Ling Wei
Impact in
- Hematology top 10%
- Blood groups and transfusion
-
- Erythrocyte Function and Pathophysiology
Papers in
- Hematology 14
- Blood groups and transfusion 14
- Physiology 12
- Erythrocyte Function and Pathophysiology 11
- Co-authors
- Yanli Ji (17 shared papers)C. J. Oberg (2 shared papers)Jeffery R. Broadbent (2 shared papers)Hua Wang (1 shared paper)Robert L. Flower (4 shared papers)Catherine A. Hyland (3 shared papers)Rong Xu (3 shared papers)Ron van der Hulst (1 shared paper)
- Journals
- Transfusion (8 papers)Vox Sanguinis (2 papers)Theoretical and Applied Genetics (1 paper)Systematic and Applied Microbiology (1 paper)National Science Review (1 paper)
- Partner nations
- ChinaNetherlandsAustralia
In The Last Decade
Ling Wei
27 papers receiving 265 citations
Peers
Comparison fields: 5 of 51
- Hematology 123
- Physiology 98
- Food Science 59
- Biotechnology 24
- Microbiology 17
Countries citing papers authored by Ling Wei
This map shows the geographic impact of Ling 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 Ling Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Wei more than expected).
Fields of papers citing papers by Ling Wei
This network shows the impact of papers produced by Ling 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 Ling Wei. The network helps show where Ling Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Ling 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 | 1997 | 34 | |
| 2 | 2004 | 28 | |
| 3 | 2016 | 22 | |
| 4 | 2017 | 21 | |
| 5 | 2018 | 18 | |
| 6 | 2020 | 18 | |
| 7 | 1998 | 17 | |
| 8 | 2020 | 17 | |
| 9 | 2013 | 15 | |
| 10 | 2015 | 14 | |
| 11 | 2018 | 13 | |
| 12 | 2016 | 12 | |
| 13 | 2018 | 9 | |
| 14 | 2019 | 8 | |
| 15 | 2022 | 5 | |
| 16 | 2016 | 5 | |
| 17 | 2022 | 4 | |
| 18 | Cloning and bioinformatics analysis of sequence signature of violaxanthin de-epoxidase cDNA in tea plant(Camellia sinensis(L.)O.Kuntzes) | 2003 | 3 |
| 19 | 2016 | 3 | |
| 20 | 2012 | 3 |
About Ling Wei
Ling Wei is a scholar working on Hematology, Physiology, Molecular Biology, Genetics and Food Science, having authored 31 papers that have together received 283 indexed citations. Recurring topics across this work include Blood groups and transfusion (14 papers), Erythrocyte Function and Pathophysiology (11 papers), Blood disorders and treatments (5 papers), Glycosylation and Glycoproteins Research (4 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Hepatitis B Virus Studies (2 papers), Proteins in Food Systems (2 papers) and Biochemical and Structural Characterization (2 papers). The work is most often cited by research in Hematology (123 citations), Physiology (98 citations), Food Science (59 citations), Biotechnology (24 citations) and Microbiology (17 citations). Ling Wei has collaborated with scholars based in China, Netherlands and Australia. Frequent co-authors include Yanli Ji, C. J. Oberg, Jeffery R. Broadbent, Hua Wang, Robert L. Flower, Catherine A. Hyland, Rong Xu, Ron van der Hulst, P. Stam and P. Lindhout. Their work appears in journals such as Transfusion, Vox Sanguinis, Theoretical and Applied Genetics, Systematic and Applied Microbiology and National Science Review.
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.