Kimberly S. Schluns
- Immunology top 0.1%
- Oncology top 1%
- Molecular Biology top 5%
- Epidemiology top 5%
- Genetics top 5%
- Co-authors
- Leo LefrançoisStephen C. JamesonChen DongRoza NurievaXuexian O. YangWilliam C. KieperAnton M. JettenStephanie S. Watowich
- Topics
- Immune Cell Function and Interaction (41 papers)T-cell and B-cell Immunology (37 papers)Immunotherapy and Immune Responses (19 papers)
- Cited by
- ImmunologyOncologyVirology
- Partner nations
- United StatesFinlandChina
In The Last Decade
Kimberly S. Schluns
59 papers receiving 9.8k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Immunology 8.5k
- Oncology 2.2k
- Molecular Biology 1.4k
- Epidemiology 871
- Genetics 654
Countries citing papers authored by Kimberly S. Schluns
This map shows the geographic impact of Kimberly S. Schluns'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 Kimberly S. Schluns with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kimberly S. Schluns more than expected).
Fields of papers citing papers by Kimberly S. Schluns
This network shows the impact of papers produced by Kimberly S. Schluns. 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 Kimberly S. Schluns. The network helps show where Kimberly S. Schluns may publish in the future.
Co-authorship network of co-authors of Kimberly S. Schluns
This figure shows the co-authorship network connecting the top 25 collaborators of Kimberly S. Schluns. A scholar is included among the top collaborators of Kimberly S. Schluns 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 Kimberly S. Schluns. Kimberly S. Schluns is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 18 | |
| 3 | 10 | |
| 4 | 139 | |
| 5 | 25 | |
| 6 | 4 | |
| 7 | 17 | |
| 8 | 119 | |
| 9 | 13 | |
| 10 | 78 | |
| 11 | 102 | |
| 12 | 79 | |
| 13 | Regulation of inflammatory responses by IL-17Fbreakdown → | 625 |
| 14 | T Helper 17 Lineage Differentiation Is Programmed by Orphan Nuclear Receptors RORα and RORγbreakdown → | 1310 |
| 15 | 47 | |
| 16 | 304 | |
| 17 | 139 | |
| 18 | 103 | |
| 19 | 440 | |
| 20 | 20 |
About Kimberly S. Schluns
Kimberly S. Schluns is a scholar working on Immunology, Virology and Oncology, having authored 59 papers that have together received 10.0k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (41 papers), T-cell and B-cell Immunology (37 papers) and Immunotherapy and Immune Responses (19 papers). The work is most often cited by research in Immunology (8.5k citations), Oncology (2.2k citations) and Virology (295 citations). Kimberly S. Schluns has collaborated with scholars based in United States, Finland and China. Frequent co-authors include Leo Lefrançois, Stephen C. Jameson, Chen Dong, Roza Nurieva, Xuexian O. Yang, William C. Kieper, Anton M. Jetten, Stephanie S. Watowich, Bhavin Shah and Qiang Tian. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.