Dejiang Ni

4.6k citations
104 papers · 2.9k · h-index 31

Impact in

Papers in

Dejiang Ni

102 papers receiving 2.9k citations

Peers

Dejiang Ni
Comparison fields: 5 of 112
  • Biochemistry 623
  • Pathology and Forensic Medicine 1.3k
  • Food Science 917
  • Analytical Chemistry 252
  • Plant Science 769
Replace Caihong Shen with:
Caihong Shen China
Ya Cai United Kingdom
Michaël Jourdes France
Mingyue Zhao China
Hong Gao China
Han Peng China
Kashmir Singh India
Laurence D. Melton New Zealand
Richard W. Hemingway United States
Eduardo Castaño‐Tostado Mexico
Dejiang Ni relative to Caihong Shen China Caihong Shen's profile →
Citations per field
00.5×4.0×
Caihong Shen · 1×
Citations per year

Countries citing papers authored by Dejiang Ni

Since Specialization
Citations

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

Fields of papers citing papers by Dejiang Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018189
2 2018170
3 2018151
4 201991
5 202174
6 201774
7 201867
8 202166
9 201665
10 202165
11 201864
12 201664
13 201763
14 201762
15 202062
16 201961
17 201760
18 201758
19 202056
20 201654

About Dejiang Ni

Dejiang Ni is a scholar working on Plant Science, Pathology and Forensic Medicine, Molecular Biology, Food Science and Biochemistry, having authored 104 papers that have together received 2.9k indexed citations. Recurring topics across this work include Tea Polyphenols and Effects (37 papers), Phytochemicals and Antioxidant Activities (21 papers), Food Quality and Safety Studies (19 papers), Plant Molecular Biology Research (13 papers), Gold and Silver Nanoparticles Synthesis and Applications (13 papers), Aluminum toxicity and tolerance in plants and animals (10 papers), Plant Stress Responses and Tolerance (10 papers) and Fermentation and Sensory Analysis (10 papers). The work is most often cited by research in Biochemistry (623 citations), Pathology and Forensic Medicine (1.3k citations), Food Science (917 citations), Analytical Chemistry (252 citations) and Plant Science (769 citations). Dejiang Ni has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Zhi Yu, Yuqiong Chen, Pei Liang, Fei Guo, Zeyi Ai, Chang He, Zhang De, Jingtao Zhou, Xinlei Yu and Mingle Wang. Their work appears in journals such as Food Chemistry, Scientia Horticulturae, Journal of Agricultural and Food Chemistry, International Journal of Molecular Sciences and LWT.

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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