Yana Shi

936 citations
39 papers · 704 indexed · h-index 14

Yana Shi

37 papers receiving 690 citations

Peers

Yana Shi
Comparison fields: 5 of 106
  • Pharmacology 175
  • Plant Science 305
  • Pharmacology 137
  • Complementary and alternative medicine 50
  • Molecular Biology 378
Replace Rosamaria Caniato with:
Rosamaria Caniato Italy
Verónica Rodríguez-López Mexico
Ailian Zhang China
Jeremiah Senabe South Africa
Bingxian Yang China
Elisabeth Fuss Germany
Satish Manohar Nalawade Taiwan
Xue‐Ming Zhou China
Shi Ren-bing China
Seema Akbar India
Yana Shi relative to Rosamaria Caniato Italy Rosamaria Caniato's profile →
Citations per field
00.5×10×15×20×24.3×
Rosamaria Caniato · 1×
Citations per year

Countries citing papers authored by Yana Shi

Since Specialization
Citations

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

Fields of papers citing papers by Yana Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20252
3 20252
4 20246
5 20242
6 20240
7 202156
8 20212
9
Comparative study on identification of Bletilla striata and two kinds of counterfeit products.
20191
10 20189
11
Optimization technologies of enzymatic hydrolysis for determination of starch in Polygonatum kingianum.
20181
12 201825
13 20141
14
[Species and ecological control of disease on cultivated Gentiana rigescens in Yunnan].
20123
15 201113
16 200913
17 200927
18 20092
19 200826
20 20087

About Yana Shi

Yana Shi is a scholar working on Pharmacology, Biochemistry and Plant Science, having authored 39 papers that have together received 704 indexed citations. Recurring topics across this work include Natural product bioactivities and synthesis (7 papers), Plant Molecular Biology Research (6 papers), Plant-based Medicinal Research (5 papers), Bioactive Natural Diterpenoids Research (4 papers), Biological and pharmacological studies of plants (3 papers), Synthesis and properties of polymers (3 papers), Plant nutrient uptake and metabolism (3 papers) and Phytochemistry and Biological Activities (3 papers). The work is most often cited by research in Pharmacology (175 citations), Plant Science (305 citations) and Pharmacology (137 citations). Yana Shi has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Dake Zhao, Edward J. Kennelly, Yong Shen, Chunlin Long, Wen-Juan Liang, Yue‐Hu Wang, Yan Lv, Tao Li, Yang Yu and Yan Chen. Their work appears in journals such as Journal of Applied Polymer Science, Phytochemistry, Plant Cell & Environment, Journal of Natural Products and Helvetica Chimica Acta.

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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