Markus A. Seeliger
Impact in
- Hematology top 1%
- Chronic Myeloid Leukemia Treatments
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 16
- Chronic Myeloid Leukemia Treatments 16
- Genetics 10
- Chronic Lymphocytic Leukemia Research 7
- Co-authors
- John KuriyanYibing ShanDavid E. ShawMichael P. EastwoodRon O. DrorEric T. KimNathanael S. GrayMohammad Azam
- Journals
- ACS Chemical Biology (6 papers)Journal of Molecular Biology (6 papers)Nature Communications (5 papers)Journal of Biological Chemistry (5 papers)Biochemistry (4 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Markus A. Seeliger
74 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Hematology 760
- Genetics 513
- Molecular Biology 3.1k
- Computational Theory and Mathematics 650
- Cell Biology 654
Countries citing papers authored by Markus A. Seeliger
This map shows the geographic impact of Markus A. Seeliger'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 Markus A. Seeliger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus A. Seeliger more than expected).
Fields of papers citing papers by Markus A. Seeliger
This network shows the impact of papers produced by Markus A. Seeliger. 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 Markus A. Seeliger. The network helps show where Markus A. Seeliger may publish in the future.
Co-authors
The 25 scholars most cited alongside Markus A. Seeliger, 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 | 2025 | 1 | |
| 2 | 2024 | 6 | |
| 3 | 2024 | 8 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 7 | |
| 6 | 2023 | 3 | |
| 7 | 2022 | 36 | |
| 8 | 2021 | 40 | |
| 9 | 2020 | 18 | |
| 10 | 2019 | 31 | |
| 11 | 2018 | 35 | |
| 12 | 2016 | 7 | |
| 13 | 2016 | 14 | |
| 14 | 2015 | 62 | |
| 15 | 2013 | 58 | |
| 16 | 2009 | 127 | |
| 17 | 2009 | 45 | |
| 18 | 2008 | 216 | |
| 19 | 2008 | 103 | |
| 20 | 2007 | 181 |
About Markus A. Seeliger
Markus A. Seeliger is a scholar working on Hematology, Genetics, Molecular Biology, Rheumatology and Cell Biology, having authored 74 papers that have together received 4.5k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (16 papers), Protein Kinase Regulation and GTPase Signaling (14 papers), Monoclonal and Polyclonal Antibodies Research (12 papers), Protein Structure and Dynamics (11 papers), Eosinophilic Disorders and Syndromes (10 papers), Computational Drug Discovery Methods (8 papers), Chronic Lymphocytic Leukemia Research (7 papers) and PI3K/AKT/mTOR signaling in cancer (6 papers). The work is most often cited by research in Hematology (760 citations), Genetics (513 citations), Molecular Biology (3.1k citations), Computational Theory and Mathematics (650 citations) and Cell Biology (654 citations). Markus A. Seeliger has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include John Kuriyan, Yibing Shan, David E. Shaw, Michael P. Eastwood, Ron O. Dror, Eric T. Kim, Nathanael S. Gray, Mohammad Azam, George Q. Daley and Michael Tong. Their work appears in journals such as ACS Chemical Biology, Journal of Molecular Biology, Nature Communications, Journal of Biological Chemistry and Biochemistry.
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.