Pathricia V. Tilstam
- Immunology top 10%
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Oncology
- Cardiology and Cardiovascular Medicine
- Co-authors
- Richard BucalaEdward DohertyLin LengJürgen BernhagenLawrence H. YoungDake QiHeidi NoelsChristian Weber
- Topics
- Macrophage Migration Inhibitory Factor (11 papers)Nuclear Receptors and Signaling (5 papers)Cell Adhesion Molecules Research (3 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe Journal of Immunology
- Partner nations
- United StatesGermanyNetherlands
In The Last Decade
Pathricia V. Tilstam
19 papers receiving 560 citations
Peers
Comparison fields: 5 of 73
- Immunology 396
- Molecular Biology 138
- Cellular and Molecular Neuroscience 129
- Oncology 59
- Cardiology and Cardiovascular Medicine 48
Countries citing papers authored by Pathricia V. Tilstam
This map shows the geographic impact of Pathricia V. Tilstam'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 Pathricia V. Tilstam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pathricia V. Tilstam more than expected).
Fields of papers citing papers by Pathricia V. Tilstam
This network shows the impact of papers produced by Pathricia V. Tilstam. 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 Pathricia V. Tilstam. The network helps show where Pathricia V. Tilstam may publish in the future.
Co-authorship network of co-authors of Pathricia V. Tilstam
This figure shows the co-authorship network connecting the top 25 collaborators of Pathricia V. Tilstam. A scholar is included among the top collaborators of Pathricia V. Tilstam 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 Pathricia V. Tilstam. Pathricia V. Tilstam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | 13 | |
| 3 | 3 | |
| 4 | 109 | |
| 5 | 1 | |
| 6 | 29 | |
| 7 | 1 | |
| 8 | 7 | |
| 9 | 22 | |
| 10 | 28 | |
| 11 | 12 | |
| 12 | 61 | |
| 13 | 23 | |
| 14 | 61 | |
| 15 | 32 | |
| 16 | 12 | |
| 17 | 47 | |
| 18 | 51 | |
| 19 | 23 |
About Pathricia V. Tilstam
Pathricia V. Tilstam is a scholar working on Immunology, Immunology and Allergy and Cellular and Molecular Neuroscience, having authored 19 papers that have together received 563 indexed citations. Recurring topics across this work include Macrophage Migration Inhibitory Factor (11 papers), Nuclear Receptors and Signaling (5 papers) and Cell Adhesion Molecules Research (3 papers). The work is most often cited by research in Immunology (396 citations), Cellular and Molecular Neuroscience (129 citations) and Immunology and Allergy (25 citations). Pathricia V. Tilstam has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Richard Bucala, Edward Doherty, Lin Leng, Jürgen Bernhagen, Lawrence H. Young, Dake Qi, Heidi Noels, Christian Weber, Maor Sauler and Wendy Theelen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Immunology.
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.