Yan W. Asmann

14.4k citations
156 papers · 6.1k · h-index 46

Impact in

    • Cancer-related molecular mechanisms research
    • Cancer Genomics and Diagnostics
    • MicroRNA in disease regulation
  • Hematology top 2%
    • Multiple Myeloma Research and Treatments

Papers in

Yan W. Asmann

153 papers receiving 6.0k citations

Peers

Yan W. Asmann
Comparison fields: 5 of 130
  • Cancer Research 986
  • Hematology 495
  • Molecular Biology 2.7k
  • Aging 64
  • Oncology 851
Replace Mahmoud Ghandi with:
Mahmoud Ghandi United States
Matthew Mort United Kingdom
Peter D. Stenson United Kingdom
Caroline D. Monteiro United States
Nikolai A. Timchenko United States
Chet Birger United States
Injune Kim South Korea
Hesham A. Sadek United States
Hua Han China
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Yan W. Asmann relative to Mahmoud Ghandi United States Mahmoud Ghandi's profile →
Citations per field
00.5×4.3×
Mahmoud Ghandi · 1×
Citations per year

Countries citing papers authored by Yan W. Asmann

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Yan W. Asmann Line = papers co-authored together Yan W. Asmann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 156 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012286
2 2009263
3 2014244
4 2012185
5 2015152
6 2006151
7 2008147
8 2015144
9 2008137
10 2009135
11 2017121
12 2011116
13 2019114
14 2017112
15 2012112
16 2011111
17 2014110
18 2010103
19 2007100
20 201182

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.

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