Ines Pfeil
Impact in
- Pathology and Forensic Medicine top 10%
- Lymphoma Diagnosis and Treatment
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- Viral-associated cancers and disorders
Papers in
-
- Lymphoma Diagnosis and Treatment 5
- Genetic factors in colorectal cancer 1
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- DNA Repair Mechanisms 2
- Co-authors
- Ralf Küppers (4 shared papers)Martin‐Leo Hansmann (2 shared papers)Verena Brune (3 shared papers)Brunangelo Falini (3 shared papers)Dirk Metzler (2 shared papers)Andreas Bräuninger (3 shared papers)Enrico Tiacci (3 shared papers)Carel J.M. van Noesel (2 shared papers)
- Journals
- Blood (1 paper)Oncotarget (1 paper)The Journal of Experimental Medicine (1 paper)Oncogene (1 paper)Hematological Oncology (1 paper)
- Partner nations
- GermanyItalyNetherlands
In The Last Decade
Ines Pfeil
8 papers receiving 302 citations
Peers
Comparison fields: 5 of 38
- Pathology and Forensic Medicine 176
- Oncology 144
- Immunology 107
- Genetics 52
- Cancer Research 36
Countries citing papers authored by Ines Pfeil
This map shows the geographic impact of Ines Pfeil'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 Ines Pfeil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ines Pfeil more than expected).
Fields of papers citing papers by Ines Pfeil
This network shows the impact of papers produced by Ines Pfeil. 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 Ines Pfeil. The network helps show where Ines Pfeil may publish in the future.
Co-authors
The 25 scholars most cited alongside Ines Pfeil, 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 | 2008 | 237 | |
| 2 | 2009 | 20 | |
| 3 | 2006 | 19 | |
| 4 | Brune V, Tiacci E, Pfeil I, Döring C, Eckerle S, van Noesel CJ et al.. Origin and pathogenesis of nodular lymphocyte-predominant Hodgkin lymphoma as revealed by global gene expression analysis. J Exp Med 205: 2251-2268 | 2008 | 11 |
| 5 | 2019 | 7 | |
| 6 | 2016 | 6 | |
| 7 | 2012 | 2 | |
| 8 | 2009 | 1 |
About Ines Pfeil
Ines Pfeil is a scholar working on Pathology and Forensic Medicine, Molecular Biology, Oncology, Immunology and Pulmonary and Respiratory Medicine, having authored 8 papers that have together received 303 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (5 papers), DNA Repair Mechanisms (2 papers), PARP inhibition in cancer therapy (2 papers), Immune Cell Function and Interaction (2 papers), Cancer Genomics and Diagnostics (1 paper), Cancer, Hypoxia, and Metabolism (1 paper), Genetic factors in colorectal cancer (1 paper) and Lung Cancer Treatments and Mutations (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (176 citations), Oncology (144 citations), Immunology (107 citations), Genetics (52 citations) and Cancer Research (36 citations). Ines Pfeil has collaborated with scholars based in Germany, Italy and Netherlands. Frequent co-authors include Ralf Küppers, Martin‐Leo Hansmann, Verena Brune, Brunangelo Falini, Dirk Metzler, Andreas Bräuninger, Enrico Tiacci, Carel J.M. van Noesel, Susan Eckerle and Anja von Heydebreck. Their work appears in journals such as Blood, Oncotarget, The Journal of Experimental Medicine, Oncogene and Hematological 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.