P. Sean Walsh

2.4k total citations · 1 hit paper
27 papers, 1.2k citations indexed

About

P. Sean Walsh is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, P. Sean Walsh has authored 27 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Endocrinology, Diabetes and Metabolism, 10 papers in Molecular Biology and 10 papers in Pulmonary and Respiratory Medicine. Recurrent topics in P. Sean Walsh's work include Thyroid Cancer Diagnosis and Treatment (12 papers), Lung Cancer Diagnosis and Treatment (8 papers) and Lung Cancer Treatments and Mutations (5 papers). P. Sean Walsh is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (12 papers), Lung Cancer Diagnosis and Treatment (8 papers) and Lung Cancer Treatments and Mutations (5 papers). P. Sean Walsh collaborates with scholars based in United States, Italy and Brazil. P. Sean Walsh's co-authors include Giulia C. Kennedy, Richard T. Kloos, Richard B. Lanman, Jonathan I. Wilde, Lyssa Friedman, Darya Chudova, Juan Rosaí, Virginia A. LiVolsi, Edmund S. Cibas and David L. Steward and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

P. Sean Walsh

26 papers receiving 1.1k 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.

Preoperative Diagnosis of Benign Thyroid Nodules with Indeterminate Cytology

2012 791 citations Erik K. Alexander, Giulia C. Kennedy et al. New England Journal of Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
P. Sean Walsh United States	12	963	455	297	151	132	27	1.2k
Lucia Brilli Italy	14	1.1k 1.1×	492 1.1×	225 0.8×	119 0.8×	91 0.7×	35	1.3k
Aleksandra Kukulska Poland	14	689 0.7×	317 0.7×	129 0.4×	149 1.0×	51 0.4×	33	815
Lyssa Friedman United States	9	1.5k 1.6×	755 1.7×	459 1.5×	193 1.3×	44 0.3×	17	1.7k
Alessandro Prete Italy	14	646 0.7×	142 0.3×	154 0.5×	227 1.5×	100 0.8×	49	881
F Pacini Italy	11	848 0.9×	313 0.7×	155 0.5×	163 1.1×	41 0.3×	14	952
Domenico Meringolo Italy	15	1.4k 1.5×	867 1.9×	192 0.6×	144 1.0×	29 0.2×	22	1.5k
Suk Kyeong Kim South Korea	13	663 0.7×	240 0.5×	122 0.4×	176 1.2×	33 0.3×	22	769
Helina Somervell United States	14	360 0.4×	308 0.7×	91 0.3×	162 1.1×	82 0.6×	20	718
Teresa Montesano Italy	15	853 0.9×	450 1.0×	126 0.4×	68 0.5×	35 0.3×	38	975
Gyungyup Gong South Korea	15	466 0.5×	327 0.7×	66 0.2×	190 1.3×	39 0.3×	23	690

Countries citing papers authored by P. Sean Walsh

Since Specialization

Citations

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

Fields of papers citing papers by P. Sean Walsh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. Sean Walsh. 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 P. Sean Walsh. The network helps show where P. Sean Walsh may publish in the future.

Co-authorship network of co-authors of P. Sean Walsh

This figure shows the co-authorship network connecting the top 25 collaborators of P. Sean Walsh. A scholar is included among the top collaborators of P. Sean Walsh 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 P. Sean Walsh. P. Sean Walsh 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

Armstrong, Ellie E., Sarah B. Carey, Alex Harkess, et al.. (2025). Parameterizing Pantherinae: De Novo Mutation Rate Estimates from Panthera and Neofelis Pedigrees. Genome Biology and Evolution. 17(4). 1 indexed citations

Iyer, Priyanka, Ramona Dadu, Cleslei Fernando Zanelli, et al.. (2024). Analytical Validation of a Telomerase Reverse Transcriptase (TERT) Promoter Mutation Assay. The Journal of Clinical Endocrinology & Metabolism. 109(9). 2269–2273. 3 indexed citations

Lamb, Carla, Kimberly Rieger‐Christ, Chakravarthy Reddy, et al.. (2023). A Nasal Swab Classifier to Evaluate the Probability of Lung Cancer in Patients With Pulmonary Nodules. CHEST Journal. 165(4). 1009–1019. 3 indexed citations

Ladenson, Paul W., Joshua Klopper, Yangyang Hao, et al.. (2023). Combined Afirma Genomic Sequencing Classifier and TERT promoter mutation detection in molecular assessment of Bethesda III–VI thyroid nodules. Cancer Cytopathology. 131(10). 609–613. 2 indexed citations

Mazzone, Peter J., Momen M. Wahidi, Michael Bernstein, et al.. (2022). Clinical validation and utility of Percepta GSC for the evaluation of lung cancer. PLoS ONE. 17(7). e0268567–e0268567. 6 indexed citations

