Ping Deng

1.2k citations
38 papers · 822 · h-index 13

Impact in

  • Neurology top 5%
    • Long-Term Effects of COVID-19
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
    • Infectious Encephalopathies and Encephalitis

Papers in

    • Insect Resistance and Genetics 4
    • Plant Molecular Biology Research 7
    • Plant Stress Responses and Tolerance 7
    • Plant nutrient uptake and metabolism 4
    • GABA and Rice Research 3

Ping Deng

36 papers receiving 807 citations

Peers

Ping Deng
Comparison fields: 5 of 111
  • Neurology 312
  • Infectious Diseases 272
  • Biological Psychiatry 18
  • Neurology 59
  • Plant Science 192
Replace Ravi Kant Narayan with:
Ravi Kant Narayan India
Danhui Yang China
Pedro Martínez-Paz Spain
Wendy Phillips United States
Subramaniam Mohana Devi India
Andreas Limmer Germany
Yapeng Liu China
Irina Fernández United States
Zhifei Li China
Ping Deng relative to Ravi Kant Narayan India Ravi Kant Narayan's profile →
Citations per field
00.5×5.1×
Ravi Kant Narayan · 1×
Citations per year

Countries citing papers authored by Ping Deng

Since Specialization
Citations

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

Fields of papers citing papers by Ping Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005389
2 202241
3 202138
4 200737
5 202330
6 201924
7 199622
8 201521
9 202319
10 201317
11 201517
12 202316
13 202114
14 202412
15 199612
16 201912
17 201711
18 201811
19 202310
20 202310

About Ping Deng

Ping Deng is a scholar working on Molecular Biology, Plant Science, Immunology, Cell Biology and Health, Toxicology and Mutagenesis, having authored 38 papers that have together received 822 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (7 papers), Plant Stress Responses and Tolerance (7 papers), Plant nutrient uptake and metabolism (4 papers), Insect Resistance and Genetics (4 papers), Environmental Toxicology and Ecotoxicology (3 papers), GABA and Rice Research (3 papers), Aquaculture disease management and microbiota (3 papers) and Zebrafish Biomedical Research Applications (3 papers). The work is most often cited by research in Neurology (312 citations), Infectious Diseases (272 citations), Biological Psychiatry (18 citations), Neurology (59 citations) and Plant Science (192 citations). Ping Deng has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xing Wu, Jun Liu, Zhenlin Li, Shan Zhong, Yi� Ding, Ling Li, Jun Xu, Yong Jiang, Yanbing Li and Nanshan Zhong. Their work appears in journals such as Biochemical and Biophysical Research Communications, Insect Molecular Biology, Toxics, The Science of The Total Environment and Clinical Infectious Diseases.

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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