Danni Wang

624 citations
30 papers · 429 · h-index 11

Impact in

Papers in

    • Plant Gene Expression Analysis 3
    • RNA Interference and Gene Delivery 3
    • RNA modifications and cancer 3
    • Circular RNAs in diseases 2
    • Plant Molecular Biology Research 5
    • Plant Stress Responses and Tolerance 4

Danni Wang

25 papers receiving 425 citations

Peers

Danni Wang
Comparison fields: 5 of 59
  • Cancer Research 136
  • Clinical Biochemistry 37
  • Molecular Biology 258
  • Plant Science 79
  • Genetics 56
Replace Tanja Thybo with:
Tanja Thybo Denmark
Caroline Jacques France
Nancy Lévesque Canada
Jun Ye China
Luca Sessa Italy
Yueyang Wang China
Kaiqiang Zhou China
Bai Qin China
Etresia van Dyk South Africa
Cheng Ai China
Danni Wang relative to Tanja Thybo Denmark Tanja Thybo's profile →
Citations per field
00.5×10.7×
Tanja Thybo · 1×
Citations per year

Countries citing papers authored by Danni Wang

Since Specialization
Citations

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

Fields of papers citing papers by Danni Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201695
2 201958
3 202040
4 201627
5 202224
6 201821
7 202320
8 201617
9 202317
10 202213
11 202211
12 202510
13 202210
14 20239
15 20248
16 20248
17 20208
18 20117
19 20216
20 20246

About Danni Wang

Danni Wang is a scholar working on Molecular Biology, Plant Science, Ecology, Cancer Research and Genetics, having authored 30 papers that have together received 429 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (5 papers), Plant Stress Responses and Tolerance (4 papers), Plant Gene Expression Analysis (3 papers), RNA Interference and Gene Delivery (3 papers), MicroRNA in disease regulation (3 papers), RNA modifications and cancer (3 papers), Metabolism and Genetic Disorders (2 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Cancer Research (136 citations), Clinical Biochemistry (37 citations), Molecular Biology (258 citations), Plant Science (79 citations) and Genetics (56 citations). Danni Wang has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Jeannie T. Lee, Chen‐Yu Wang, David Colognori, Hongjae Sunwoo, Danbo Wang, Ning Wang, Caiqiu Gao, Ning Wang, Min-Ting Lin and Xinyi Liu. Their work appears in journals such as Nature Communications, Environmental Pollution, Developmental Cell, Neurological Sciences and International Journal of Colorectal Disease.

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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