Stefan Alig
Impact in
- Pathology and Forensic Medicine top 10%
- Lymphoma Diagnosis and Treatment
- Genetic factors in colorectal cancer
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- CAR-T cell therapy research
- Viral-associated cancers and disorders
- Cancer Immunotherapy and Biomarkers
Papers in
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- Lymphoma Diagnosis and Treatment 21
- Genetic factors in colorectal cancer 6
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- Cancer Genomics and Diagnostics 19
- Co-authors
- Martin Dreyling (4 shared papers)Joachim Pircher (3 shared papers)Florian Krötz (3 shared papers)Hanna Mannell (3 shared papers)Ash A. Alizadeh (21 shared papers)Elisabeth Koch (2 shared papers)Sarah Haebe (4 shared papers)Oliver Weigert (4 shared papers)
- Journals
- Blood (13 papers)Journal of Clinical Oncology (3 papers)Blood Advances (2 papers)Hematological Oncology (2 papers)Clinical & Translational Oncology (1 paper)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Stefan Alig
24 papers receiving 236 citations
Peers
Comparison fields: 5 of 59
- Pathology and Forensic Medicine 126
- Oncology 115
- Cancer Research 59
- Genetics 39
- Gastroenterology 11
Countries citing papers authored by Stefan Alig
This map shows the geographic impact of Stefan Alig'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 Stefan Alig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Alig more than expected).
Fields of papers citing papers by Stefan Alig
This network shows the impact of papers produced by Stefan Alig. 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 Stefan Alig. The network helps show where Stefan Alig may publish in the future.
Co-authors
The 25 scholars most cited alongside Stefan Alig, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 42 | |
| 2 | 2011 | 26 | |
| 3 | 2014 | 26 | |
| 4 | 2015 | 20 | |
| 5 | 2019 | 15 | |
| 6 | 2019 | 14 | |
| 7 | 2021 | 13 | |
| 8 | 2013 | 13 | |
| 9 | 2019 | 11 | |
| 10 | 2022 | 10 | |
| 11 | 2013 | 8 | |
| 12 | 2023 | 7 | |
| 13 | 2023 | 5 | |
| 14 | 2021 | 5 | |
| 15 | 2024 | 4 | |
| 16 | 2019 | 4 | |
| 17 | 2019 | 4 | |
| 18 | 2023 | 3 | |
| 19 | 2023 | 2 | |
| 20 | 2021 | 2 |
About Stefan Alig
Stefan Alig is a scholar working on Pathology and Forensic Medicine, Cancer Research, Oncology, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 32 papers that have together received 240 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (21 papers), Cancer Genomics and Diagnostics (19 papers), Genetic factors in colorectal cancer (6 papers), CAR-T cell therapy research (5 papers), Chronic Lymphocytic Leukemia Research (4 papers), Lung Cancer Treatments and Mutations (4 papers), Angiogenesis and VEGF in Cancer (3 papers) and Viral-associated cancers and disorders (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (126 citations), Oncology (115 citations), Cancer Research (59 citations), Genetics (39 citations) and Gastroenterology (11 citations). Stefan Alig has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Martin Dreyling, Joachim Pircher, Florian Krötz, Hanna Mannell, Ash A. Alizadeh, Elisabeth Koch, Sarah Haebe, Oliver Weigert, David M. Kurtz and Erik Gaitzsch. Their work appears in journals such as Blood, Journal of Clinical Oncology, Blood Advances, Hematological Oncology and Clinical & Translational 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.