Jun‐Li Liu

13.6k citations
187 papers · 10.7k indexed · 6 hit papers · h-index 45

Impact in

Papers in

Jun‐Li Liu

178 papers receiving 10.5k citations

Hit Papers

Treatment of Obesity with Celastrol 2015 · 591 citations
59119992026200820172505007501000

Peers

Jun‐Li Liu
Comparison fields: 5 of 152
  • Endocrinology, Diabetes and Metabolism 4.7k
  • Endocrine and Autonomic Systems 536
  • Cancer Research 1.1k
  • Physiology 1.6k
  • Complementary and alternative medicine 504
Replace Charles H. Lang with:
Charles H. Lang United States
Tomoichiro Asano Japan
Kei Sakamoto Japan
Derek LeRoith United States
Naoto Kubota Japan
Wolfgang Dillmann United States
Leonard S. Jefferson United States
Josef Pfeilschifter Germany
Marten H. Hofker Netherlands
Harald Staiger Germany
Jun‐Li Liu relative to Charles H. Lang United States Charles H. Lang's profile →
Citations per field
00.5×2.5×
Charles H. Lang · 1×
Citations per year

Countries citing papers authored by Jun‐Li Liu

Since Specialization
Citations

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

Fields of papers citing papers by Jun‐Li Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 20246
4 20242
5 202317
6 20231
7 20233
8 202314
9 202211
10 202220
11 202011
12 201924
13 201516
14 2012292
15 20031
16 20023
17 20021
18 200252
19 200126
20
The Somatomedin Hypothesis: 2001
Hit paper breakdown →
2001975

About Jun‐Li Liu

Jun‐Li Liu is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research, Surgery, Molecular Biology and Genetics, having authored 187 papers that have together received 10.7k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (45 papers), Growth Hormone and Insulin-like Growth Factors (34 papers), Metabolism, Diabetes, and Cancer (27 papers), Pancreatitis Pathology and Treatment (12 papers), Pancreatic and Hepatic Oncology Research (11 papers), Cancer, Hypoxia, and Metabolism (8 papers), Neuroendocrine Tumor Research Advances (8 papers) and Cancer-related molecular mechanisms research (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (4.7k citations), Endocrine and Autonomic Systems (536 citations), Cancer Research (1.1k citations), Physiology (1.6k citations) and Complementary and alternative medicine (504 citations). Jun‐Li Liu has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Shoshana Yakar, Andrew A. Butler, Derek LeRoith, Derek LeRoith, Derek Le Roith, Carolyn A. Bondy, Brian Sauer, Bethel Stannard, Jan Frystyk and Cheryl L. Ackert‐Bicknell. Their work appears in journals such as Endocrinology, Journal of ExtraCorporeal Technology, Growth Factors, American Journal of Physiology-Endocrinology and Metabolism and PLoS ONE.

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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