Silke Neumann
Impact in
- Infectious Diseases top 5%
- Antifungal resistance and susceptibility
- Oncology top 5%
- Neutropenia and Cancer Infections
Papers in
- Oncology 16
- Neutropenia and Cancer Infections 9
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- Gene Regulatory Network Analysis 3
- Co-authors
- Victor Sourjik (9 shared papers)Yuhai Tu (2 shared papers)Ganhui Lan (2 shared papers)Georg Maschmeyer (10 shared papers)Pablo Sartori (1 shared paper)Olaf Penack (7 shared papers)Marie von Lilienfeld‐Toal (5 shared papers)Oliver A. Cornely (7 shared papers)
- Journals
- Annals of Hematology (7 papers)Annals of Oncology (4 papers)International Journal of Molecular Sciences (3 papers)Frontiers in Immunology (2 papers)Cancers (2 papers)
- Partner nations
- GermanyNew ZealandUnited States
In The Last Decade
Silke Neumann
46 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 131
- Infectious Diseases 356
- Oncology 469
- Epidemiology 541
- Statistical and Nonlinear Physics 160
- Clinical Biochemistry 76
Countries citing papers authored by Silke Neumann
This map shows the geographic impact of Silke Neumann'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 Silke Neumann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silke Neumann more than expected).
Fields of papers citing papers by Silke Neumann
This network shows the impact of papers produced by Silke Neumann. 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 Silke Neumann. The network helps show where Silke Neumann may publish in the future.
Co-authors
The 25 scholars most cited alongside Silke Neumann, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 274 | |
| 2 | 2016 | 133 | |
| 3 | 2013 | 121 | |
| 4 | 2017 | 100 | |
| 5 | 2014 | 90 | |
| 6 | 2010 | 80 | |
| 7 | 2013 | 76 | |
| 8 | 2020 | 75 | |
| 9 | 2012 | 73 | |
| 10 | 2010 | 67 | |
| 11 | 2014 | 67 | |
| 12 | 2015 | 66 | |
| 13 | 2020 | 64 | |
| 14 | 2014 | 59 | |
| 15 | 2014 | 58 | |
| 16 | 2012 | 56 | |
| 17 | 2015 | 50 | |
| 18 | 2021 | 46 | |
| 19 | 2013 | 39 | |
| 20 | 2011 | 34 |
About Silke Neumann
Silke Neumann is a scholar working on Oncology, Molecular Biology, Epidemiology, Infectious Diseases and Immunology, having authored 46 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neutropenia and Cancer Infections (9 papers), Immune Cell Function and Interaction (5 papers), Immunotherapy and Immune Responses (5 papers), Antifungal resistance and susceptibility (4 papers), Bacterial Genetics and Biotechnology (4 papers), Pneumocystis jirovecii pneumonia detection and treatment (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Gene Regulatory Network Analysis (3 papers). The work is most often cited by research in Infectious Diseases (356 citations), Oncology (469 citations), Epidemiology (541 citations), Statistical and Nonlinear Physics (160 citations) and Clinical Biochemistry (76 citations). Silke Neumann has collaborated with scholars based in Germany, New Zealand and United States. Frequent co-authors include Victor Sourjik, Yuhai Tu, Ganhui Lan, Georg Maschmeyer, Pablo Sartori, Olaf Penack, Marie von Lilienfeld‐Toal, Oliver A. Cornely, Martin Schmidt‐Hieber and Markus Ruhnke. Their work appears in journals such as Annals of Hematology, Annals of Oncology, International Journal of Molecular Sciences, Frontiers in Immunology and Cancers.
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.