Xueming Wei
Impact in
- Endocrinology top 5%
- Vibrio bacteria research studies
- Pollution top 5%
- Wastewater Treatment and Nitrogen Removal
Papers in
-
- Bacterial biofilms and quorum sensing 6
- Genomics and Phylogenetic Studies 3
- Ecology 6
- Microbial Community Ecology and Physiology 4
- Co-authors
- Daniel Wall (7 shared papers)Darshankumar T. Pathak (5 shared papers)Danny W. Rice (1 shared paper)Kerrie Barry (1 shared paper)Andrew J. Alverson (1 shared paper)David B. Stern (1 shared paper)J D Palmer (1 shared paper)Daniel J. Arp (5 shared papers)
- Journals
- Materials Letters (3 papers)Applied and Environmental Microbiology (2 papers)PLoS Genetics (2 papers)Microbiology (2 papers)Journal of Bacteriology (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Xueming Wei
28 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 98
- Endocrinology 130
- Pollution 190
- Ecology 312
- Molecular Biology 670
- Genetics 266
Countries citing papers authored by Xueming Wei
This map shows the geographic impact of Xueming Wei'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 Xueming Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xueming Wei more than expected).
Fields of papers citing papers by Xueming Wei
This network shows the impact of papers produced by Xueming Wei. 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 Xueming Wei. The network helps show where Xueming Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Xueming Wei, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 406 | |
| 2 | 2007 | 135 | |
| 3 | 2011 | 127 | |
| 4 | 2012 | 94 | |
| 5 | 2013 | 69 | |
| 6 | 2024 | 54 | |
| 7 | 1998 | 51 | |
| 8 | 2006 | 48 | |
| 9 | 2011 | 47 | |
| 10 | 2004 | 43 | |
| 11 | 2014 | 43 | |
| 12 | 2006 | 38 | |
| 13 | 2012 | 31 | |
| 14 | 2008 | 26 | |
| 15 | 2019 | 23 | |
| 16 | 2023 | 21 | |
| 17 | 1999 | 19 | |
| 18 | 2008 | 17 | |
| 19 | 2015 | 17 | |
| 20 | 2024 | 12 |
About Xueming Wei
Xueming Wei is a scholar working on Molecular Biology, Ecology, Endocrinology, Aerospace Engineering and Mechanical Engineering, having authored 31 papers that have together received 1.4k indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (6 papers), High-Temperature Coating Behaviors (5 papers), Vibrio bacteria research studies (5 papers), High Entropy Alloys Studies (5 papers), Microbial Fuel Cells and Bioremediation (4 papers), Microbial Community Ecology and Physiology (4 papers), Advanced materials and composites (3 papers) and Genomics and Phylogenetic Studies (3 papers). The work is most often cited by research in Endocrinology (130 citations), Pollution (190 citations), Ecology (312 citations), Molecular Biology (670 citations) and Genetics (266 citations). Xueming Wei has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Daniel Wall, Darshankumar T. Pathak, Danny W. Rice, Kerrie Barry, Andrew J. Alverson, David B. Stern, J D Palmer, Daniel J. Arp, Wolfgang Bauer and Richard H. Ebright. Their work appears in journals such as Materials Letters, Applied and Environmental Microbiology, PLoS Genetics, Microbiology and Journal of Bacteriology.
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.