Julia Klesney‐Tait
- Immunology top 5%
- Pulmonary and Respiratory Medicine top 10%
- Epidemiology top 10%
- Molecular Biology
- Surgery top 10%
- Co-authors
- Marco ColonnaIsaiah R. TurnbullJustin D. RadolfSheryl R. LumbleyJo L. LatimerJoseph ZabnerEric J. HansenE J Hansen
- Topics
- Transplantation: Methods and Outcomes (12 papers)Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (8 papers)Inflammation biomarkers and pathways (8 papers)
- Cited by
- ImmunologyMicrobiologyNeurology
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationNature Communications
- Partner nations
- United StatesItalyGermany
In The Last Decade
Julia Klesney‐Tait
42 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 126
- Immunology 767
- Pulmonary and Respiratory Medicine 383
- Epidemiology 378
- Molecular Biology 340
- Surgery 326
Countries citing papers authored by Julia Klesney‐Tait
This map shows the geographic impact of Julia Klesney‐Tait'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 Julia Klesney‐Tait with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia Klesney‐Tait more than expected).
Fields of papers citing papers by Julia Klesney‐Tait
This network shows the impact of papers produced by Julia Klesney‐Tait. 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 Julia Klesney‐Tait. The network helps show where Julia Klesney‐Tait may publish in the future.
Co-authorship network of co-authors of Julia Klesney‐Tait
This figure shows the co-authorship network connecting the top 25 collaborators of Julia Klesney‐Tait. A scholar is included among the top collaborators of Julia Klesney‐Tait 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 Julia Klesney‐Tait. Julia Klesney‐Tait is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 134 | |
| 4 | 17 | |
| 5 | 32 | |
| 6 | 9 | |
| 7 | 2 | |
| 8 | 23 | |
| 9 | 24 | |
| 10 | 29 | |
| 11 | 79 | |
| 12 | 29 | |
| 13 | 11 | |
| 14 | 60 | |
| 15 | 61 | |
| 16 | 98 | |
| 17 | 3 | |
| 18 | 43 | |
| 19 | 477 | |
| 20 | 31 |
About Julia Klesney‐Tait
Julia Klesney‐Tait is a scholar working on Immunology, Pulmonary and Respiratory Medicine and Transplantation, having authored 44 papers that have together received 2.2k indexed citations. Recurring topics across this work include Transplantation: Methods and Outcomes (12 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (8 papers) and Inflammation biomarkers and pathways (8 papers). The work is most often cited by research in Immunology (767 citations), Microbiology (213 citations) and Neurology (162 citations). Julia Klesney‐Tait has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Marco Colonna, Isaiah R. Turnbull, Justin D. Radolf, Sheryl R. Lumbley, Jo L. Latimer, Joseph Zabner, Eric J. Hansen, E J Hansen, Marla K. Stevens and Kalpaj R. Parekh. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.
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.