Min Ling
Impact in
- Transplantation top 2%
- Renal Transplantation Outcomes and Treatments
- Nephrology top 10%
- Renal Diseases and Glomerulopathies
Papers in
-
- Ubiquitin and proteasome pathways 1
- Plant Gene Expression Analysis 1
-
- Immunotherapy and Immune Responses 3
- Immune Cell Function and Interaction 2
- Co-authors
- Enver Akalin (2 shared papers)Kwaku Marfo (2 shared papers)Amy D. Lu (1 shared paper)Seah H. Lim (3 shared papers)Graciela de Boccardo (2 shared papers)Qizhan Liu (2 shared papers)Ying Pang (1 shared paper)Yue Xu (1 shared paper)
- Journals
- British Journal of Haematology (2 papers)BioMed Research International (1 paper)Clinical Journal of the American Society of Nephrology (1 paper)The Journal of Clinical Endocrinology & Metabolism (1 paper)PLoS ONE (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Min Ling
15 papers receiving 388 citations
Peers
Comparison fields: 5 of 60
- Transplantation 187
- Nephrology 49
- Immunology 98
- Hematology 37
- Cancer Research 28
Countries citing papers authored by Min Ling
This map shows the geographic impact of Min Ling'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 Min Ling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Ling more than expected).
Fields of papers citing papers by Min Ling
This network shows the impact of papers produced by Min Ling. 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 Min Ling. The network helps show where Min Ling may publish in the future.
Co-authors
The 25 scholars most cited alongside Min Ling, 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 | 2011 | 181 | |
| 2 | 2012 | 45 | |
| 3 | 2012 | 42 | |
| 4 | 2017 | 29 | |
| 5 | 1998 | 28 | |
| 6 | 2012 | 21 | |
| 7 | 1998 | 20 | |
| 8 | 2008 | 9 | |
| 9 | 2017 | 5 | |
| 10 | The water-soluble component of Salvia miltiorrhiza Bge can promote macrophage synthesis of C4 in vivo and in vitro. | 1993 | 5 |
| 11 | 2002 | 3 | |
| 12 | 2016 | 2 | |
| 13 | 2025 | 1 | |
| 14 | 2014 | 1 | |
| 15 | 2010 | 1 | |
| 16 | 2025 | 0 |
About Min Ling
Min Ling is a scholar working on Molecular Biology, Immunology, Epidemiology, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 16 papers that have together received 393 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (3 papers), Immunotherapy and Immune Responses (3 papers), Immune Cell Function and Interaction (2 papers), Ubiquitin and proteasome pathways (1 paper), Plant Gene Expression Analysis (1 paper), Animal Genetics and Reproduction (1 paper), Hepatitis B Virus Studies (1 paper) and Renal Transplantation Outcomes and Treatments (1 paper). The work is most often cited by research in Transplantation (187 citations), Nephrology (49 citations), Immunology (98 citations), Hematology (37 citations) and Cancer Research (28 citations). Min Ling has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Enver Akalin, Kwaku Marfo, Amy D. Lu, Seah H. Lim, Graciela de Boccardo, Qizhan Liu, Ying Pang, Yue Xu, Yuan Li and Xiaojun Yang. Their work appears in journals such as British Journal of Haematology, BioMed Research International, Clinical Journal of the American Society of Nephrology, The Journal of Clinical Endocrinology & Metabolism and PLoS ONE.
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.