Juan Gao

1.6k citations
71 papers · 1.3k indexed · h-index 22

Juan Gao

71 papers receiving 1.3k citations

Peers

Juan Gao
Comparison fields: 5 of 102
  • Cardiology and Cardiovascular Medicine 433
  • Endocrine and Autonomic Systems 97
  • Biotechnology 108
  • Pharmacology 88
  • Nutrition and Dietetics 128
Replace Diane K. Hartle with:
Diane K. Hartle United States
Minji Kim South Korea
Jianhong Ching Singapore
Zhidan Luo China
Roberta Macrì Italy
Federica Scarano Italy
Hongyan Zhu China
Jana Navarová Slovakia
Chia‐Chi Chuang United States
Juan Gao relative to Diane K. Hartle United States Diane K. Hartle's profile →
Citations per field
00.5×6.7×
Diane K. Hartle · 1×
Citations per year

Countries citing papers authored by Juan Gao

Since Specialization
Citations

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

Fields of papers citing papers by Juan Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20245
2 20244
3 20235
4 202324
5 20233
6 20227
7 202212
8 202230
9 202185
10 201910
11 201813
12 201774
13 201713
14
Biotransformation of ginsenoside Rb1 for ginsenoside Rd preparation by Lysinibacillus massiliensis No. 24.
20161
15 20148
16 201237
17 200919
18 200952
19 200922
20
Hyperhomocysteine,genetic polymorphism of methylenetetrahydrofolate reductase in young adults with ischemic stroke
20083

About Juan Gao

Juan Gao is a scholar working on Biotechnology, Cardiology and Cardiovascular Medicine and Endocrine and Autonomic Systems, having authored 71 papers that have together received 1.3k indexed citations. Recurring topics across this work include Enzyme Production and Characterization (13 papers), Heart Rate Variability and Autonomic Control (11 papers), Renin-Angiotensin System Studies (11 papers), Ginseng Biological Effects and Applications (10 papers), Biofuel production and bioconversion (9 papers), Receptor Mechanisms and Signaling (8 papers), Nitric Oxide and Endothelin Effects (7 papers) and Natural product bioactivities and synthesis (7 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (433 citations), Endocrine and Autonomic Systems (97 citations) and Biotechnology (108 citations). Juan Gao has collaborated with scholars based in China, United States and Kenya. Frequent co-authors include Yifa Zhou, Guo‐Qing Zhu, Ning Yuan, Ying Han, Xing-Ya Gao, Daniel R. Kapusta, Jie Chao, Lie Gao, Liyan Zhao and Donglu Fang. Their work appears in journals such as Nucleic Acids Research, Journal of the American College of Cardiology and Circulation Research.

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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