Ming Xie
Impact in
- Immunology top 5%
- Immune Response and Inflammation
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Immune cells in cancer
- Microbiology top 5%
- Antimicrobial Peptides and Activities
Papers in
-
- Web Data Mining and Analysis 3
- Service-Oriented Architecture and Web Services 2
- Recommender Systems and Techniques 2
-
- Smart Grid and Power Systems 2
- Co-authors
- Melanie R. Mark (1 shared paper)Min Zhang (1 shared paper)Audrey D. Goddard (1 shared paper)Paul J. Godowski (1 shared paper)Arthur Huang (1 shared paper)William I. Wood (1 shared paper)Ruey‐Bing Yang (1 shared paper)Austin Gurney (1 shared paper)
- Journals
- Plant Stress (1 paper)Journal of Building Engineering (1 paper)Genes & Diseases (1 paper)Biomedicine & Pharmacotherapy (1 paper)BMC Ophthalmology (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Ming Xie
18 papers receiving 1.1k citations
Ming Xie's Hit Papers
Peers
Comparison fields: 5 of 125
- Immunology 785
- Microbiology 148
- Cancer Research 193
- Endocrinology 36
- Immunology and Allergy 33
Countries citing papers authored by Ming Xie
This map shows the geographic impact of Ming Xie'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 Ming Xie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Xie more than expected).
Fields of papers citing papers by Ming Xie
This network shows the impact of papers produced by Ming Xie. 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 Ming Xie. The network helps show where Ming Xie may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Xie, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Toll-like receptor-2 mediates lipopolysaccharide-induced cellular signalling Hit paper breakdown → | 1998 | 1046 |
| 2 | 2023 | 26 | |
| 3 | 2023 | 20 | |
| 4 | 2023 | 18 | |
| 5 | 2024 | 12 | |
| 6 | 2001 | 7 | |
| 7 | 2011 | 6 | |
| 8 | 2024 | 3 | |
| 9 | 2024 | 3 | |
| 10 | 2011 | 3 | |
| 11 | 2012 | 2 | |
| 12 | 2023 | 1 | |
| 13 | 2023 | 1 | |
| 14 | 2025 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2011 | 1 | |
| 17 | 2016 | 1 | |
| 18 | 2021 | 1 | |
| 19 | 2024 | 0 | |
| 20 | 2024 | 0 |
About Ming Xie
Ming Xie is a scholar working on Information Systems, Electrical and Electronic Engineering, Molecular Biology, Artificial Intelligence and Immunology, having authored 26 papers that have together received 1.2k indexed citations. Recurring topics across this work include Web Data Mining and Analysis (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Advanced Battery Technologies Research (2 papers), Semantic Web and Ontologies (2 papers), Smart Grid and Power Systems (2 papers), Service-Oriented Architecture and Web Services (2 papers), Recommender Systems and Techniques (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Immunology (785 citations), Microbiology (148 citations), Cancer Research (193 citations), Endocrinology (36 citations) and Immunology and Allergy (33 citations). Ming Xie has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Melanie R. Mark, Min Zhang, Audrey D. Goddard, Paul J. Godowski, Arthur Huang, William I. Wood, Ruey‐Bing Yang, Austin Gurney, Wenyong Li and Ruifu Zhang. Their work appears in journals such as Plant Stress, Journal of Building Engineering, Genes & Diseases, Biomedicine & Pharmacotherapy and BMC Ophthalmology.
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.