Jeanette T. Pingel
- Immunology top 0.5%
- Molecular Biology top 10%
- Epidemiology top 5%
- Oncology top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Matthew L. ThomasWayne M. YokoyamaAnthony R. FrenchSung‐Jin KimHamish R.C. SmithM L ThomasDiana L. BeckmanBrigitte G. Dorner
- Topics
- Immune Cell Function and Interaction (19 papers)T-cell and B-cell Immunology (18 papers)Cytomegalovirus and herpesvirus research (8 papers)
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
Jeanette T. Pingel
28 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Immunology 2.8k
- Molecular Biology 951
- Epidemiology 710
- Oncology 450
- Radiology, Nuclear Medicine and Imaging 155
Countries citing papers authored by Jeanette T. Pingel
This map shows the geographic impact of Jeanette T. Pingel'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 Jeanette T. Pingel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeanette T. Pingel more than expected).
Fields of papers citing papers by Jeanette T. Pingel
This network shows the impact of papers produced by Jeanette T. Pingel. 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 Jeanette T. Pingel. The network helps show where Jeanette T. Pingel may publish in the future.
Co-authorship network of co-authors of Jeanette T. Pingel
This figure shows the co-authorship network connecting the top 25 collaborators of Jeanette T. Pingel. A scholar is included among the top collaborators of Jeanette T. Pingel 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 Jeanette T. Pingel. Jeanette T. Pingel 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 | 6 | |
| 3 | 24 | |
| 4 | 20 | |
| 5 | 46 | |
| 6 | 7 | |
| 7 | 15 | |
| 8 | 44 | |
| 9 | 126 | |
| 10 | 16 | |
| 11 | 96 | |
| 12 | TLR9-Dependent Recognition of MCMV by IPC and DC Generates Coordinated Cytokine Responses that Activate Antiviral NK Cell Functionbreakdown → | 568 |
| 13 | 107 | |
| 14 | Recognition of a virus-encoded ligand by a natural killer cell activation receptorbreakdown → | 615 |
| 15 | 227 | |
| 16 | 18 | |
| 17 | 16 | |
| 18 | 183 | |
| 19 | 98 | |
| 20 | 454 |
About Jeanette T. Pingel
Jeanette T. Pingel is a scholar working on Immunology, Epidemiology and Immunology and Allergy, having authored 28 papers that have together received 3.2k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (19 papers), T-cell and B-cell Immunology (18 papers) and Cytomegalovirus and herpesvirus research (8 papers). The work is most often cited by research in Immunology (2.8k citations), Epidemiology (710 citations) and Immunology and Allergy (123 citations). Jeanette T. Pingel has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Matthew L. Thomas, Wayne M. Yokoyama, Anthony R. French, Sung‐Jin Kim, Hamish R.C. Smith, M L Thomas, Diana L. Beckman, Brigitte G. Dorner, Anne Krug and Marco Colonna. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.