Jun Long
Impact in
- Plant Science top 5%
- Silicon Effects in Agriculture
- Plant Stress Responses and Tolerance
- Plant Micronutrient Interactions and Effects
- Pollution top 5%
- Heavy metals in environment
Papers in
-
- Acute Myeloid Leukemia Research 5
-
- Soil Geostatistics and Mapping 4
- Co-authors
- Yuanyuan Song (3 shared papers)Rensen Zeng (3 shared papers)Daoqian Chen (1 shared paper)Yibin Lin (1 shared paper)Dongmei Chen (1 shared paper)Rui Xue (1 shared paper)Xianhui Lin (1 shared paper)Scott R. Baerson (2 shared papers)
- Journals
- Ecological Indicators (2 papers)Proceedings of the National Academy of Sciences (2 papers)Journal of Hazardous Materials (1 paper)Blood (1 paper)Frontiers in Microbiology (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Jun Long
18 papers receiving 969 citations
Peers
Comparison fields: 5 of 74
- Plant Science 467
- Pollution 128
- Insect Science 107
- Hematology 104
- Environmental Engineering 84
Countries citing papers authored by Jun Long
This map shows the geographic impact of Jun Long'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 Jun Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Long more than expected).
Fields of papers citing papers by Jun Long
This network shows the impact of papers produced by Jun Long. 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 Jun Long. The network helps show where Jun Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Long, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 310 | |
| 2 | 2018 | 291 | |
| 3 | 2019 | 71 | |
| 4 | 2020 | 67 | |
| 5 | 2017 | 62 | |
| 6 | 2018 | 53 | |
| 7 | 2019 | 40 | |
| 8 | 2015 | 26 | |
| 9 | 2017 | 20 | |
| 10 | 2021 | 12 | |
| 11 | 2025 | 8 | |
| 12 | 2023 | 6 | |
| 13 | 2023 | 6 | |
| 14 | 2023 | 2 | |
| 15 | 2025 | 2 | |
| 16 | Spatial interpolation of soil organic matter in farmlands in areas complex in landform. | 2014 | 1 |
| 17 | 2024 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2024 | 0 |
About Jun Long
Jun Long is a scholar working on Hematology, Environmental Engineering, Insect Science, Urology and Neurology, having authored 21 papers that have together received 980 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (5 papers), Soil Geostatistics and Mapping (4 papers), Insect-Plant Interactions and Control (2 papers), Kidney Stones and Urolithiasis Treatments (2 papers), Silicon Effects in Agriculture (2 papers), Antifungal resistance and susceptibility (1 paper), Urinary Bladder and Prostate Research (1 paper) and Histone Deacetylase Inhibitors Research (1 paper). The work is most often cited by research in Plant Science (467 citations), Pollution (128 citations), Insect Science (107 citations), Hematology (104 citations) and Environmental Engineering (84 citations). Jun Long has collaborated with scholars based in China and United States. Frequent co-authors include Yuanyuan Song, Rensen Zeng, Daoqian Chen, Yibin Lin, Dongmei Chen, Rui Xue, Xianhui Lin, Scott R. Baerson, Zhiqiang Pan and Keyan Zhu‐Salzman. Their work appears in journals such as Ecological Indicators, Proceedings of the National Academy of Sciences, Journal of Hazardous Materials, Blood and Frontiers in Microbiology.
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.