Yan W. Asmann

14.2k total citations
154 papers, 5.9k citations indexed

About

Yan W. Asmann is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Yan W. Asmann has authored 154 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Molecular Biology, 38 papers in Cancer Research and 28 papers in Oncology. Recurrent topics in Yan W. Asmann's work include Cancer Genomics and Diagnostics (16 papers), RNA modifications and cancer (14 papers) and Lymphoma Diagnosis and Treatment (13 papers). Yan W. Asmann is often cited by papers focused on Cancer Genomics and Diagnostics (16 papers), RNA modifications and cancer (14 papers) and Lymphoma Diagnosis and Treatment (13 papers). Yan W. Asmann collaborates with scholars based in United States, Canada and United Kingdom. Yan W. Asmann's 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 Brian M. Necela and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Yan W. Asmann

151 papers receiving 5.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Yan W. Asmann United States	45	3.1k	1.1k	1.0k	923	702	154	5.9k
Gonzalo Goméz-López Spain	43	3.9k 1.3×	1.3k 1.1×	1.1k 1.1×	1.6k 1.7×	493 0.7×	111	6.2k
Hikaru Ueno Japan	46	4.7k 1.5×	1.1k 1.0×	1.2k 1.2×	778 0.8×	524 0.7×	109	7.7k
Alexei Protopopov United States	41	5.6k 1.8×	2.1k 1.8×	1.4k 1.4×	972 1.1×	519 0.7×	88	8.0k
Hajime Hosoi Japan	35	3.1k 1.0×	803 0.7×	981 1.0×	348 0.4×	835 1.2×	189	5.1k
Reinier O. Schlingemann Netherlands	60	4.3k 1.4×	843 0.7×	928 0.9×	516 0.6×	426 0.6×	187	12.9k
Madeleine E. Lemieux United States	33	4.3k 1.4×	634 0.6×	1.1k 1.1×	1.2k 1.3×	299 0.4×	67	7.3k
Nicholas C. Popescu United States	49	5.6k 1.8×	1.4k 1.2×	1.9k 1.9×	1.1k 1.1×	667 1.0×	104	8.6k
Caroline D. Monteiro United States	6	4.5k 1.4×	1.3k 1.1×	768 0.8×	596 0.6×	666 0.9×	6	7.1k
Qin Huang United States	47	3.1k 1.0×	1.1k 1.0×	1.9k 1.9×	593 0.6×	1.4k 2.1×	288	7.6k
David Bernard France	37	4.9k 1.6×	1.4k 1.2×	1.1k 1.1×	1.6k 1.7×	665 0.9×	115	7.3k

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-authorship network of co-authors of Yan W. Asmann

This figure shows the co-authorship network connecting the top 25 collaborators of Yan W. Asmann. A scholar is included among the top collaborators of Yan W. Asmann based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yan W. Asmann. Yan W. Asmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Wang, Panwen, Yue Yu, Haidong Dong, et al.. (2025). Immunopipe: a comprehensive and flexible scRNA-seq and scTCR-seq data analysis pipeline. NAR Genomics and Bioinformatics. 7(2). lqaf063–lqaf063.

Seligson, Nathan D., Yan W. Asmann, Mark Edgar, et al.. (2024). Molecular markers of proliferation, DNA repair, and immune infiltration defines high-risk subset of resectable retroperitoneal sarcomas. Surgical Oncology. 56. 102125–102125. 1 indexed citations

Wickland, Daniel P., Erik Jessen, Brian M. Necela, et al.. (2024). Comprehensive profiling of cancer neoantigens from aberrant RNA splicing. Journal for ImmunoTherapy of Cancer. 12(5). e008988–e008988. 4 indexed citations

Fernández-Gil, Beatriz I., Paula Schiapparelli, Carla Vazquez-Ramos, et al.. (2024). Effects of PreOperative radiotherapy in a preclinical glioblastoma model: a paradigm-shift approach. Journal of Neuro-Oncology. 169(3). 633–646. 2 indexed citations

Wang, Xue, Vivekananda Sarangi, Daniel P. Wickland, et al.. (2024). Identification of gene regulatory networks associated with breast cancer patient survival using an interpretable deep neural network model. Expert Systems with Applications. 262. 125632–125632. 1 indexed citations

Norton, Emily S., Mieu Brooks, Erik Jessen, et al.. (2024). Cell-specific cross-talk proteomics reveals cathepsin B signaling as a driver of glioblastoma malignancy near the subventricular zone. Science Advances. 10(32). eadn1607–eadn1607. 4 indexed citations

