Wanjun Jin
Impact in
-
- Infant Nutrition and Health
- Spectroscopy top 10%
- Mass Spectrometry Techniques and Applications
- Analytical Chemistry and Chromatography
- Advanced Proteomics Techniques and Applications
Papers in
-
- Glycosylation and Glycoproteins Research 18
-
- Carbohydrate Chemistry and Synthesis 11
- Co-authors
- Zhongfu Wang (19 shared papers)Linjuan Huang (17 shared papers)Chengjian Wang (14 shared papers)Xuezheng Song (4 shared papers)Ming Wei (7 shared papers)Lingmei Li (3 shared papers)Yu Lu (7 shared papers)Lide Wu (1 shared paper)
- Journals
- Journal of Agricultural and Food Chemistry (4 papers)Journal of Chromatography A (2 papers)Journal of Proteomics (2 papers)Analytical Chemistry (2 papers)Frontiers in Pharmacology (1 paper)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Wanjun Jin
22 papers receiving 392 citations
Peers
Comparison fields: 5 of 69
- Nutrition and Dietetics 72
- Spectroscopy 74
- Molecular Biology 264
- Organic Chemistry 106
- Immunology 50
Countries citing papers authored by Wanjun Jin
This map shows the geographic impact of Wanjun Jin'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 Wanjun Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wanjun Jin more than expected).
Fields of papers citing papers by Wanjun Jin
This network shows the impact of papers produced by Wanjun Jin. 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 Wanjun Jin. The network helps show where Wanjun Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Wanjun Jin, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 69 | |
| 2 | 2018 | 54 | |
| 3 | 2018 | 35 | |
| 4 | 2016 | 32 | |
| 5 | 2019 | 30 | |
| 6 | 2016 | 26 | |
| 7 | 2004 | 23 | |
| 8 | 2021 | 18 | |
| 9 | 2020 | 18 | |
| 10 | 2020 | 14 | |
| 11 | 2018 | 12 | |
| 12 | 2020 | 9 | |
| 13 | 2018 | 9 | |
| 14 | 2020 | 8 | |
| 15 | 2022 | 7 | |
| 16 | 2024 | 7 | |
| 17 | 2022 | 6 | |
| 18 | 2022 | 6 | |
| 19 | 2019 | 4 | |
| 20 | 2020 | 4 |
About Wanjun Jin
Wanjun Jin is a scholar working on Molecular Biology, Organic Chemistry, Nutrition and Dietetics, Cell Biology and Food Science, having authored 23 papers that have together received 394 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (18 papers), Carbohydrate Chemistry and Synthesis (11 papers), Infant Nutrition and Health (5 papers), Proteoglycans and glycosaminoglycans research (4 papers), Probiotics and Fermented Foods (2 papers), Mass Spectrometry Techniques and Applications (2 papers), Multimodal Machine Learning Applications (1 paper) and Advanced Proteomics Techniques and Applications (1 paper). The work is most often cited by research in Nutrition and Dietetics (72 citations), Spectroscopy (74 citations), Molecular Biology (264 citations), Organic Chemistry (106 citations) and Immunology (50 citations). Wanjun Jin has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Zhongfu Wang, Linjuan Huang, Chengjian Wang, Xuezheng Song, Ming Wei, Lingmei Li, Yu Lu, Lide Wu, Rongrong Wang and Kefang Liu. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Journal of Chromatography A, Journal of Proteomics, Analytical Chemistry and Frontiers in Pharmacology.
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.