Xiaoming Wan
Impact in
- Pollution top 0.5%
- Heavy metals in environment
- Environmental Chemistry top 1%
- Arsenic contamination and mitigation
Papers in
- Pollution 63
- Heavy metals in environment 61
-
- Arsenic contamination and mitigation 49
- Co-authors
- Mei Lei (68 shared papers)Tongbin Chen (55 shared papers)Junxing Yang (15 shared papers)Chongyang Li (2 shared papers)Sanjai J. Parikh (2 shared papers)Jun R. Yang (32 shared papers)Weibin Zeng (18 shared papers)Lingqing Wang (14 shared papers)
- Journals
- The Science of The Total Environment (19 papers)Environmental Pollution (10 papers)Environmental Science and Pollution Research (8 papers)Applied Sciences (4 papers)Chemosphere (3 papers)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Xiaoming Wan
112 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 122
- Pollution 1.4k
- Environmental Chemistry 864
- Geochemistry and Petrology 331
- Health, Toxicology and Mutagenesis 409
- Water Science and Technology 318
Countries citing papers authored by Xiaoming Wan
This map shows the geographic impact of Xiaoming Wan'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 Xiaoming Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoming Wan more than expected).
Fields of papers citing papers by Xiaoming Wan
This network shows the impact of papers produced by Xiaoming Wan. 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 Xiaoming Wan. The network helps show where Xiaoming Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoming Wan, 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 115 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 325 | |
| 2 | 2020 | 208 | |
| 3 | 2019 | 109 | |
| 4 | 2016 | 88 | |
| 5 | 2012 | 84 | |
| 6 | 2022 | 73 | |
| 7 | 2011 | 62 | |
| 8 | 2016 | 62 | |
| 9 | 2022 | 59 | |
| 10 | 2017 | 58 | |
| 11 | 2016 | 57 | |
| 12 | 2020 | 51 | |
| 13 | 2016 | 47 | |
| 14 | 2020 | 47 | |
| 15 | 2015 | 46 | |
| 16 | 2017 | 44 | |
| 17 | 2021 | 43 | |
| 18 | 2017 | 41 | |
| 19 | 2022 | 36 | |
| 20 | 2022 | 35 |
About Xiaoming Wan
Xiaoming Wan is a scholar working on Pollution, Environmental Chemistry, Geochemistry and Petrology, Health, Toxicology and Mutagenesis and Biomaterials, having authored 115 papers that have together received 2.7k indexed citations. Recurring topics across this work include Heavy metals in environment (61 papers), Arsenic contamination and mitigation (49 papers), Clay minerals and soil interactions (15 papers), Coal and Its By-products (11 papers), Heavy Metal Exposure and Toxicity (9 papers), Plant Stress Responses and Tolerance (7 papers), Geochemistry and Geologic Mapping (6 papers) and Coastal wetland ecosystem dynamics (5 papers). The work is most often cited by research in Pollution (1.4k citations), Environmental Chemistry (864 citations), Geochemistry and Petrology (331 citations), Health, Toxicology and Mutagenesis (409 citations) and Water Science and Technology (318 citations). Xiaoming Wan has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Mei Lei, Tongbin Chen, Junxing Yang, Chongyang Li, Sanjai J. Parikh, Jun R. Yang, Weibin Zeng, Lingqing Wang, Kerstin Hockmann and Rainer Schulin. Their work appears in journals such as The Science of The Total Environment, Environmental Pollution, Environmental Science and Pollution Research, Applied Sciences and Chemosphere.
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.