Lujun Song

766 citations
21 papers · 639 · h-index 12

Impact in

Papers in

    • Liver physiology and pathology 5
    • Pancreatic function and diabetes 4
    • Cholangiocarcinoma and Gallbladder Cancer Studies 3

Lujun Song

21 papers receiving 626 citations

Peers

Lujun Song
Comparison fields: 5 of 53
  • Hepatology 115
  • Endocrinology, Diabetes and Metabolism 104
  • Genetics 34
  • Pharmacology 34
  • Clinical Biochemistry 16
Replace Akira Muramatsu with:
Akira Muramatsu Japan
Soichiro Fushimi Japan
Xiaojie Gan China
Reham Abdel‐Wahab United States
Sumaiya Chowdhury Australia
Guo‐He Lin China
Mitsuo Toyoda Japan
Hirofumi Tsushima Japan
Sukhwinderjit Lidder United Kingdom
Jian-Nong Zhou China
Lujun Song relative to Akira Muramatsu Japan Akira Muramatsu's profile →
Citations per field
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Akira Muramatsu · 1×
Citations per year

Countries citing papers authored by Lujun Song

Since Specialization
Citations

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

Fields of papers citing papers by Lujun Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201390
2 201073
3 201464
4 201461
5 201257
6 201456
7 201148
8 200845
9 201231
10 201628
11 202022
12 202013
13 200511
14 202110
15 20219
16 20218
17 20064
18 20094
19 20043
20 20151

About Lujun Song

Lujun Song is a scholar working on Hepatology, Surgery, Genetics, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 21 papers that have together received 639 indexed citations. Recurring topics across this work include Liver physiology and pathology (5 papers), Pancreatic function and diabetes (4 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers), Diabetes and associated disorders (2 papers), Optical Wireless Communication Technologies (2 papers), Mechanisms of cancer metastasis (1 paper), PI3K/AKT/mTOR signaling in cancer (1 paper) and Gallbladder and Bile Duct Disorders (1 paper). The work is most often cited by research in Hepatology (115 citations), Endocrinology, Diabetes and Metabolism (104 citations), Genetics (34 citations), Pharmacology (34 citations) and Clinical Biochemistry (16 citations). Lujun Song has collaborated with scholars based in China and United States. Frequent co-authors include Xinyu Qin, Min Li, Wenju Chang, Weixin Niu, Hongshan Wang, Xiao‐Dong Gao, Kuntang Shen, Xinyu Qin, Beijian Huang and Jiaojiao Ma. Their work appears in journals such as Acta Biochimica et Biophysica Sinica, Biochemical and Biophysical Research Communications, BioMed Research International, Journal of Cellular and Molecular Medicine and Molecular and Cellular Endocrinology.

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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