Tracy Tabib

6.9k total citations · 5 hit papers
55 papers, 3.8k citations indexed

About

Tracy Tabib is a scholar working on Immunology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Tracy Tabib has authored 55 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Immunology, 22 papers in Molecular Biology and 19 papers in Pathology and Forensic Medicine. Recurrent topics in Tracy Tabib's work include Systemic Sclerosis and Related Diseases (18 papers), IL-33, ST2, and ILC Pathways (14 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (11 papers). Tracy Tabib is often cited by papers focused on Systemic Sclerosis and Related Diseases (18 papers), IL-33, ST2, and ILC Pathways (14 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (11 papers). Tracy Tabib collaborates with scholars based in United States, China and Germany. Tracy Tabib's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Tracy Tabib

52 papers receiving 3.8k citations

Hit Papers

Proliferating SPP1/MERTK-expressing macrophages in idiopa... 2019 2026 2021 2023 2019 2020 2019 2021 2019 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Proliferating SPP1/MERTK-expressing macrophages in idiopathic pulmonary fibrosis
    2019 461 citations Christina Morse, Tracy Tabib et al. profile →
  2. Immune Landscape of Viral- and Carcinogen-Driven Head and Neck Cancer
    2020 452 citations Anthony R. Cillo, Cornelius Kürten et al. Immunity profile →
  3. Adaptive plasticity of IL-10+ and IL-35+ Treg cells cooperatively promotes tumor T cell exhaustion
    2019 388 citations Maria Chikina, Qianxia Zhang et al. Nature Immunology profile →
  4. B cell signatures and tertiary lymphoid structures contribute to outcome in head and neck squamous cell carcinoma
    2021 230 citations Anthony R. Cillo, Tracy Tabib et al. Nature Communications profile →
  5. Single-cell analysis reveals fibroblast heterogeneity and myofibroblasts in systemic sclerosis-associated interstitial lung disease
    2019 218 citations Eleanor Valenzi, Melissa Bulik et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tracy Tabib United States 26 1.7k 1.4k 1.1k 837 574 55 3.8k
Ian Kasman United States 20 2.1k 1.3× 2.5k 1.8× 1.5k 1.4× 331 0.4× 433 0.8× 26 5.3k
Taiying Chen China 12 2.0k 1.2× 602 0.4× 988 0.9× 286 0.3× 454 0.8× 15 3.2k
Dianne Sako United States 21 816 0.5× 1.4k 1.0× 457 0.4× 288 0.3× 508 0.9× 32 3.2k
Samia Mourah France 33 582 0.3× 1.5k 1.1× 1.3k 1.2× 280 0.3× 455 0.8× 162 3.1k
Wojciech Szeliga United States 19 4.0k 2.4× 1.5k 1.0× 3.0k 2.8× 367 0.4× 304 0.5× 26 5.7k
Yasuo Sugita Japan 29 647 0.4× 585 0.4× 1.2k 1.1× 320 0.4× 1.3k 2.2× 171 3.2k
Leona Ling United States 28 2.3k 1.4× 2.2k 1.6× 1.9k 1.8× 360 0.4× 180 0.3× 49 5.2k
Roman Kodet Czechia 31 442 0.3× 1.3k 0.9× 964 0.9× 815 1.0× 653 1.1× 171 3.1k
Tobias Gedde‐Dahl Norway 39 1.2k 0.7× 1.8k 1.3× 770 0.7× 218 0.3× 750 1.3× 225 5.3k
Steven C. Ziesmer United States 35 1.5k 0.9× 580 0.4× 1.2k 1.1× 197 0.2× 1.2k 2.1× 65 3.2k

