Silke Neumann
Impact in
- Infectious Diseases top 5%
- Antifungal resistance and susceptibility
- Oncology top 5%
- Neutropenia and Cancer Infections
Papers in
- Oncology 13
- Neutropenia and Cancer Infections 8
- Co-authors
- Victor Sourjik (9 shared papers)Ganhui Lan (2 shared papers)Yuhai Tu (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)PLoS ONE (2 papers)The EMBO Journal (2 papers)
- Partner nations
- GermanyNew ZealandUnited States
In The Last Decade
Silke Neumann
45 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 132
- Infectious Diseases 294
- Oncology 389
- Epidemiology 423
- Statistical and Nonlinear Physics 164
- Immunology 182
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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 285 | |
| 2 | 2016 | 135 | |
| 3 | 2013 | 122 | |
| 4 | 2017 | 101 | |
| 5 | 2014 | 91 | |
| 6 | 2010 | 80 | |
| 7 | 2020 | 78 | |
| 8 | 2013 | 77 | |
| 9 | 2012 | 74 | |
| 10 | 2010 | 69 | |
| 11 | 2015 | 68 | |
| 12 | 2020 | 67 | |
| 13 | 2014 | 67 | |
| 14 | 2014 | 60 | |
| 15 | 2014 | 59 | |
| 16 | 2012 | 57 | |
| 17 | 2015 | 50 | |
| 18 | 2021 | 49 | |
| 19 | 2013 | 39 | |
| 20 | 2011 | 34 |
About Silke Neumann
Silke Neumann is a scholar working on Molecular Biology, Oncology, Epidemiology, Infectious Diseases and Immunology, having authored 45 papers that have together received 2.0k indexed citations. Recurring topics across this work include Neutropenia and Cancer Infections (8 papers), Immunotherapy and Immune Responses (5 papers), Immune Cell Function and Interaction (5 papers), Bacterial Genetics and Biotechnology (4 papers), Antifungal resistance and susceptibility (4 papers), Fungal Infections and Studies (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Pneumocystis jirovecii pneumonia detection and treatment (3 papers). The work is most often cited by research in Infectious Diseases (294 citations), Oncology (389 citations), Epidemiology (423 citations), Statistical and Nonlinear Physics (164 citations) and Immunology (182 citations). Silke Neumann has collaborated with scholars based in Germany, New Zealand and United States. Frequent co-authors include Victor Sourjik, Ganhui Lan, Yuhai Tu, 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, PLoS ONE and The EMBO Journal.
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.