Jo‐Anne Vergilio

7.2k total citations · 2 hit papers
118 papers, 3.9k citations indexed

About

Jo‐Anne Vergilio is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Jo‐Anne Vergilio has authored 118 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Cancer Research, 39 papers in Pulmonary and Respiratory Medicine and 33 papers in Oncology. Recurrent topics in Jo‐Anne Vergilio's work include Cancer Genomics and Diagnostics (41 papers), Acute Myeloid Leukemia Research (14 papers) and Lymphoma Diagnosis and Treatment (14 papers). Jo‐Anne Vergilio is often cited by papers focused on Cancer Genomics and Diagnostics (41 papers), Acute Myeloid Leukemia Research (14 papers) and Lymphoma Diagnosis and Treatment (14 papers). Jo‐Anne Vergilio collaborates with scholars based in United States, Italy and China. Jo‐Anne Vergilio's co-authors include Kalindi Parmar, Robert Sackstein, Julian D. Down, Peter Mauch, Gayane Badalian‐Very, Barrett J. Rollins, Jeffrey S. Ross, Mark D. Fleming, Julia A. Elvin and Barbara Degar and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Jo‐Anne Vergilio

114 papers receiving 3.9k citations

Hit Papers

align trajectories sort by overperformance

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.

Recurrent BRAF mutations in Langerhans cell histiocytosis

2010 742 citations Gayane Badalian‐Very, Jo‐Anne Vergilio et al. Blood profile →
Distribution of hematopoietic stem cells in the bone marrow according to regional hypoxia

2007 652 citations Jo‐Anne Vergilio et al. profile →

Author Peers

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

Author						Papers	Cites
Jo‐Anne Vergilio	1.1k	1.1k	922	878	711	118	3.9k
Fabio Menestrina	1.3k 1.2×	832 0.8×	1.8k 2.0×	248 0.3×	375 0.5×	112	3.8k
K Aozasa	1.5k 1.3×	541 0.5×	885 1.0×	355 0.4×	368 0.5×	71	2.8k
Kathryn E. Dusenbery	1.1k 0.9×	751 0.7×	203 0.2×	313 0.4×	529 0.7×	126	4.6k
Oluwole Fadare	953 0.8×	1.3k 1.2×	690 0.7×	235 0.3×	746 1.0×	255	4.7k
Ming‐Tseh Lin	1.2k 1.0×	897 0.8×	614 0.7×	84 0.1×	443 0.6×	76	3.3k
Daniel A. Filippa	2.3k 2.0×	608 0.6×	3.6k 3.9×	447 0.5×	462 0.6×	81	5.2k
Susan Mathew	785 0.7×	1.1k 1.1×	787 0.9×	140 0.2×	188 0.3×	100	3.3k
Mary L. McMaster	827 0.7×	756 0.7×	1.3k 1.4×	126 0.1×	808 1.1×	57	4.0k
Véronique Minard‐Colin	874 0.8×	546 0.5×	943 1.0×	113 0.1×	555 0.8×	149	3.5k
Judith Dierlamm	1.3k 1.1×	1.0k 1.0×	1.8k 2.0×	91 0.1×	466 0.7×	111	4.1k

Countries citing papers authored by Jo‐Anne Vergilio

Since Specialization

Citations

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

Fields of papers citing papers by Jo‐Anne Vergilio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jo‐Anne Vergilio. 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 Jo‐Anne Vergilio. The network helps show where Jo‐Anne Vergilio may publish in the future.

Co-authorship network of co-authors of Jo‐Anne Vergilio

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

All Works

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20 of 20 papers shown

Mata, Douglas A., Jessica Lee, Vignesh Shanmugam, et al.. (2024). Liquid biopsy‐based circulating tumour (ct)DNA analysis of a spectrum of myeloid and lymphoid malignancies yields clinically actionable results. Histopathology. 84(7). 1224–1237. 5 indexed citations

Lin, Douglas I., Richard S.P. Huang, Ioannis Ladas, et al.. (2024). Precision needle-punch tumor enrichment from paraffin blocks improves the detection of clinically actionable genomic alterations and biomarkers. Frontiers in Oncology. 14. 1328512–1328512. 1 indexed citations

Janovitz, Tyler, Douglas A. Mata, Meagan Montesion, et al.. (2022). Activating IGF1R hotspot non-frameshift insertions define a novel, potentially targetable molecular subtype of adenoid cystic carcinoma. Modern Pathology. 35(11). 1618–1623. 2 indexed citations

Olszewski, Adam J., Radwa Sharaf, Habibe Kurt, et al.. (2021). CDKN2A Deletions Define an Unfavorable Subgroup within the MYD88/CD79B (MCD) Subtype of Diffuse Large B-Cell Lymphoma (DLBCL) and Are Mutually Exclusive with TP53 mutations. Blood. 138(Supplement 1). 2392–2392.