Countries citing papers authored by Tracy Tabib

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Tracy Tabib

This figure shows the co-authorship network connecting the top 25 collaborators of Tracy Tabib. A scholar is included among the top collaborators of Tracy Tabib 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 Tracy Tabib. Tracy Tabib is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Shehabeldin, Mostafa, Jin Gao, Rong Chong, et al.. (2024). Local Controlled Delivery of IL-4 Decreases Inflammatory Bone Loss in a Murine Model of Periodontal Disease. The Journal of Immunology. 213(11). 1635–1643. 6 indexed citations
3.
Tabib, Tracy, Mengqi Huang, Ke Yuan, et al.. (2024). Molecular Changes Implicate Angiogenesis and Arterial Remodeling in Systemic Sclerosis–Associated and Idiopathic Pulmonary Hypertension. Arteriosclerosis Thrombosis and Vascular Biology. 44(8). e210–e225. 6 indexed citations
4.
Xiao, Hanxi, Tracy Tabib, Kun He, et al.. (2024). SLIDE: Significant Latent Factor Interaction Discovery and Exploration across biological domains. Nature Methods. 21(5). 835–845. 12 indexed citations
5.
Louis, Kévin, Tracy Tabib, Camila Macedo, et al.. (2024). High-dimensional profiling of immune responses to kidney transplant reveals heterogeneous T helper 1 and B cell effectors associated with rejection. American Journal of Transplantation. 25(4). 706–719. 1 indexed citations
6.
Tabib, Tracy, Hanxi Xiao, Dinesh Khanna, et al.. (2023). Cell Type–Specific Biomarkers of Systemic Sclerosis Disease Severity Capture Cell‐Intrinsic and Cell‐Extrinsic Circuits. Arthritis & Rheumatology. 75(10). 1819–1830. 8 indexed citations
7.
Tabib, Tracy, et al.. (2023). Single-Cell Transcriptome Analysis Identifies Subclusters with Inflammatory Fibroblast Responses in Localized Scleroderma. International Journal of Molecular Sciences. 24(12). 9796–9796. 28 indexed citations
8.
Zhu, Honglin, Hui Luo, Brian Skaug, et al.. (2023). Fibroblast Subpopulations in Systemic Sclerosis: Functional Implications of Individual Subpopulations and Correlations with Clinical Features. Journal of Investigative Dermatology. 144(6). 1251–1261.e13. 24 indexed citations
9.
Cruz, Tamara, Nilay Mitash, John Sembrat, et al.. (2023). End-Stage Idiopathic Pulmonary Fibrosis Lung Microenvironment Promotes Impaired NK Activity. The Journal of Immunology. 211(7). 1073–1081. 8 indexed citations
10.
Snyder, Mark E., Kaveh Moghbeli, Andrew Craig, et al.. (2022). Modulation of tissue resident memory T cells by glucocorticoids after acute cellular rejection in lung transplantation. The Journal of Experimental Medicine. 219(4). 25 indexed citations
11.
Grebinoski, Stephanie, Qianxia Zhang, Anthony R. Cillo, et al.. (2022). Autoreactive CD8+ T cells are restrained by an exhaustion-like program that is maintained by LAG3. Nature Immunology. 23(6). 868–877. 70 indexed citations
12.
Chen, Xueer, Lujia Chen, Cornelius Kürten, et al.. (2022). An individualized causal framework for learning intercellular communication networks that define microenvironments of individual tumors. PLoS Computational Biology. 18(12). e1010761–e1010761. 3 indexed citations
13.
Cruz, Tamara, John Sembrat, Tracy Tabib, et al.. (2021). Impaired lung NK activity in the lung of Idiopathic Pulmonary Fibrosis patients. OA4332–OA4332. 1 indexed citations
14.
Tabib, Tracy, Mengqi Huang, Anna Papazoglou, et al.. (2021). Myofibroblast transcriptome indicates SFRP2hi fibroblast progenitors in systemic sclerosis skin. Nature Communications. 12(1). 4384–4384. 151 indexed citations
15.
Tabib, Tracy, Xinjun Wang, Wei Chen, et al.. (2020). Single-cell transcriptome conservation in a comparative analysis of fresh and cryopreserved human skin tissue: pilot in localized scleroderma. Arthritis Research & Therapy. 22(1). 101–101. 31 indexed citations
16.
Saygın, Didem, Tracy Tabib, Humberto E. Trejo Bittar, et al.. (2020). Transcriptional profiling of lung cell populations in idiopathic pulmonary arterial hypertension. Pulmonary Circulation. 10(1). 1–15. 67 indexed citations
17.
Tabib, Tracy, et al.. (2019). Single-Cell Lymphocyte Heterogeneity in Advanced Cutaneous T-cell Lymphoma Skin Tumors. Clinical Cancer Research. 25(14). 4443–4454. 85 indexed citations
18.
Rivadeneira, Dayana B., Kristin DePeaux, Yiyang Wang, et al.. (2019). Oncolytic Viruses Engineered to Enforce Leptin Expression Reprogram Tumor-Infiltrating T Cell Metabolism and Promote Tumor Clearance. Immunity. 51(3). 548–560.e4. 110 indexed citations
19.
Liu, Chang, Maria Chikina, Rahul Deshpande, et al.. (2019). Treg Cells Promote the SREBP1-Dependent Metabolic Fitness of Tumor-Promoting Macrophages via Repression of CD8+ T Cell-Derived Interferon-γ. Immunity. 51(2). 381–397.e6. 266 indexed citations
20.
Tabib, Tracy, Christina Morse, Ting Wang, Wei Chen, & Robert Lafyatis. (2017). SFRP2/DPP4 and FMO1/LSP1 Define Major Fibroblast Populations in Human Skin. Journal of Investigative Dermatology. 138(4). 802–810. 238 indexed citations

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.

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