Danae Schulz
Impact in
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- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
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- Genomics and Chromatin Dynamics
- DNA Repair Mechanisms
- RNA Research and Splicing
- Epigenetics and DNA Methylation
Papers in
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- Protein Degradation and Inhibitors 4
- Genomics and Chromatin Dynamics 2
- Epidemiology 10
- Trypanosoma species research and implications 10
- Co-authors
- F. Nina Papavasiliou (5 shared papers)Mark S. Schlissel (4 shared papers)Hee‐Sook Kim (2 shared papers)Zhongliang Ju (1 shared paper)Claudia Bossen (1 shared paper)Roy Riblet (1 shared paper)Stephanie C. Degner (1 shared paper)Barbara K. Birshtein (1 shared paper)
- Journals
- PLoS Genetics (2 papers)The Journal of Experimental Medicine (2 papers)mSphere (2 papers)PLoS ONE (2 papers)Journal of Visualized Experiments (2 papers)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Danae Schulz
18 papers receiving 405 citations
Peers
Comparison fields: 5 of 37
- Immunology 135
- Molecular Biology 252
- Epidemiology 116
- Parasitology 20
- Virology 13
Countries citing papers authored by Danae Schulz
This map shows the geographic impact of Danae Schulz'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 Danae Schulz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danae Schulz more than expected).
Fields of papers citing papers by Danae Schulz
This network shows the impact of papers produced by Danae Schulz. 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 Danae Schulz. The network helps show where Danae Schulz may publish in the future.
Co-authors
The 25 scholars most cited alongside Danae Schulz, 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 | 2011 | 170 | |
| 2 | 2015 | 51 | |
| 3 | 2016 | 44 | |
| 4 | 2011 | 38 | |
| 5 | 2007 | 26 | |
| 6 | 2011 | 25 | |
| 7 | 2020 | 14 | |
| 8 | 2015 | 9 | |
| 9 | 2013 | 6 | |
| 10 | 2020 | 6 | |
| 11 | 2023 | 6 | |
| 12 | 2022 | 3 | |
| 13 | 2024 | 3 | |
| 14 | 2016 | 3 | |
| 15 | 2023 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2016 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2023 | 0 |
About Danae Schulz
Danae Schulz is a scholar working on Molecular Biology, Epidemiology, Public Health, Environmental and Occupational Health, Immunology and Infectious Diseases, having authored 19 papers that have together received 408 indexed citations. Recurring topics across this work include Trypanosoma species research and implications (10 papers), Research on Leishmaniasis Studies (5 papers), Protein Degradation and Inhibitors (4 papers), HIV Research and Treatment (3 papers), Insect symbiosis and bacterial influences (3 papers), Plant Virus Research Studies (2 papers), Genomics and Chromatin Dynamics (2 papers) and Immunodeficiency and Autoimmune Disorders (2 papers). The work is most often cited by research in Immunology (135 citations), Molecular Biology (252 citations), Epidemiology (116 citations), Parasitology (20 citations) and Virology (13 citations). Danae Schulz has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include F. Nina Papavasiliou, Mark S. Schlissel, Hee‐Sook Kim, Zhongliang Ju, Claudia Bossen, Roy Riblet, Stephanie C. Degner, Barbara K. Birshtein, Ali Torkamani and G. Michael Iverson. Their work appears in journals such as PLoS Genetics, The Journal of Experimental Medicine, mSphere, PLoS ONE and Journal of Visualized Experiments.
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.