Jun Guo

10.4k citations
118 papers · 3.8k indexed · h-index 32

Impact in

  • Oncology top 2%
    • Bone health and treatments
  • Nephrology top 2%
    • Parathyroid Disorders and Treatments

Papers in

Jun Guo

115 papers receiving 3.7k citations

Peers

Jun Guo
Comparison fields: 5 of 125
  • Oncology 1.2k
  • Nephrology 245
  • Molecular Biology 2.3k
  • Orthopedics and Sports Medicine 262
  • Cancer Research 306
Replace Riko Kitazawa with:
Riko Kitazawa Japan
Yoshihiro Matsumoto Japan
Paula H. Stern United States
Yao Sun United States
William A. Boisvert United States
Hyun Kook South Korea
David G. Monroe United States
Romuald Mentaverri France
Raquel Largo Spain
Zhousheng Xiao United States
Jun Guo relative to Riko Kitazawa Japan Riko Kitazawa's profile →
Citations per field
00.5×1.5×
Riko Kitazawa · 1×
Citations per year

Countries citing papers authored by Jun Guo

Since Specialization
Citations

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

Fields of papers citing papers by Jun Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20230
2 20227
3 20201
4 20203
5 201825
6 20181
7 201815
8 201715
9
Network of differentially expressed genes in Cashmere goat skin follicles under short photoperiod and exogenous melatonin
20171
10 20166
11
A current review of folate receptor alpha as a potential tumor target in non-small-cell lung cancer
20151
12 20155
13 201525
14 20144
15 20149
16 201019
17 20096
18 200690
19
Targeted Deletion of FGF Receptor-2 Identifies a Role for FGF Signaling in Lens Growth
20021
20 199578

About Jun Guo

Jun Guo is a scholar working on Oncology, Nutrition and Dietetics, Molecular Biology, Biotechnology and Physiology, having authored 118 papers that have together received 3.8k indexed citations. Recurring topics across this work include Bone health and treatments (20 papers), Bone Metabolism and Diseases (15 papers), Fibroblast Growth Factor Research (12 papers), Clinical Nutrition and Gastroenterology (11 papers), Cancer-related Molecular Pathways (9 papers), Protein Kinase Regulation and GTPase Signaling (9 papers), Peroxisome Proliferator-Activated Receptors (9 papers) and Adipose Tissue and Metabolism (8 papers). The work is most often cited by research in Oncology (1.2k citations), Nephrology (245 citations), Molecular Biology (2.3k citations), Orthopedics and Sports Medicine (262 citations) and Cancer Research (306 citations). Jun Guo has collaborated with scholars based in United States, China and Germany. Frequent co-authors include F. Richard Bringhurst, Henry M. Kronenberg, Brad W. Warner, Dehong Yang, Minlin Liu, Hisatomo Kondo, Viktor Janzen, Heather E. Fleming, Cristina Lo Celso and David T. Scadden. Their work appears in journals such as Journal of Pediatric Surgery, Journal of Bone and Mineral Research, Journal of Biological Chemistry, American Journal of Physiology-Gastrointestinal and Liver Physiology and 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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