Laura T. Donlin
- Immunology top 1%
- T-cell and B-cell Immunology 10
- Immune Cell Function and Interaction 7
- Immune cells in cancer 6
- Rheumatology top 1%
- Rheumatoid Arthritis Research and Therapies 14
- Systemic Lupus Erythematosus Research 8
- Musculoskeletal synovial abnormalities and treatments 5
- Infectious Diseases top 5%
- Oncology top 5%
- Cytokine Signaling Pathways and Interactions 6
- Cancer Research top 10%
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- Orthopedic Infections and Treatments 7
- Co-authors
- Lionel B. IvashkivSusan M. GoodmanVivian P. BykerkSoumya RaychaudhuriCristina RozoSara ShanajFan ZhangDana E. Orange
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Clinical Investigation (1 paper)Nature Communications (2 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Laura T. Donlin
38 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Immunology 1.9k
- Rheumatology 629
- Infectious Diseases 545
- Oncology 673
- Cancer Research 308
Countries citing papers authored by Laura T. Donlin
This map shows the geographic impact of Laura T. Donlin'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 Laura T. Donlin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura T. Donlin more than expected).
Fields of papers citing papers by Laura T. Donlin
This network shows the impact of papers produced by Laura T. Donlin. 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 Laura T. Donlin. The network helps show where Laura T. Donlin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Laura T. Donlin, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 54 | |
| 7 | Drivers of heterogeneity in synovial fibroblasts in rheumatoid arthritisbreakdown → | 2023 | 86 |
| 8 | 2023 | 10 | |
| 9 | 2022 | 23 | |
| 10 | 2021 | 5 | |
| 11 | 2020 | 4 | |
| 12 | 2019 | 20 | |
| 13 | 2019 | 23 | |
| 14 | 2019 | 173 | |
| 15 | 2019 | 7 | |
| 16 | 2018 | 99 | |
| 17 | 2018 | 240 | |
| 18 | 2018 | 33 | |
| 19 | Regulation of type I interferon responsesbreakdown → | 2013 | 2330 |
| 20 | 2002 | 10 |
About Laura T. Donlin
Laura T. Donlin is a scholar working on Rheumatology, Immunology and Oncology, having authored 44 papers that have together received 3.8k indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (14 papers), T-cell and B-cell Immunology (10 papers), Systemic Lupus Erythematosus Research (8 papers), Orthopedic Infections and Treatments (7 papers), Immune Cell Function and Interaction (7 papers), Immune cells in cancer (6 papers), Cytokine Signaling Pathways and Interactions (6 papers) and Musculoskeletal synovial abnormalities and treatments (5 papers). The work is most often cited by research in Immunology (1.9k citations), Rheumatology (629 citations) and Infectious Diseases (545 citations). Laura T. Donlin has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Lionel B. Ivashkiv, Susan M. Goodman, Vivian P. Bykerk, Soumya Raychaudhuri, Cristina Rozo, Sara Shanaj, Fan Zhang, Dana E. Orange, Edward F. DiCarlo and Ilya Korsunsky. 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.