Natalie K. Wolf
- Molecular Biology top 10%
- Immunology top 5%
- Oncology top 10%
- Cancer Research
- Infectious Diseases top 10%
- Co-authors
- David H. RauletDjem KissiovRamnik J. XavierGregory M. BartonEric BrownKrystal L. ChingMeghan A. KochChristopher J. Nicolai
- Topics
- Immune Cell Function and Interaction (8 papers)interferon and immune responses (4 papers)CRISPR and Genetic Engineering (3 papers)
- Cited by
- ImmunologyOncologyMolecular Biology
- Partner nations
- United StatesGermanyHong Kong
In The Last Decade
Natalie K. Wolf
22 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Molecular Biology 804
- Immunology 679
- Oncology 397
- Cancer Research 156
- Infectious Diseases 154
Countries citing papers authored by Natalie K. Wolf
This map shows the geographic impact of Natalie K. Wolf'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 Natalie K. Wolf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalie K. Wolf more than expected).
Fields of papers citing papers by Natalie K. Wolf
This network shows the impact of papers produced by Natalie K. Wolf. 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 Natalie K. Wolf. The network helps show where Natalie K. Wolf may publish in the future.
Co-authorship network of co-authors of Natalie K. Wolf
This figure shows the co-authorship network connecting the top 25 collaborators of Natalie K. Wolf. A scholar is included among the top collaborators of Natalie K. Wolf based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Natalie K. Wolf. Natalie K. Wolf is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 9 | |
| 4 | Roles of natural killer cells in immunity to cancer, and applications to immunotherapybreakdown → | 318 |
| 5 | 108 | |
| 6 | 43 | |
| 7 | 1 | |
| 8 | 14 | |
| 9 | 7 | |
| 10 | 13 | |
| 11 | Akkermansia muciniphila induces intestinal adaptive immune responses during homeostasisbreakdown → | 397 |
| 12 | 14 | |
| 13 | 49 | |
| 14 | 84 | |
| 15 | 11 | |
| 16 | 23 | |
| 17 | 68 | |
| 18 | 108 | |
| 19 | DSABR : Di stributed System for Automated Blender Rendering | 0 |
| 20 | 63 |
About Natalie K. Wolf
Natalie K. Wolf is a scholar working on Immunology, Computer Graphics and Computer-Aided Design and Molecular Biology, having authored 23 papers that have together received 1.6k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (8 papers), interferon and immune responses (4 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Immunology (679 citations), Oncology (397 citations) and Molecular Biology (804 citations). Natalie K. Wolf has collaborated with scholars based in United States, Germany and Hong Kong. Frequent co-authors include David H. Raulet, Djem Kissiov, Ramnik J. Xavier, Gregory M. Barton, Eric Brown, Krystal L. Ching, Meghan A. Koch, Christopher J. Nicolai, Damian R. Plichta and Daniel B. Graham. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.