Peng Gao

7.4k citations
87 papers · 3.2k indexed · 3 hit papers · h-index 31
Topics
Metabolomics and Mass Spectrometry Studies (9 papers)Cancer, Hypoxia, and Metabolism (9 papers)Circadian rhythm and melatonin (6 papers)
Partner nations
United StatesChinaFrance

In The Last Decade

Peng Gao

82 papers receiving 3.1k citations

Hit Papers

Mitochondrial complex III is essential for suppressive fu...2019202620212023201920242025100200300

Peers

Peng Gao
Comparison fields: 5 of 142
  • Molecular Biology 1.6k
  • Cancer Research 546
  • Immunology 399
  • Physiology 323
  • Oncology 302
Replace Francesca Giordano with:
Francesca Giordano Italy
Zemin Wang United States
Stephen Marshall United States
Renate B. Pilz United States
Freya Schäfer United States
Juan Du China
Huifeng Pi China
Evgeny V. Pavlov United States
Rong Wu China
Xiong Su China
Peng Gao relative to Francesca Giordano Italy Francesca Giordano's profile →
Citations per field
00.5×5.3×
Francesca Giordano · 1×
Citations per year

Countries citing papers authored by Peng Gao

Since Specialization
Citations

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

Fields of papers citing papers by Peng Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Peng Gao. A scholar is included among the top collaborators of Peng Gao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peng Gao. Peng Gao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 1
5 19
6 8
7 7
8 8
9 15
10 90
11 50
12 75
13 113
14 55
15 40
16 104
17 75
18 25
19 21
20
Determination of Ginsenoside Rg1,Ginsenoside Rb1 and Notoginsenoside R1 in Fufang Xueshuantong Capsules by HPLC
1

About Peng Gao

Peng Gao is a scholar working on Aging, Endocrine and Autonomic Systems and Physiology, having authored 87 papers that have together received 3.2k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (9 papers), Cancer, Hypoxia, and Metabolism (9 papers) and Circadian rhythm and melatonin (6 papers). The work is most often cited by research in Aging (84 citations), Cancer Research (546 citations) and Endocrine and Autonomic Systems (231 citations). Peng Gao has collaborated with scholars based in United States, China and France. Frequent co-authors include Navdeep S. Chandel, Samuel E. Weinberg, Inmaculada Martínez‐Reyes, Carlos Alberto Martínez, Elizabeth M. Steinert, Kathryn A. Helmin, Benjamin D. Singer, Colleen R. Reczek, Issam Ben‐Sahra and John M. Asara. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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