Julia Tait Lathrop
- Spectroscopy top 5%
- Advanced Proteomics Techniques and Applications 4
- Hematology top 10%
- Hematopoietic Stem Cell Transplantation 2
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- Prion Diseases and Protein Misfolding 3
- Protein purification and stability 3
- Advanced Biosensing Techniques and Applications 2
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- Monoclonal and Polyclonal Antibodies Research 5
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- Acute Lymphoblastic Leukemia research 2
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- Infectious Encephalopathies and Encephalitis 2
- Co-authors
- Michael P. TimkoDavid J. HammondLiliana GheorghiuShanhua LinLee LomasVanitha ThulasiramanEgisto BoschettiSteven J. Burton
- Partner nations
- United StatesCanadaThailand
In The Last Decade
Julia Tait Lathrop
17 papers receiving 884 citations
Peers
Comparison fields: 5 of 85
- Spectroscopy 166
- Hematology 112
- Molecular Biology 636
- Cell Biology 107
- Transplantation 14
Countries citing papers authored by Julia Tait Lathrop
This map shows the geographic impact of Julia Tait Lathrop'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 Tait Lathrop with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia Tait Lathrop more than expected).
Fields of papers citing papers by Julia Tait Lathrop
This network shows the impact of papers produced by Julia Tait Lathrop. 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 Tait Lathrop. The network helps show where Julia Tait Lathrop may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Julia Tait Lathrop, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 6 | |
| 2 | 2017 | 36 | |
| 3 | 2016 | 20 | |
| 4 | National Institutes of Health Consensus Development Project on Criteria for Clinical Trials in Chronic Graft-Versus-Host Disease: III. The 2014 Biomarker Working Group Report | 2015 | 1 |
| 5 | 2015 | 29 | |
| 6 | 2015 | 98 | |
| 7 | 2007 | 6 | |
| 8 | 2007 | 2 | |
| 9 | 2006 | 18 | |
| 10 | 2006 | 55 | |
| 11 | 2006 | 72 | |
| 12 | 2006 | 1 | |
| 13 | 2005 | 184 | |
| 14 | 2005 | 14 | |
| 15 | 1998 | 102 | |
| 16 | 1995 | 21 | |
| 17 | 1993 | 245 |
About Julia Tait Lathrop
Julia Tait Lathrop is a scholar working on Spectroscopy, Radiology, Nuclear Medicine and Imaging and Virology, having authored 17 papers that have together received 910 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (5 papers), Advanced Proteomics Techniques and Applications (4 papers), Prion Diseases and Protein Misfolding (3 papers), Protein purification and stability (3 papers), Advanced Biosensing Techniques and Applications (2 papers), Acute Lymphoblastic Leukemia research (2 papers), Infectious Encephalopathies and Encephalitis (2 papers) and Hematopoietic Stem Cell Transplantation (2 papers). The work is most often cited by research in Spectroscopy (166 citations), Hematology (112 citations) and Molecular Biology (636 citations). Julia Tait Lathrop has collaborated with scholars based in United States, Canada and Thailand. Frequent co-authors include Michael P. Timko, David J. Hammond, Liliana Gheorghiu, Shanhua Lin, Lee Lomas, Vanitha Thulasiraman, Egisto Boschetti, Steven J. Burton, Luisa Gregori and Wilson H. Burgess. Their work appears in journals such as Analytical Biochemistry, Electrophoresis, Transfusion, Journal of Bacteriology and Transfusion Medicine.
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.