Yiling Mi
Impact in
-
- Galectins and Cancer Biology
- Immune Cell Function and Interaction
-
- Acute Myeloid Leukemia Research
Papers in
-
- Glycosylation and Glycoproteins Research 6
- Epigenetics and DNA Methylation 1
-
- Acute Myeloid Leukemia Research 4
- Co-authors
- Jacques Baenziger (10 shared papers)Hans‐Joachim Gabius (1 shared paper)Carlo Unverzagt (1 shared paper)Dorothy Fiete (6 shared papers)Steven D. Shapiro (2 shared papers)Angela Lin (1 shared paper)Mary C. Beranek (3 shared papers)R. Reid Townsend (6 shared papers)
- Journals
- Journal of Biological Chemistry (4 papers)Journal of Clinical Investigation (4 papers)Blood (2 papers)Glycobiology (2 papers)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesGermanyPanama
In The Last Decade
Yiling Mi
14 papers receiving 406 citations
Peers
Comparison fields: 5 of 60
- Immunology 114
- Hematology 56
- Molecular Biology 273
- Radiology, Nuclear Medicine and Imaging 63
- Cell Biology 47
Countries citing papers authored by Yiling Mi
This map shows the geographic impact of Yiling Mi'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 Yiling Mi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yiling Mi more than expected).
Fields of papers citing papers by Yiling Mi
This network shows the impact of papers produced by Yiling Mi. 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 Yiling Mi. The network helps show where Yiling Mi may publish in the future.
Co-authors
The 25 scholars most cited alongside Yiling Mi, 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 | 2005 | 143 | |
| 2 | 2022 | 60 | |
| 3 | 2002 | 56 | |
| 4 | 2014 | 40 | |
| 5 | 2007 | 26 | |
| 6 | 2008 | 26 | |
| 7 | 2006 | 23 | |
| 8 | 2016 | 23 | |
| 9 | 2005 | 8 | |
| 10 | 2023 | 4 | |
| 11 | 2024 | 3 | |
| 12 | 2002 | 3 | |
| 13 | 2017 | 2 | |
| 14 | 2024 | 1 | |
| 15 | 2022 | 0 |
About Yiling Mi
Yiling Mi is a scholar working on Molecular Biology, Hematology, Immunology, Cell Biology and Agronomy and Crop Science, having authored 15 papers that have together received 418 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (6 papers), Acute Myeloid Leukemia Research (4 papers), Reproductive System and Pregnancy (3 papers), Reproductive Physiology in Livestock (3 papers), Advanced Proteomics Techniques and Applications (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers), Reproductive Biology and Fertility (2 papers) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Immunology (114 citations), Hematology (56 citations), Molecular Biology (273 citations), Radiology, Nuclear Medicine and Imaging (63 citations) and Cell Biology (47 citations). Yiling Mi has collaborated with scholars based in United States, Germany and Panama. Frequent co-authors include Jacques Baenziger, Hans‐Joachim Gabius, Carlo Unverzagt, Dorothy Fiete, Steven D. Shapiro, Angela Lin, Mary C. Beranek, R. Reid Townsend, Timothy J. Ley and Robert W. Sprung. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation, Blood, Glycobiology and Proceedings of the National Academy of Sciences.
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.