cancer Research 405
  • Surgery 636
  • Pulmonary and Respiratory Medicine 234
Replace Xiaobo Yang with:
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Ray‐Hwang Yuan Taiwan
Hisashi Ikoma Japan
Xiangcheng Li China
Kenichiro Araki Japan
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Junyu Long relative to Xiaobo Yang China Xiaobo Yang's profile →
Citations per field
00.5×1.5×
Xiaobo Yang · 1×
Citations per year

Countries citing papers authored by Junyu Long

Since Specialization
Citations

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

Fields of papers citing papers by Junyu Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019269
2 2021230
3 2020130
4 2018109
5 2019105
6 201996
7 201994
8 201791
9 201989
10 201975
11 202164
12 201862
13
T lymphocytes in hepatocellular carcinoma immune microenvironment: insights into human immunology and immunotherapy.
202051
14 202051
15 202050
16 202150
17 202345
18 201844
19 202142
20 202241

About Junyu Long

Junyu Long is a scholar working on Hepatology, Oncology, Surgery, Cancer Research and Genetics, having authored 86 papers that have together received 2.7k indexed citations. Recurring topics across this work include Cholangiocarcinoma and Gallbladder Cancer Studies (29 papers), Cancer Immunotherapy and Biomarkers (17 papers), Hepatocellular Carcinoma Treatment and Prognosis (17 papers), Cancer-related molecular mechanisms research (8 papers), Inflammatory Biomarkers in Disease Prognosis (4 papers), Cancer Genomics and Diagnostics (4 papers), Glioma Diagnosis and Treatment (3 papers) and Pancreatic and Hepatic Oncology Research (2 papers). The work is most often cited by research in Hepatology (573 citations), Oncology (675 citations), Cancer Research (405 citations), Surgery (636 citations) and Pulmonary and Respiratory Medicine (234 citations). Junyu Long has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Haitao Zhao, Jianzhen Lin, Yi Bai, Xiaobo Yang, Dongxu Wang, Xinting Sang, Xu Yang, Anqiang Wang, Jianping Xiong and Weiyu Xu. Their work appears in journals such as World Journal of Gastroenterology, Annals of Translational Medicine, Frontiers in Oncology, International Immunopharmacology and Frontiers in Immunology.

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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