Ping Mi

671 citations
26 papers · 512 · h-index 14

Impact in

Papers in

Ping Mi

25 papers receiving 509 citations

Peers

Ping Mi
Comparison fields: 5 of 87
  • Health, Toxicology and Mutagenesis 132
  • Cell Biology 99
  • Endocrine and Autonomic Systems 38
  • Biological Psychiatry 12
  • Pollution 58
Replace Lívea Fujita Barbosa with:
Lívea Fujita Barbosa Brazil
Todd C. Brady United States
Sandra Imbrogno Italy
Antonio Planchart United States
Ratko Radojičić Serbia
Débora Dreher Nabinger Brazil
Yongjie Xiong China
Karen Lau Hong Kong
Mariana Leivas Müller Hoff Brazil
Márcia Longaray Garcia Brazil
Ping Mi relative to Lívea Fujita Barbosa Brazil Lívea Fujita Barbosa's profile →
Citations per field
00.5×2×4×6×8×
Lívea Fujita Barbosa · 1×
Citations per year

Countries citing papers authored by Ping Mi

Since Specialization
Citations

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

Fields of papers citing papers by Ping Mi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201891
2 201851
3 201939
4 202035
5 201632
6 202232
7 201930
8 202327
9 202022
10 202119
11 202315
12 201915
13 201614
14 202114
15 202313
16 201812
17 202512
18 20229
19 20246
20 20246

About Ping Mi

Ping Mi is a scholar working on Oceanography, Cell Biology, Health, Toxicology and Mutagenesis, Endocrine and Autonomic Systems and Renewable Energy, Sustainability and the Environment, having authored 26 papers that have together received 512 indexed citations. Recurring topics across this work include Marine and coastal plant biology (7 papers), Zebrafish Biomedical Research Applications (6 papers), Algal biology and biofuel production (4 papers), Environmental Toxicology and Ecotoxicology (4 papers), Neuroendocrine regulation and behavior (3 papers), Circadian rhythm and melatonin (3 papers), Effects and risks of endocrine disrupting chemicals (3 papers) and Plant Stress Responses and Tolerance (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (132 citations), Cell Biology (99 citations), Endocrine and Autonomic Systems (38 citations), Biological Psychiatry (12 citations) and Pollution (58 citations). Ping Mi has collaborated with scholars based in China, Pakistan and Malaysia. Frequent co-authors include Xizeng Feng, Xin Jie Zhao, Qiuping Zhang, Shibao Li, Xingyu Liu, Dongyan Chen, Zhenghong Sui, Daofu Feng, Baoshan Wang and Meng Li. Their work appears in journals such as Chemosphere, Journal of Applied Phycology, Advanced Science, Neurotoxicology and Teratology and Scientific Reports.

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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