Yan‐Ni Shi

561 citations
19 papers · 458 · h-index 11

Impact in

Papers in

    • Phytochemical compounds biological activities 3
    • Natural product bioactivities and synthesis 2
    • Phytochemistry and Bioactive Compounds 3
    • biodegradable polymer synthesis and properties 2

Yan‐Ni Shi

17 papers receiving 445 citations

Peers

Yan‐Ni Shi
Comparison fields: 5 of 77
  • Pharmacology 70
  • Insect Science 57
  • Biochemistry 33
  • Catalysis 30
  • Materials Chemistry 168
Replace Xueting Wu with:
Xueting Wu China
Dorothea Garbe
Anil C. Ghosh India
Wei‐Chao Lin Taiwan
Lizeng Peng China
Amadeu H. Iglesias Brazil
Beatriz Vahan Kilikian Brazil
Aleksandra Grudniewska Poland
Denitsa Aluani Bulgaria
Herbert Riepl Germany
Yan‐Ni Shi relative to Xueting Wu China Xueting Wu's profile →
Citations per field
00.5×6.6×
Xueting Wu · 1×
Citations per year

Countries citing papers authored by Yan‐Ni Shi

Since Specialization
Citations

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

Fields of papers citing papers by Yan‐Ni Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2017127
2 201454
3 201351
4 201450
5 201438
6 201624
7 201522
8 201519
9 201814
10 201613
11 201111
12 202110
13 201410
14 20168
15 20165
16 20251
17 20101
18 20240
19 20250

About Yan‐Ni Shi

Yan‐Ni Shi is a scholar working on Molecular Biology, Biomaterials, Pharmacology, Biochemistry and Plant Science, having authored 19 papers that have together received 458 indexed citations. Recurring topics across this work include Piperaceae Chemical and Biological Studies (4 papers), Traditional and Medicinal Uses of Annonaceae (3 papers), Phytochemical compounds biological activities (3 papers), Phytochemistry and Bioactive Compounds (3 papers), Natural product bioactivities and synthesis (2 papers), biodegradable polymer synthesis and properties (2 papers), Bone Tissue Engineering Materials (2 papers) and Phytochemistry and Biological Activities (2 papers). The work is most often cited by research in Pharmacology (70 citations), Insect Science (57 citations), Biochemistry (33 citations), Catalysis (30 citations) and Materials Chemistry (168 citations). Yan‐Ni Shi has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Qilin Wu, Malcolm Xing, Min Li, Yong‐Xian Cheng, Yong‐Ming Yan, Zhili Zuo, Bo Hou, Ying‐Jun Zhang, Shuo Chen and Yun Shu. Their work appears in journals such as Materials Science and Engineering C, Phytochemistry, Cell Death and Disease, Planta Medica and Natural Product Communications.

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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