Lauren Shea

2.3k total citations · 1 hit paper
23 papers, 1.5k citations indexed

About

Lauren Shea is a scholar working on Pathology and Forensic Medicine, Oncology and Epidemiology. According to data from OpenAlex, Lauren Shea has authored 23 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pathology and Forensic Medicine, 6 papers in Oncology and 6 papers in Epidemiology. Recurrent topics in Lauren Shea's work include Lymphoma Diagnosis and Treatment (11 papers), Lysosomal Storage Disorders Research (5 papers) and Chronic Lymphocytic Leukemia Research (4 papers). Lauren Shea is often cited by papers focused on Lymphoma Diagnosis and Treatment (11 papers), Lysosomal Storage Disorders Research (5 papers) and Chronic Lymphocytic Leukemia Research (4 papers). Lauren Shea collaborates with scholars based in United States, Australia and China. Lauren Shea's co-authors include Paul H. Plötz, Matthew D. Vesely, Vincent Magrini, Daniel C. Koboldt, Charles G. Rickert, Robert D. Schreiber, James P. Allison, Mark J. Smyth, Michael C. Wendl and J. Michael White and has published in prestigious journals such as Nature, Journal of Neuroscience and Blood.

In The Last Decade

Lauren Shea

19 papers receiving 1.5k citations

Hit Papers

Cancer exome analysis rev... 2012 2026 2016 2021 2012 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Lauren Shea 748 686 489 299 283 23 1.5k
Armin Rehm 443 0.6× 615 0.9× 503 1.0× 164 0.5× 152 0.5× 52 1.3k
Ombretta Salvucci 842 1.1× 793 1.2× 919 1.9× 115 0.4× 105 0.4× 37 2.2k
Megan K. Ruhland 571 0.8× 764 1.1× 463 0.9× 71 0.2× 309 1.1× 10 1.3k
Ferenc Livák 750 1.0× 1.3k 1.9× 1.4k 2.8× 208 0.7× 117 0.4× 49 2.7k
Alison Farley 914 1.2× 786 1.1× 740 1.5× 82 0.3× 69 0.2× 21 1.9k
Marika Karikoski 373 0.5× 491 0.7× 422 0.9× 124 0.4× 79 0.3× 23 1.2k
Sunish Mohanan 481 0.6× 305 0.4× 490 1.0× 88 0.3× 103 0.4× 24 1.3k
Lisa S. Westerberg 303 0.4× 839 1.2× 441 0.9× 105 0.4× 122 0.4× 69 1.6k
Nadine Varin‐Blank 349 0.5× 898 1.3× 947 1.9× 72 0.2× 180 0.6× 65 2.0k
Hiroyasu Nagahama 697 0.9× 236 0.3× 1.0k 2.1× 225 0.8× 66 0.2× 30 1.8k

Countries citing papers authored by Lauren Shea

Since Specialization
Citations

This map shows the geographic impact of Lauren Shea'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 Lauren Shea with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lauren Shea more than expected).

Fields of papers citing papers by Lauren Shea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lauren Shea. 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 Lauren Shea. The network helps show where Lauren Shea may publish in the future.