Sharma, Neeraj, James B. Smadbeck, Nadine Abdallah, et al.. (2021). The Prognostic Role of MYC Structural Variants Identified by NGS and FISH in Multiple Myeloma. Clinical Cancer Research. 27(19). 5430–5439. 22 indexed citations

Madamsetty, Vijay Sagar, Ramcharan Singh Angom, Shamit K. Dutta, et al.. (2021). Role of PLEXIND1/TGFβ Signaling Axis in Pancreatic Ductal Adenocarcinoma Progression Correlates with the Mutational Status of KRAS. Cancers. 13(16). 4048–4048. 6 indexed citations

Ogony, Joshua, Derek C. Radisky, Kathryn J. Ruddy, et al.. (2020). Immune Responses and Risk of Triple-negative Breast Cancer: Implications for Higher Rates among African American Women. Cancer Prevention Research. 13(11). 901–910. 10 indexed citations

10.

Yamazaki, Yu, Chia‐Chen Liu, Akari Yamazaki, et al.. (2020). Vascular ApoE4 Impairs Behavior by Modulating Gliovascular Function. Neuron. 109(3). 438–447.e6. 45 indexed citations

11.

Wang, Junwen, Aleksandar Sekulić, Jan B. Egan, et al.. (2019). Somatic selection distinguishes oncogenes and tumor suppressor genes. Bioinformatics. 36(6). 1712–1717. 23 indexed citations

12.

Wang, Yucai, Kerstin Wenzl, Michelle K. Manske, et al.. (2019). Amplification of 9p24.1 in diffuse large B-cell lymphoma identifies a unique subset of cases that resemble primary mediastinal large B-cell lymphoma. Blood Cancer Journal. 9(9). 73–73. 38 indexed citations

13.

Wenzl, Kerstin, Michelle K. Manske, Vivekananda Sarangi, et al.. (2018). Loss of TNFAIP3 enhances MYD88L265P-driven signaling in non-Hodgkin lymphoma. Blood Cancer Journal. 8(10). 97–97. 24 indexed citations

14.

Famà, Angelo, Jinhua Xiang, Brian K. Link, et al.. (2018). Human Pegivirus infection and lymphoma risk and prognosis: a North American study. British Journal of Haematology. 182(5). 644–653. 20 indexed citations

15.

Baughn, Linda B., Kathryn E. Pearce, Dirk R. Larson, et al.. (2018). Differences in genomic abnormalities among African individuals with monoclonal gammopathies using calculated ancestry. Blood Cancer Journal. 8(10). 96–96. 44 indexed citations

16.

Quick, Laura, Robert Young, Xiaoke Wang, et al.. (2016). Jak1–STAT3 Signals Are Essential Effectors of the USP6/TRE17 Oncogene in Tumorigenesis. Cancer Research. 76(18). 5337–5347. 36 indexed citations

17.

Braggio, Esteban, Scott Van Wier, Juhi Ojha, et al.. (2015). Genome-Wide Analysis Uncovers Novel Recurrent Alterations in Primary Central Nervous System Lymphomas. Clinical Cancer Research. 21(17). 3986–3994. 150 indexed citations

18.

Slager, Susan L., Sara J. Achenbach, Yan W. Asmann, et al.. (2013). Mapping of the IRF8 Gene Identifies a 3′UTR Variant Associated with Risk of Chronic Lymphocytic Leukemia but not Other Common Non-Hodgkin Lymphoma Subtypes. Cancer Epidemiology Biomarkers & Prevention. 22(3). 461–466. 12 indexed citations

19.

Asmann, Yan W., Brian M. Necela, Krishna R. Kalari, et al.. (2012). Detection of Redundant Fusion Transcripts as Biomarkers or Disease-Specific Therapeutic Targets in Breast Cancer. Cancer Research. 72(8). 1921–1928. 75 indexed citations

20.

Hou, Xiaonan, Fei Huang, Joan M. Carboni, et al.. (2011). Drug Efflux by Breast Cancer Resistance Protein Is a Mechanism of Resistance to the Benzimidazole Insulin-Like Growth Factor Receptor/Insulin Receptor Inhibitor, BMS-536924. Molecular Cancer Therapeutics. 10(1). 117–125. 16 indexed citations

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.

Explore authors with similar magnitude of impact