Daning Wang

1.3k citations
46 papers · 951 indexed · h-index 16

Impact in

Papers in

    • Cervical Cancer and HPV Research 10
    • Hepatitis B Virus Studies 5
    • Advanced biosensing and bioanalysis techniques 6

Daning Wang

45 papers receiving 925 citations

Peers

Daning Wang
Comparison fields: 5 of 108
  • Molecular Medicine 93
  • Pollution 197
  • Analytical Chemistry 91
  • Paleontology 41
  • Molecular Biology 335
Replace Ronald J. Doyle with:
Ronald J. Doyle United States
Vladislav Krzyžánek Czechia
Mark Alston United Kingdom
Jinyang Zhang China
Emmanuele Ambrosi Italy
C. Kirschner Germany
Li Bi China
Martin Strathmann Germany
Julia Baudart France
B. Hoyle Canada
Daning Wang relative to Ronald J. Doyle United States Ronald J. Doyle's profile →
Citations per field
00.5×8.5×
Ronald J. Doyle · 1×
Citations per year

Countries citing papers authored by Daning Wang

Since Specialization
Citations

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

Fields of papers citing papers by Daning Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201387
2 201686
3 201580
4 201279
5 201670
6 199970
7 201264
8 201437
9 199037
10 201530
11 201728
12 201623
13 200922
14 200019
15 201818
16 201117
17 201815
18 201614
19 201714
20 201713

About Daning Wang

Daning Wang is a scholar working on Epidemiology, Molecular Biology, Biomedical Engineering, Immunology and Paleontology, having authored 46 papers that have together received 951 indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (10 papers), Advanced biosensing and bioanalysis techniques (6 papers), Hepatitis B Virus Studies (5 papers), Analytical chemistry methods development (4 papers), Biosensors and Analytical Detection (4 papers), Paleontology and Stratigraphy of Fossils (4 papers), Virus-based gene therapy research (3 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Molecular Medicine (93 citations), Pollution (197 citations), Analytical Chemistry (91 citations), Paleontology (41 citations) and Molecular Biology (335 citations). Daning Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xiaogang Chu, Min Jin, Zhigang Qiu, Zhiqiang Shen, Dong Yang, Mengxia Xie, Kun Tao, Yongquan Guo, Yan Xu and Yiyang Dong. Their work appears in journals such as Vaccine, Nanotoxicology, Review of Palaeobotany and Palynology, Emerging Microbes & Infections and Analytical Letters.

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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