Walsh, P. Sean, Yangyang Hao, Jianghan Qu, et al.. (2022). Maximizing Small Biopsy Patient Samples: Unified RNA-Seq Platform Assessment of over 120,000 Patient Biopsies. Journal of Personalized Medicine. 13(1). 24–24. 4 indexed citations

Lamb, Carla, Kimberly Rieger‐Christ, Chakravarthy Reddy, et al.. (2021). A NASAL CLINICAL-GENOMIC CLASSIFIER FOR ASSESSING RISK OF MALIGNANCY IN LUNG NODULES DEMONSTRATES ACCURATE PERFORMANCE INDEPENDENT OF NODULE SIZE OR CANCER STAGE. CHEST Journal. 160(4). A2518–A2519. 2 indexed citations

Johnson, Marla, Daniel G. Pankratz, Grazyna Fedorowicz, et al.. (2021). Analytical validation of the Percepta genomic sequencing classifier; an RNA next generation sequencing assay for the assessment of Lung Cancer risk of suspicious pulmonary nodules. BMC Cancer. 21(1). 400–400. 5 indexed citations

Choi, Yoonha, Jianghan Qu, Yangyang Hao, et al.. (2020). Improving lung cancer risk stratification leveraging whole transcriptome RNA sequencing and machine learning across multiple cohorts. BMC Medical Genomics. 13(S10). 151–151. 17 indexed citations

10.

Wirth, Lori J., Steven G. Waguespack, Naifa L. Busaidy, et al.. (2019). Genomic landscape of FNAs positive for medullary thyroid cancer (MTC) and potential impact on systemic therapy.. Journal of Clinical Oncology. 37(15_suppl). 6087–6087. 2 indexed citations

11.

Angell, Trevor E., Lori J. Wirth, Maria E. Cabanillas, et al.. (2019). Analytical and Clinical Validation of Expressed Variants and Fusions From the Whole Transcriptome of Thyroid FNA Samples. Frontiers in Endocrinology. 10. 612–612. 39 indexed citations

12.

Hao, Yangyang, Yoonha Choi, Joshua Babiarz, et al.. (2019). Analytical Verification Performance of Afirma Genomic Sequencing Classifier in the Diagnosis of Cytologically Indeterminate Thyroid Nodules. Frontiers in Endocrinology. 10. 438–438. 17 indexed citations

13.

Hao, Yangyang, Quan‐Yang Duh, Richard T. Kloos, et al.. (2019). Identification of Hürthle cell cancers: solving a clinical challenge with genomic sequencing and a trio of machine learning algorithms. BMC Systems Biology. 13(S2). 27–27. 23 indexed citations

14.

Choi, Yoonha, Daniel G. Pankratz, Thomas V. Colby, et al.. (2018). Identification of usual interstitial pneumonia pattern using RNA-Seq and machine learning: challenges and solutions. BMC Genomics. 19(S2). 101–101. 15 indexed citations

15.

Pankratz, Daniel G., Yoonha Choi, Grazyna Fedorowicz, et al.. (2017). Usual Interstitial Pneumonia Can Be Detected in Transbronchial Biopsies Using Machine Learning. Annals of the American Thoracic Society. 14(11). 1646–1654. 53 indexed citations

16.

Choi, Yoonha, Jiayi Lu, Zhanzhi Hu, et al.. (2017). Analytical performance of Envisia: a genomic classifier for usual interstitial pneumonia. BMC Pulmonary Medicine. 17(1). 141–141. 19 indexed citations

17.

Pagan, Moraima, Richard T. Kloos, Kevin Travers, et al.. (2016). The diagnostic application of RNA sequencing in patients with thyroid cancer: an analysis of 851 variants and 133 fusions in 524 genes. BMC Bioinformatics. 17(S1). 6–6. 27 indexed citations

18.

Hu, Zhanzhi, Duncan Whitney, Manqiu Cao, et al.. (2016). Analytical performance of a bronchial genomic classifier. BMC Cancer. 16(1). 161–161. 7 indexed citations

19.

Kloos, Richard T., Jessica Reynolds, P. Sean Walsh, et al.. (2013). Does Addition ofBRAFV600E Mutation Testing Modify Sensitivity or Specificity of the Afirma Gene Expression Classifier in Cytologically Indeterminate Thyroid Nodules?. The Journal of Clinical Endocrinology & Metabolism. 98(4). E761–E768. 51 indexed citations

20.

Alexander, Erik K., Giulia C. Kennedy, Zubair Baloch, et al.. (2012). Preoperative Diagnosis of Benign Thyroid Nodules with Indeterminate Cytology. New England Journal of Medicine. 367(8). 705–715. 791 indexed citations breakdown →

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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