Peng Bin

2.4k citations
50 papers · 1.8k · 1 hit paper · h-index 24

Impact in

Papers in

    • Gut microbiota and health 14
    • Retinoids in leukemia and cellular processes 3
    • Pain Mechanisms and Treatments 4
    • Diet and metabolism studies 4

Peng Bin

47 papers receiving 1.8k citations

Peng Bin's Hit Papers

The role of methionine on metabolism, oxidative stress, and diseases 2017 · 446 citations
4460+3+6Years since publication100200300400

Peers

Peng Bin
Comparison fields: 5 of 127
  • Animal Science and Zoology 245
  • Biological Psychiatry 49
  • Aquatic Science 92
  • Nutrition and Dietetics 166
  • Molecular Biology 746
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Peng Bin relative to Linbao Ji China Linbao Ji's profile →
Citations per field
00.5×10.7×
Linbao Ji · 1×
Citations per year

Countries citing papers authored by Peng Bin

Since Specialization
Citations

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

Fields of papers citing papers by Peng Bin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The role of methionine on metabolism, oxidative stress, and diseases
Hit paper breakdown →
2017446
2 2017193
3 2018121
4 202097
5 201185
6 201768
7 201853
8 201146
9 201641
10 201839
11 202036
12 201635
13 202234
14 201832
15 202030
16 201830
17 201230
18 201729
19 201827
20 202026

About Peng Bin

Peng Bin is a scholar working on Molecular Biology, Physiology, Infectious Diseases, Nutrition and Dietetics and Food Science, having authored 50 papers that have together received 1.8k indexed citations. Recurring topics across this work include Gut microbiota and health (14 papers), Viral gastroenteritis research and epidemiology (4 papers), Pain Mechanisms and Treatments (4 papers), Probiotics and Fermented Foods (4 papers), Diet and metabolism studies (4 papers), Retinoids in leukemia and cellular processes (3 papers), Antibiotic Resistance in Bacteria (3 papers) and Folate and B Vitamins Research (3 papers). The work is most often cited by research in Animal Science and Zoology (245 citations), Biological Psychiatry (49 citations), Aquatic Science (92 citations), Nutrition and Dietetics (166 citations) and Molecular Biology (746 citations). Peng Bin has collaborated with scholars based in China, United States and India. Frequent co-authors include Yulong Yin, Gang Liu, Wenkai Ren, Xihong Zhou, Ruilin Huang, Yordan Martínez, Wenxin Yan, Xue Li, M. Valdivié and Dairon Más Toro. Their work appears in journals such as Food & Function, Neurotoxicity Research, BioMed Research International, Neuroreport and Frontiers in Microbiology.

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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