Jun Long
Impact in
- Geochemistry and Petrology top 5%
- Geochemistry and Elemental Analysis
- Plant Science top 5%
- Aluminum toxicity and tolerance in plants and animals
- Silicon Effects in Agriculture
- Plant Stress Responses and Tolerance
- Plant Micronutrient Interactions and Effects
Papers in
-
- Protein Degradation and Inhibitors 3
- Co-authors
- Rensen Zeng (3 shared papers)Yuanyuan Song (3 shared papers)Xianhui Lin (1 shared paper)Rui Xue (1 shared paper)Daoqian Chen (1 shared paper)Dongmei Chen (1 shared paper)Yibin Lin (1 shared paper)Mao Ye (2 shared papers)
- Journals
- Journal of Economic Entomology (3 papers)Ecological Indicators (2 papers)Proceedings of the National Academy of Sciences (2 papers)Cell Reports Medicine (1 paper)Plant Cell & Environment (1 paper)
- Partner nations
- ChinaUnited StatesBrazil
In The Last Decade
Jun Long
19 papers receiving 831 citations
Peers
Comparison fields: 5 of 89
- Geochemistry and Petrology 123
- Plant Science 504
- Pollution 115
- Insect Science 89
- Soil Science 68
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 | 267 | |
| 2 | 2018 | 262 | |
| 3 | 2019 | 59 | |
| 4 | 2017 | 52 | |
| 5 | 2018 | 50 | |
| 6 | 2019 | 35 | |
| 7 | 2015 | 25 | |
| 8 | 1994 | 19 | |
| 9 | 2017 | 19 | |
| 10 | 1995 | 15 | |
| 11 | 2021 | 10 | |
| 12 | 2022 | 7 | |
| 13 | 2023 | 6 | |
| 14 | 2025 | 5 | |
| 15 | 2023 | 5 | |
| 16 | 1995 | 3 | |
| 17 | Spatial interpolation of soil organic matter in farmlands in areas complex in landform. | 2014 | 1 |
| 18 | 2024 | 1 | |
| 19 | 2011 | 1 | |
| 20 | 2025 | 0 |
About Jun Long
Jun Long is a scholar working on Plant Science, Molecular Biology, Hematology, Insect Science and Ecology, having authored 21 papers that have together received 842 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (4 papers), Insect-Plant Interactions and Control (4 papers), Soil Carbon and Nitrogen Dynamics (3 papers), Protein Degradation and Inhibitors (3 papers), Insect and Pesticide Research (3 papers), Soil Geostatistics and Mapping (3 papers), Image Processing Techniques and Applications (2 papers) and Digital Holography and Microscopy (2 papers). The work is most often cited by research in Geochemistry and Petrology (123 citations), Plant Science (504 citations), Pollution (115 citations), Insect Science (89 citations) and Soil Science (68 citations). Jun Long has collaborated with scholars based in China, United States and Brazil. Frequent co-authors include Rensen Zeng, Yuanyuan Song, Xianhui Lin, Rui Xue, Daoqian Chen, Dongmei Chen, Yibin Lin, Mao Ye, Zhiqiang Pan and Scott R. Baerson. Their work appears in journals such as Journal of Economic Entomology, Ecological Indicators, Proceedings of the National Academy of Sciences, Cell Reports Medicine and Plant Cell & Environment.
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.