Co-authorship network of co-authors of Lauren Shea

This figure shows the co-authorship network connecting the top 25 collaborators of Lauren Shea. A scholar is included among the top collaborators of Lauren Shea 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 Lauren Shea. Lauren Shea 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
2.
Ruan, Gordon, Xi Yang, Diana Morlote, et al.. (2024). High Prevalence of Concomitant Autoimmunity in Patients with Rosai-Dorfman Disease. Blood. 144(Supplement 1). 3910–3910.
3.
Narkhede, Mayur, Antonio Di Stasi, Lauren Shea, et al.. (2024). Phase 2 Trial of Siltuximab for the Treatment of Cytokine Release Syndrome and Immune Effector Cell Associated Neurotoxicity Related to CAR-T Cell Therapy. Blood. 144(Supplement 1). 3449–3449. 2 indexed citations
4.
Wan, Fei, Marcus P. Watkins, Lauren Shea, et al.. (2024). Prognostic Significance of Clinical Characteristics and Baseline PET-CT Metabolic Parameters in Patients with Marginal Zone Lymphoma. Blood. 144(Supplement 1). 6334–6334.
5.
Shea, Lauren & Neha Mehta–Shah. (2023). Peripheral T-cell lymphoma: are all patients high risk?. Blood. 144(25). 2604–2612. 1 indexed citations
6.
Shea, Lauren, Leigh A. Compton, Sai Mukund Ramakrishnan, et al.. (2022). Combined Kdm6a and Trp53 Deficiency Drives the Development of Squamous Cell Skin Cancer in Mice. Journal of Investigative Dermatology. 143(2). 232–241.e6. 6 indexed citations
8.
Epperla, Narendranath, Rui Li, Pallawi Torka, et al.. (2022). Early Relapse within 24 Months after Frontline Systemic Therapy (POD24) Is Associated with Worse Survival in Patients with Marginal Zone Lymphoma: A US Multisite Study. Blood. 140(Supplement 1). 1926–1928. 2 indexed citations
9.
Li, Yedda, Christopher A. Miller, Lauren Shea, et al.. (2020). Enhanced Efficacy and Increased Long-Term Toxicity of CNS-Directed, AAV-Based Combination Therapy for Krabbe Disease. Molecular Therapy. 29(2). 691–701. 33 indexed citations
10.
Shea, Lauren & Neha Mehta–Shah. (2020). Brentuximab Vedotin in the Treatment of Peripheral T Cell Lymphoma and Cutaneous T Cell Lymphoma. Current Hematologic Malignancy Reports. 15(1). 9–19. 24 indexed citations
11.
Shea, Lauren, Kazuhito Honjo, David T. Redden, et al.. (2019). Fc receptor-like 2 (FCRL2) is a novel marker of low-risk CLL and refines prognostication based on IGHV mutation status. Blood Cancer Journal. 9(6). 47–47. 9 indexed citations
12.
Shea, Lauren & Geoffrey L. Uy. (2019). Choosing induction chemotherapy in therapy-related acute myeloid leukemia. Best Practice & Research Clinical Haematology. 32(1). 89–97. 2 indexed citations
13.
Shea, Lauren, Yan Zhao, Vishnu Reddy, Talene A. Yacoubian, & Amitkumar Mehta. (2018). Primary Bone Marrow Diffuse Large B-cell Lymphoma Presenting as Transverse Myelitis. The American Journal of the Medical Sciences. 356(6). 561–566. 2 indexed citations
14.
Shea, Lauren, Fady M. Mikhail, Andres Forero‐Torres, & Randall S. Davis. (2017). Concomitant imatinib and ibrutinib in a patient with chronic myelogenous leukemia and chronic lymphocytic leukemia. Clinical Case Reports. 5(6). 899–901. 6 indexed citations
15.
Shea, Lauren, Xuntian Jiang, Daniel A. Hunter, et al.. (2015). Mechanism-Based Combination Treatment Dramatically Increases Therapeutic Efficacy in Murine Globoid Cell Leukodystrophy. Journal of Neuroscience. 35(16). 6495–6505. 74 indexed citations
16.
Matsushita, Hirokazu, Matthew D. Vesely, Daniel C. Koboldt, et al.. (2012). Cancer exome analysis reveals a T-cell-dependent mechanism of cancer immunoediting. Nature. 482(7385). 400–404. 932 indexed citations breakdown →
17.
Rauch, Daniel A., Michelle A. Hurchla, John C. S. Harding, et al.. (2010). The ARF Tumor Suppressor Regulates Bone Remodeling and Osteosarcoma Development in Mice. PLoS ONE. 5(12). e15755–e15755. 18 indexed citations
18.
Shea, Lauren & Nina Raben. (2009). Autophagy in skeletal muscle: implications for Pompe disease. International Journal of Clinical Pharmacology and Therapeutics. 47 Suppl 1. S42–7. 56 indexed citations
19.
Raben, Nina, Lauren Shea, Victoria Hill, & Paul H. Plötz. (2009). Chapter 21 Monitoring Autophagy in Lysosomal Storage Disorders. Methods in enzymology on CD-ROM/Methods in enzymology. 453. 417–449. 76 indexed citations
20.
Raben, Nina, Vanessa J. Hill, Lauren Shea, et al.. (2008). Suppression of autophagy in skeletal muscle uncovers the accumulation of ubiquitinated proteins and their potential role in muscle damage in Pompe disease. Human Molecular Genetics. 17(24). 3897–3908. 262 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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