Lei Shao
- Geology top 0.1%
- Geophysics top 2%
- Atmospheric Science top 2%
- Earth-Surface Processes top 0.5%
- Geochemistry and Petrology top 1%
- Topics
- Geological and Geophysical Studies (54 papers)Geological and Geochemical Analysis (25 papers)Geology and Paleoclimatology Research (21 papers)
In The Last Decade
Lei Shao
76 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 69
- Geology 1.5k
- Geophysics 866
- Atmospheric Science 817
- Earth-Surface Processes 811
- Geochemistry and Petrology 473
Countries citing papers authored by Lei Shao
This map shows the geographic impact of Lei Shao'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 Lei Shao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lei Shao more than expected).
Fields of papers citing papers by Lei Shao
This network shows the impact of papers produced by Lei Shao. 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 Lei Shao. The network helps show where Lei Shao may publish in the future.
Co-authorship network of co-authors of Lei Shao
This figure shows the co-authorship network connecting the top 25 collaborators of Lei Shao. A scholar is included among the top collaborators of Lei Shao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lei Shao. Lei Shao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 7 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 19 | |
| 9 | 22 | |
| 10 | Grain-size Dependence and Environment Significance of Trace Elements from ZL Core in the Jianghan Basin | 2 |
| 11 | Ti-Augite in Sediments of the Jianghan Plain as Tracing Mineral: Implication for the Evolution of the Yangtze River | 2 |
| 12 | Research concept of formation of Yangtze Three Gorges based on diagnostic minerals tracing | 4 |
| 13 | Heavy Minerals Characteristics of Sediments in Jianghan Plain and Its Indication to the Forming of the Three Gorges | 12 |
| 14 | Sedimentary Filling of the Pearl River Mouth Basin and Its Response to the Evolution of the Pearl River | 28 |
| 15 | MICROFOSSIL EVIDENCE FOR DEVELOPMENT OF MARINE MESOZOIC IN THE NORTH OF SOUTH CHINA SEA | 19 |
| 16 | 131 | |
| 17 | Petrology and Depositional Environments of Mesozoic Strata in the Northeastern South China Sea | 38 |
| 18 | 58 | |
| 19 | DIRECT EVIDENCE FOR DEVELOPMENT OF BOHAI PALEOLAKE DURING THE NEOGENE | 4 |
| 20 | 28 |
About Lei Shao
Lei Shao is a scholar working on Geology, Geochemistry and Petrology and Earth-Surface Processes, having authored 79 papers that have together received 2.4k indexed citations. Recurring topics across this work include Geological and Geophysical Studies (54 papers), Geological and Geochemical Analysis (25 papers) and Geology and Paleoclimatology Research (21 papers). The work is most often cited by research in Geology (1.5k citations), Earth-Surface Processes (811 citations) and Geochemistry and Petrology (473 citations). Lei Shao has collaborated with scholars based in China, Australia and Germany. Frequent co-authors include Peijun Qiao, Gangjian Wei, Xian‐Hua Li, Ying Liu, Xirong Liang, Yuchi Cui, Licheng Cao, Xiong Pang, Karl Stattegger and Qianyu Li. Their work appears in journals such as Bioresource Technology, Earth and Planetary Science Letters and Earth-Science Reviews.
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.