Wen Ling
Impact in
- Hematology top 2%
- Multiple Myeloma Research and Treatments
- Oncology top 5%
- Bone health and treatments
- Peptidase Inhibition and Analysis
Papers in
- Hematology 27
- Multiple Myeloma Research and Treatments 25
- Oncology 19
- Bone health and treatments 12
- Peptidase Inhibition and Analysis 6
- Co-authors
- Shmuel Yaccoby (32 shared papers)Bart Barlogie (27 shared papers)John D. Shaughnessy (12 shared papers)Ronald C. Walker (2 shared papers)Sharmin Khan (20 shared papers)Xin Li (15 shared papers)Fenghuang Zhan (3 shared papers)Angela Pennisi (10 shared papers)
- Journals
- Blood (19 papers)International Journal of Molecular Sciences (2 papers)American Journal of Hematology (2 papers)PLoS ONE (2 papers)Stem Cells (1 paper)
- Partner nations
- United StatesChinaItaly
In The Last Decade
Wen Ling
40 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 97
- Hematology 520
- Oncology 589
- Genetics 150
- Orthopedics and Sports Medicine 82
- Geriatrics and Gerontology 37
Countries citing papers authored by Wen Ling
This map shows the geographic impact of Wen 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 Wen Ling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wen Ling more than expected).
Fields of papers citing papers by Wen Ling
This network shows the impact of papers produced by Wen 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 Wen Ling. The network helps show where Wen Ling may publish in the future.
Co-authors
The 25 scholars most cited alongside Wen 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
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 340 | |
| 2 | Inhibitory effects of osteoblasts and increased bone formation on myeloma in novel culture systems and a myelomatous mouse model. | 2006 | 125 |
| 3 | 2008 | 110 | |
| 4 | 2003 | 99 | |
| 5 | 2009 | 79 | |
| 6 | 2021 | 69 | |
| 7 | 2010 | 67 | |
| 8 | 2013 | 47 | |
| 9 | 2013 | 45 | |
| 10 | 2010 | 35 | |
| 11 | 2012 | 29 | |
| 12 | 2009 | 22 | |
| 13 | 2022 | 19 | |
| 14 | 2010 | 16 | |
| 15 | 2009 | 14 | |
| 16 | 2015 | 14 | |
| 17 | 2006 | 10 | |
| 18 | 2014 | 9 | |
| 19 | 2016 | 9 | |
| 20 | 2021 | 9 |
About Wen Ling
Wen Ling is a scholar working on Hematology, Oncology, Molecular Biology, Genetics and Cancer Research, having authored 45 papers that have together received 1.2k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (25 papers), Bone health and treatments (12 papers), Peptidase Inhibition and Analysis (6 papers), Bone Metabolism and Diseases (5 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Mesenchymal stem cell research (3 papers), Sirtuins and Resveratrol in Medicine (3 papers) and Mitochondrial Function and Pathology (3 papers). The work is most often cited by research in Hematology (520 citations), Oncology (589 citations), Genetics (150 citations), Orthopedics and Sports Medicine (82 citations) and Geriatrics and Gerontology (37 citations). Wen Ling has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Shmuel Yaccoby, Bart Barlogie, John D. Shaughnessy, Ronald C. Walker, Sharmin Khan, Xin Li, Fenghuang Zhan, Angela Pennisi, Maurizio Zangari and Joshua Epstein. Their work appears in journals such as Blood, International Journal of Molecular Sciences, American Journal of Hematology, PLoS ONE and Stem Cells.
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.