Lin, Douglas I., Amanda Hemmerich, Claire Edgerly, et al.. (2020). Genomic profiling of BCOR-rearranged uterine sarcomas reveals novel gene fusion partners, frequent CDK4 amplification and CDKN2A loss. Gynecologic Oncology. 157(2). 357–366. 40 indexed citations

Lin, Douglas I., Justin Allen, Jonathan L. Hecht, et al.. (2019). SMARCA4 inactivation defines a subset of undifferentiated uterine sarcomas with rhabdoid and small cell features and germline mutation association. Modern Pathology. 32(11). 1675–1687. 49 indexed citations

Ross, Jeffrey S., Marwan Fakih, Siraj M. Ali, et al.. (2018). Targeting HER2 in colorectal cancer: The landscape of amplification and short variant mutations in ERBB2 and ERBB3. Cancer. 124(7). 1358–1373. 149 indexed citations

Ross, Jeffrey S., Haiying Cheng, Román Pérez-Soler, et al.. (2017). MA04.09 RICTOR Amplification in Non-Small Cell Lung Cancer: An Emerging Therapy Target. Journal of Thoracic Oncology. 12(1). S362–S362. 1 indexed citations

Ross, Jeffrey S., Laurie M. Gay, Jo‐Anne Vergilio, et al.. (2017). Comprehensive genomic profiles of metastatic and relapsed salivary gland carcinomas are associated with tumor type and reveal new routes to targeted therapies. Annals of Oncology. 28(10). 2539–2546. 82 indexed citations

10.

Shah, Ankoor S., et al.. (2013). Orbital Follicular Hyperplasia in Common Variable Immune Deficiency Syndrome. Ophthalmic Plastic and Reconstructive Surgery. 29(6). e160–e162. 2 indexed citations

11.

Sankaran, Vijay G., Roxanne Ghazvinian, Ron Do, et al.. (2012). Exome sequencing identifies GATA1 mutations resulting in Diamond-Blackfan anemia. Journal of Clinical Investigation. 122(7). 2439–2443. 227 indexed citations

12.

Badalian‐Very, Gayane, Jo‐Anne Vergilio, Barbara Degar, et al.. (2010). Recurrent BRAF mutations in Langerhans cell histiocytosis. Blood. 116(11). 1919–1923. 742 indexed citations breakdown →

13.

Soupir, Chad P., et al.. (2008). Identification of del(20q) in a subset of patients diagnosed with idiopathic thrombocytopenic purpura. British Journal of Haematology. 144(5). 800–802. 14 indexed citations

14.

Rodig, Scott J., Jo‐Anne Vergilio, Aliakbar Shahsafaei, & David M. Dorfman. (2008). Characteristic Expression Patterns of TCL1, CD38, and CD44 Identify Aggressive Lymphomas Harboring a MYC Translocation. The American Journal of Surgical Pathology. 32(1). 113–122. 40 indexed citations

15.

Soupir, Chad P., Jo‐Anne Vergilio, Paola Dal Cin, et al.. (2007). Philadelphia Chromosome-Positive Acute Myeloid Leukemia: A Rare Aggressive Leukemia With Clinicopathologic Features Distinct From Chronic Myeloid Leukemia in Myeloid Blast Crisis. American Journal of Clinical Pathology. 127(4). 642–650. 11 indexed citations

16.

Ou, Joyce, Jo‐Anne Vergilio, & Adam Bagg. (2007). Molecular diagnosis and monitoring in the clinical management of patients with chronic myelogenous leukemia treated with tyrosine kinase inhibitors. American Journal of Hematology. 83(4). 296–302. 20 indexed citations

17.

Cherian, Sindhu, Jonni S. Moore, Andrew Bantly, et al.. (2005). Flow‐cytometric analysis of peripheral blood neutrophils: A simple, objective, independent and potentially clinically useful assay to facilitate the diagnosis of myelodysplastic syndromes. American Journal of Hematology. 79(3). 243–245. 12 indexed citations

18.

Elstrom, Rebecca, Donald E. Tsai, Jo‐Anne Vergilio, et al.. (2004). Enhanced Marrow [18F]Fluorodeoxyglucose Uptake Related to Myeloid Hyperplasia in Hodgkin's Lymphoma Can Simulate Lymphoma Involvement in Marrow. Clinical Lymphoma. 5(1). 62–64. 34 indexed citations

19.

Taylor, Robert L., Jo‐Anne Vergilio, Michael B. Shapiro, et al.. (2002). T Cell Receptor γ-Chain Gene Polymerase Chain Reaction to Diagnose Central Nervous System Involvement by Cutaneous T Cell Lymphoma. Journal of Molecular Diagnostics. 4(2). 118–120. 1 indexed citations

20.

Vergilio, Jo‐Anne, Zubair Baloch, & Virginia A. LiVolsi. (2002). Spindle Cell Metaplasia of the Thyroid Arising in Association With Papillary Carcinoma and Follicular Adenoma. American Journal of Clinical Pathology. 117(2). 199–204. 29 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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