Ling Mai
Impact in
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments
- Immunology top 10%
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immune Response and Inflammation
Papers in
-
- Immune Cell Function and Interaction 3
- Galectins and Cancer Biology 1
- Immunotherapy and Immune Responses 1
- Oncology 4
- Pancreatic and Hepatic Oncology Research 2
- Co-authors
- Wayne W. Hancock (1 shared paper)Jennifer King (1 shared paper)Vilmos Csizmadia (1 shared paper)Wei Gao (1 shared paper)Norma P. Gerard (1 shared paper)Stephen T. Smiley (1 shared paper)Craig Gérard (1 shared paper)Bao Lu (1 shared paper)
- Journals
- Clinica Chimica Acta (1 paper)The Journal of Experimental Medicine (1 paper)Stem Cells and Development (1 paper)Oncology Research and Treatment (2 papers)Oncology Letters (3 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Ling Mai
12 papers receiving 656 citations
Ling Mai's Hit Papers
Peers
Comparison fields: 5 of 62
- Transplantation 52
- Immunology 366
- Oncology 305
- Immunology and Allergy 36
- Hematology 29
Countries citing papers authored by Ling Mai
This map shows the geographic impact of Ling Mai'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 Ling Mai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Mai more than expected).
Fields of papers citing papers by Ling Mai
This network shows the impact of papers produced by Ling Mai. 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 Ling Mai. The network helps show where Ling Mai may publish in the future.
Co-authors
The 25 scholars most cited alongside Ling Mai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Requirement of the Chemokine Receptor CXCR3 for Acute Allograft Rejection Hit paper breakdown → | 2000 | 552 |
| 2 | 2011 | 26 | |
| 3 | 2016 | 26 | |
| 4 | 2017 | 19 | |
| 5 | 2013 | 18 | |
| 6 | 2015 | 10 | |
| 7 | 2015 | 8 | |
| 8 | 2014 | 5 | |
| 9 | 2015 | 5 | |
| 10 | 2015 | 3 | |
| 11 | 2011 | 2 | |
| 12 | 2022 | 1 |
About Ling Mai
Ling Mai is a scholar working on Immunology, Oncology, Pathology and Forensic Medicine, Hematology and Molecular Biology, having authored 12 papers that have together received 675 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (3 papers), Pancreatic and Hepatic Oncology Research (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Chronic Myeloid Leukemia Treatments (1 paper), Epigenetics and DNA Methylation (1 paper), Galectins and Cancer Biology (1 paper), Immunotherapy and Immune Responses (1 paper) and Amino Acid Enzymes and Metabolism (1 paper). The work is most often cited by research in Transplantation (52 citations), Immunology (366 citations), Oncology (305 citations), Immunology and Allergy (36 citations) and Hematology (29 citations). Ling Mai has collaborated with scholars based in China and United States. Frequent co-authors include Wayne W. Hancock, Jennifer King, Vilmos Csizmadia, Wei Gao, Norma P. Gerard, Stephen T. Smiley, Craig Gérard, Bao Lu, Baijun Fang and Yongping Song. Their work appears in journals such as Clinica Chimica Acta, The Journal of Experimental Medicine, Stem Cells and Development, Oncology Research and Treatment and Oncology Letters.
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.