Tracy Tabib
- Immunology top 1%
- IL-33, ST2, and ILC Pathways 14
- Immune Cell Function and Interaction 7
- T-cell and B-cell Immunology 6
- Immune cells in cancer 5
- Oncology top 2%
- CAR-T cell therapy research 5
- Dermatology top 1%
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- Systemic Sclerosis and Related Diseases 18
- Cancer Research top 5%
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- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 11
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- Single-cell and spatial transcriptomics 6
- Co-authors
- Robert LafyatisWei ChenChristina MorseJohn SembratEleanor ValenziDario A.A. VignaliHumberto E. Trejo BittarMauricio Rojas
- Cited by
- ImmunologyOncologyDermatology
- Journals
- The Journal of Immunology (4 papers)Annals of the Rheumatic Diseases (4 papers)Nature Communications (3 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Tracy Tabib
52 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Immunology 1.7k
- Oncology 1.1k
- Dermatology 323
- Pathology and Forensic Medicine 574
- Cancer Research 436
Countries citing papers authored by Tracy Tabib
This map shows the geographic impact of Tracy Tabib'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 Tracy Tabib with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tracy Tabib more than expected).
Fields of papers citing papers by Tracy Tabib
This network shows the impact of papers produced by Tracy Tabib. 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 Tracy Tabib. The network helps show where Tracy Tabib may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tracy Tabib, 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 | 2024 | 6 | |
| 3 | 2024 | 12 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 6 | |
| 6 | 2023 | 24 | |
| 7 | 2023 | 8 | |
| 8 | 2023 | 8 | |
| 9 | 2022 | 70 | |
| 10 | 2022 | 3 | |
| 11 | 2022 | 25 | |
| 12 | 2022 | 42 | |
| 13 | 2021 | 12 | |
| 14 | 2021 | 52 | |
| 15 | 2020 | 31 | |
| 16 | 2020 | 67 | |
| 17 | 2019 | 85 | |
| 18 | 2019 | 110 | |
| 19 | 2019 | 46 | |
| 20 | 2017 | 238 |
About Tracy Tabib
Tracy Tabib is a scholar working on Immunology, Pathology and Forensic Medicine and Dermatology, having authored 55 papers that have together received 3.8k indexed citations. Recurring topics across this work include Systemic Sclerosis and Related Diseases (18 papers), IL-33, ST2, and ILC Pathways (14 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (11 papers), Immune Cell Function and Interaction (7 papers), Single-cell and spatial transcriptomics (6 papers), T-cell and B-cell Immunology (6 papers), CAR-T cell therapy research (5 papers) and Immune cells in cancer (5 papers). The work is most often cited by research in Immunology (1.7k citations), Oncology (1.1k citations) and Dermatology (323 citations). Tracy Tabib has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Robert Lafyatis, Wei Chen, Christina Morse, John Sembrat, Eleanor Valenzi, Dario A.A. Vignali, Humberto E. Trejo Bittar, Mauricio Rojas, Tullia C. Bruno and Ting Wang. Their work appears in journals such as The Journal of Immunology, Annals of the Rheumatic Diseases, Nature Communications, Immunity and Frontiers in 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.