Yan W. Asmann
Impact in
- Cancer Research top 1%
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
- MicroRNA in disease regulation
- Hematology top 2%
- Multiple Myeloma Research and Treatments
Papers in
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- Molecular Biology Techniques and Applications 9
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- Cancer Genomics and Diagnostics 14
- MicroRNA in disease regulation 7
- Co-authors
- K. Sreekumaran Nair (15 shared papers)E. Aubrey Thompson (24 shared papers)Kevin R. Short (8 shared papers)Sumit Middha (7 shared papers)Jill M. Coenen-Schimke (5 shared papers)Zhifu Sun (12 shared papers)Krishna R. Kalari (9 shared papers)Maureen L. Bigelow (4 shared papers)
- Journals
- PLoS ONE (16 papers)Blood (8 papers)Blood Cancer Journal (7 papers)Bioinformatics (5 papers)Journal of Clinical Oncology (4 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Yan W. Asmann
153 papers receiving 6.0k citations
Peers
Comparison fields: 5 of 130
- Cancer Research 986
- Hematology 495
- Molecular Biology 2.7k
- Aging 64
- Oncology 851
Countries citing papers authored by Yan W. Asmann
This map shows the geographic impact of Yan W. Asmann'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 Yan W. Asmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan W. Asmann more than expected).
Fields of papers citing papers by Yan W. Asmann
This network shows the impact of papers produced by Yan W. Asmann. 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 Yan W. Asmann. The network helps show where Yan W. Asmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan W. Asmann, 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 156 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 286 | |
| 2 | 2009 | 263 | |
| 3 | 2014 | 244 | |
| 4 | 2012 | 185 | |
| 5 | 2015 | 152 | |
| 6 | 2006 | 151 | |
| 7 | 2008 | 147 | |
| 8 | 2015 | 144 | |
| 9 | 2008 | 137 | |
| 10 | 2009 | 135 | |
| 11 | 2017 | 121 | |
| 12 | 2011 | 116 | |
| 13 | 2019 | 114 | |
| 14 | 2017 | 112 | |
| 15 | 2012 | 112 | |
| 16 | 2011 | 111 | |
| 17 | 2014 | 110 | |
| 18 | 2010 | 103 | |
| 19 | 2007 | 100 | |
| 20 | 2011 | 82 |
About Yan W. Asmann
Yan W. Asmann is a scholar working on Molecular Biology, Cancer Research, Oncology, Pathology and Forensic Medicine and Hematology, having authored 156 papers that have together received 6.1k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (14 papers), Multiple Myeloma Research and Treatments (11 papers), Lymphoma Diagnosis and Treatment (11 papers), Molecular Biology Techniques and Applications (9 papers), Chronic Lymphocytic Leukemia Research (8 papers), Immunotherapy and Immune Responses (7 papers), MicroRNA in disease regulation (7 papers) and Adipose Tissue and Metabolism (6 papers). The work is most often cited by research in Cancer Research (986 citations), Hematology (495 citations), Molecular Biology (2.7k citations), Aging (64 citations) and Oncology (851 citations). Yan W. Asmann has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include K. Sreekumaran Nair, E. Aubrey Thompson, Kevin R. Short, Sumit Middha, Jill M. Coenen-Schimke, Zhifu Sun, Krishna R. Kalari, Maureen L. Bigelow, Katherine A. Klaus and Edith A. Perez. Their work appears in journals such as PLoS ONE, Blood, Blood Cancer Journal, Bioinformatics and Journal of Clinical Oncology.
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.