Na Wang
Impact in
- Aging top 2%
- Reproductive Medicine top 2%
- Sperm and Testicular Function
- Ovarian function and disorders
Papers in
- Immunology 61
- Aquaculture disease management and microbiota 24
- interferon and immune responses 9
- Co-authors
- Songlin Chen (27 shared papers)Yu‐Cai Fu (7 shared papers)Beverly A. Rothermel (2 shared papers)Robert D. Gerard (2 shared papers)David J. Morris (2 shared papers)Nita Sachan (2 shared papers)Joseph A. Hill (2 shared papers)Wei-Juan Liu (3 shared papers)
- Journals
- Scientific Reports (9 papers)PLoS ONE (8 papers)Fish Physiology and Biochemistry (5 papers)Fish & Shellfish Immunology (4 papers)Gene (4 papers)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Na Wang
261 papers receiving 5.0k citations
Peers
Comparison fields: 5 of 144
- Aging 134
- Reproductive Medicine 379
- Physiology 210
- Immunology 767
- Endocrine and Autonomic Systems 217
Countries citing papers authored by Na Wang
This map shows the geographic impact of Na 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 Na Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Na Wang more than expected).
Fields of papers citing papers by Na Wang
This network shows the impact of papers produced by Na 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 Na Wang. The network helps show where Na Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Na 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 276 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 251 | |
| 2 | 2016 | 249 | |
| 3 | 2007 | 204 | |
| 4 | 2015 | 141 | |
| 5 | 2013 | 130 | |
| 6 | 2013 | 117 | |
| 7 | 2017 | 109 | |
| 8 | 1995 | 101 | |
| 9 | 2021 | 91 | |
| 10 | 2010 | 78 | |
| 11 | 2015 | 76 | |
| 12 | 2016 | 74 | |
| 13 | 2018 | 66 | |
| 14 | 2013 | 60 | |
| 15 | 2016 | 56 | |
| 16 | 2017 | 54 | |
| 17 | 2015 | 50 | |
| 18 | 2009 | 50 | |
| 19 | 2018 | 50 | |
| 20 | 2018 | 47 |
About Na Wang
Na Wang is a scholar working on Molecular Biology, Immunology, Genetics, Epidemiology and Cancer Research, having authored 276 papers that have together received 5.1k indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (24 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (18 papers), Reproductive biology and impacts on aquatic species (12 papers), Animal Genetics and Reproduction (11 papers), Sperm and Testicular Function (11 papers), Reproductive Biology and Fertility (11 papers), interferon and immune responses (9 papers) and Hepatitis B Virus Studies (7 papers). The work is most often cited by research in Aging (134 citations), Reproductive Medicine (379 citations), Physiology (210 citations), Immunology (767 citations) and Endocrine and Autonomic Systems (217 citations). Na Wang has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Songlin Chen, Yu‐Cai Fu, Beverly A. Rothermel, Robert D. Gerard, David J. Morris, Nita Sachan, Joseph A. Hill, Wei-Juan Liu, Lili Luo and Xing‐Mei Zhang. Their work appears in journals such as Scientific Reports, PLoS ONE, Fish Physiology and Biochemistry, Fish & Shellfish Immunology and Gene.
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.