Junna Wang
Impact in
- Obstetrics and Gynecology top 10%
- Endometrial and Cervical Cancer Treatments
-
- Antibiotic Resistance in Bacteria
Papers in
-
- Animal Virus Infections Studies 5
-
- Antibiotic Resistance in Bacteria 3
- Co-authors
- Xiaopeng Li (4 shared papers)Stefan L. Schweizer (4 shared papers)Ralf B. Wehrspohn (4 shared papers)Wenxiang Huang (2 shared papers)Qiu Bi (3 shared papers)Alexander N. Sprafke (3 shared papers)Kunhua Wu (2 shared papers)Oliver G. Schmidt (1 shared paper)
- Journals
- Transboundary and Emerging Diseases (2 papers)Antiviral Research (1 paper)Microbiology Spectrum (1 paper)Foods (1 paper)Academic Radiology (1 paper)
- Partner nations
- ChinaGermanySouth Korea
In The Last Decade
Junna Wang
20 papers receiving 359 citations
Peers
Comparison fields: 5 of 60
- Obstetrics and Gynecology 47
- Molecular Medicine 25
- Hepatology 28
- Radiology, Nuclear Medicine and Imaging 46
- Electrical and Electronic Engineering 87
Countries citing papers authored by Junna Wang
This map shows the geographic impact of Junna 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 Junna Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junna Wang more than expected).
Fields of papers citing papers by Junna Wang
This network shows the impact of papers produced by Junna 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 Junna Wang. The network helps show where Junna Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Junna Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 84 | |
| 2 | 2019 | 60 | |
| 3 | 2019 | 51 | |
| 4 | 2020 | 28 | |
| 5 | 2017 | 24 | |
| 6 | 2014 | 23 | |
| 7 | 2016 | 21 | |
| 8 | 2020 | 17 | |
| 9 | 2023 | 17 | |
| 10 | 2024 | 11 | |
| 11 | 2023 | 10 | |
| 12 | 2024 | 5 | |
| 13 | 2024 | 4 | |
| 14 | 2025 | 4 | |
| 15 | 2024 | 3 | |
| 16 | 2025 | 3 | |
| 17 | 2023 | 2 | |
| 18 | 2025 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2024 | 1 |
About Junna Wang
Junna Wang is a scholar working on Animal Science and Zoology, Molecular Medicine, Radiology, Nuclear Medicine and Imaging, Obstetrics and Gynecology and Renewable Energy, Sustainability and the Environment, having authored 24 papers that have together received 372 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (5 papers), Antibiotic Resistance in Bacteria (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Advanced Photocatalysis Techniques (2 papers), Endometrial and Cervical Cancer Treatments (2 papers), MRI in cancer diagnosis (2 papers), Silicon and Solar Cell Technologies (2 papers) and Advancements in Battery Materials (1 paper). The work is most often cited by research in Obstetrics and Gynecology (47 citations), Molecular Medicine (25 citations), Hepatology (28 citations), Radiology, Nuclear Medicine and Imaging (46 citations) and Electrical and Electronic Engineering (87 citations). Junna Wang has collaborated with scholars based in China, Germany and South Korea. Frequent co-authors include Xiaopeng Li, Stefan L. Schweizer, Ralf B. Wehrspohn, Wenxiang Huang, Qiu Bi, Alexander N. Sprafke, Kunhua Wu, Oliver G. Schmidt, Chenglin Yan and Andreas Graff. Their work appears in journals such as Transboundary and Emerging Diseases, Antiviral Research, Microbiology Spectrum, Foods and Academic Radiology.
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.