Jin Wang
Impact in
- Plant Science top 2%
- Plant Molecular Biology Research
- Plant Stress Responses and Tolerance
Papers in
-
- Plant Molecular Biology Research 12
- Plant Stress Responses and Tolerance 4
- Hematology 15
- Acute Myeloid Leukemia Research 6
- Co-authors
- Yuling Jiao (9 shared papers)Bihai Shi (6 shared papers)Caihuan Tian (4 shared papers)Sai Kranthi Vanga (1 shared paper)Vijaya Raghavan (1 shared paper)Ming‐liang Tong (6 shared papers)Ying Wang (3 shared papers)Kaijing Zuo (5 shared papers)
- Journals
- International Journal of Molecular Sciences (4 papers)Environmental Monitoring and Assessment (4 papers)Frontiers in Plant Science (4 papers)Frontiers in Oncology (3 papers)Scientia Horticulturae (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jin Wang
196 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 122
- Process Chemistry and Technology 41
- Plant Science 982
- Electronic, Optical and Magnetic Materials 226
- Pollution 146
- Immunology 157
Countries citing papers authored by Jin Wang
This map shows the geographic impact of Jin 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 Jin Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Wang more than expected).
Fields of papers citing papers by Jin Wang
This network shows the impact of papers produced by Jin 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 Jin Wang. The network helps show where Jin Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin 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 206 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 188 | |
| 2 | 2014 | 168 | |
| 3 | 2020 | 119 | |
| 4 | 2020 | 117 | |
| 5 | 2016 | 112 | |
| 6 | 2020 | 112 | |
| 7 | 2015 | 104 | |
| 8 | 2014 | 102 | |
| 9 | 2019 | 92 | |
| 10 | 2022 | 77 | |
| 11 | 2019 | 68 | |
| 12 | 2023 | 66 | |
| 13 | 2016 | 62 | |
| 14 | 2021 | 61 | |
| 15 | 2018 | 60 | |
| 16 | 2021 | 58 | |
| 17 | 2015 | 56 | |
| 18 | 2016 | 56 | |
| 19 | 2018 | 56 | |
| 20 | 2011 | 52 |
About Jin Wang
Jin Wang is a scholar working on Plant Science, Hematology, Pollution, Immunology and Cell Biology, having authored 206 papers that have together received 4.4k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (12 papers), Heavy metals in environment (10 papers), Acute Myeloid Leukemia Research (6 papers), Magnetism in coordination complexes (6 papers), Sarcoma Diagnosis and Treatment (5 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Plant Stress Responses and Tolerance (4 papers) and Mesenchymal stem cell research (4 papers). The work is most often cited by research in Process Chemistry and Technology (41 citations), Plant Science (982 citations), Electronic, Optical and Magnetic Materials (226 citations), Pollution (146 citations) and Immunology (157 citations). Jin Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yuling Jiao, Bihai Shi, Caihuan Tian, Sai Kranthi Vanga, Vijaya Raghavan, Ming‐liang Tong, Ying Wang, Kaijing Zuo, Cui Zhang and Lijin Lin. Their work appears in journals such as International Journal of Molecular Sciences, Environmental Monitoring and Assessment, Frontiers in Plant Science, Frontiers in Oncology and Scientia Horticulturae.
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.