Junbo Ge

3.3k citations
134 papers · 2.6k · h-index 30

Impact in

Papers in

Junbo Ge

122 papers receiving 2.6k citations

Peers

Junbo Ge
Comparison fields: 5 of 101
  • Cancer Research 505
  • Cardiology and Cardiovascular Medicine 605
  • Immunology 355
  • Molecular Biology 1.2k
  • Clinical Biochemistry 82
Replace Prasanna Krishnamurthy with:
Prasanna Krishnamurthy United States
Chengxing Shen China
Rugmani Padmanabhan Iyer United States
Aijun Sun China
Bin Yu China
Héctor A. Cabrera-Fuentes Germany
Naruya Tomita Japan
Mirjam B. Smeets Netherlands
Eileen M. Redmond United States
Mutsuo Harada Japan
Junbo Ge relative to Prasanna Krishnamurthy United States Prasanna Krishnamurthy's profile →
Citations per field
00.5×1.5×2.5×
Prasanna Krishnamurthy · 1×
Citations per year

Countries citing papers authored by Junbo Ge

Since Specialization
Citations

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

Fields of papers citing papers by Junbo Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 134 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018173
2 2019128
3 2021114
4 201888
5 201285
6 199881
7 201471
8 201669
9 202069
10 201267
11 201260
12 201860
13 201359
14 201852
15 201451
16 201944
17 201943
18 201842
19 201441
20 201640

About Junbo Ge

Junbo Ge is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Immunology, Cancer Research and Epidemiology, having authored 134 papers that have together received 2.6k indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (15 papers), Circular RNAs in diseases (10 papers), Cardiovascular Function and Risk Factors (10 papers), MicroRNA in disease regulation (10 papers), Coronary Interventions and Diagnostics (9 papers), Cardiac Fibrosis and Remodeling (8 papers), Autophagy in Disease and Therapy (7 papers) and Cancer-related molecular mechanisms research (7 papers). The work is most often cited by research in Cancer Research (505 citations), Cardiology and Cardiovascular Medicine (605 citations), Immunology (355 citations), Molecular Biology (1.2k citations) and Clinical Biochemistry (82 citations). Junbo Ge has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yunzeng Zou, Ranzun Zhao, Yan Wang, Bei Shi, Aijun Sun, Weiwei Liu, Zhenglong Wang, Jidong Rong, Zheyong Huang and Xianping Long. Their work appears in journals such as Journal of Cellular and Molecular Medicine, Oxidative Medicine and Cellular Longevity, Journal of Cardiovascular Pharmacology, PLoS ONE and BMC Cardiovascular Disorders.

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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