Wendy Hayes

4.4k total citations · 1 hit paper
54 papers, 2.6k citations indexed

About

Wendy Hayes is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Wendy Hayes has authored 54 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Radiology, Nuclear Medicine and Imaging, 19 papers in Pulmonary and Respiratory Medicine and 17 papers in Oncology. Recurrent topics in Wendy Hayes's work include Radiomics and Machine Learning in Medical Imaging (19 papers), Medical Imaging Techniques and Applications (18 papers) and Lung Cancer Treatments and Mutations (11 papers). Wendy Hayes is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (19 papers), Medical Imaging Techniques and Applications (18 papers) and Lung Cancer Treatments and Mutations (11 papers). Wendy Hayes collaborates with scholars based in United States, Netherlands and Germany. Wendy Hayes's co-authors include Otto S. Hoekstra, Lawrence H. Schwartz, Janet Dancey, Lesley Seymour, Sumithra J. Mandrekar, F. Stephen Hodi, Patrick Therasse, Jan Bogaerts, Lalitha Shankar and Stephen J. Gwyther and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer.

In The Last Decade

Wendy Hayes

53 papers receiving 2.5k citations

Hit Papers

align trajectories

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.

RECIST 1.1—Update and clarification: From the RECIST committee

2016 1.2k citations Lawrence H. Schwartz, Saskia Litière et al. European Journal of Cancer profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wendy Hayes United States	19	1.1k	1.0k	878	414	311	54	2.6k
Erich P. Huang United States	16	974 0.9×	978 0.9×	1.7k 1.9×	400 1.0×	296 1.0×	38	3.1k
Jeffrey Meyer United States	23	621 0.6×	790 0.8×	557 0.6×	573 1.4×	249 0.8×	125	2.3k
Martin Allen-Auerbach United States	31	898 0.8×	1.5k 1.4×	1.7k 1.9×	568 1.4×	204 0.7×	78	3.5k
Kaitlin M. Woo United States	29	1.3k 1.2×	1.2k 1.2×	415 0.5×	302 0.7×	404 1.3×	66	2.7k
Ashwatha Narayana United States	29	808 0.7×	1.3k 1.3×	484 0.6×	592 1.4×	485 1.6×	64	3.0k
Anthony Brade Canada	31	699 0.6×	1.3k 1.3×	699 0.8×	370 0.9×	492 1.6×	105	2.8k
T.A. DeWees United States	35	808 0.7×	1.7k 1.6×	1.1k 1.3×	826 2.0×	403 1.3×	174	3.9k
Birgit Guldhammer Skov Denmark	28	1.4k 1.3×	2.1k 2.0×	587 0.7×	396 1.0×	315 1.0×	68	3.0k
Robert Ford United States	12	2.2k 1.9×	1.4k 1.4×	926 1.1×	621 1.5×	347 1.1×	20	3.7k
Quan‐Yong Luo China	28	707 0.6×	432 0.4×	696 0.8×	572 1.4×	433 1.4×	122	2.4k

Countries citing papers authored by Wendy Hayes

Since Specialization

Citations

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

Fields of papers citing papers by Wendy Hayes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wendy Hayes

This figure shows the co-authorship network connecting the top 25 collaborators of Wendy Hayes. A scholar is included among the top collaborators of Wendy Hayes 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 Wendy Hayes. Wendy Hayes 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

Nyamekye, Isaac, et al.. (2023). Six Year Extension Study of Patients From a Randomised Clinical Trial Comparing Venefit, Radiofrequency Induced Thermal Therapy, and Endovenous Radiofrequency Ablation for Treatment of Incompetent Great Saphenous Veins. European Journal of Vascular and Endovascular Surgery. 66(1). 94–101. 1 indexed citations

Dercle, Laurent, Matthew Fronheiser, Lin Lü, et al.. (2020). Identification of Non–Small Cell Lung Cancer Sensitive to Systemic Cancer Therapies Using Radiomics. Clinical Cancer Research. 26(9). 2151–2162. 128 indexed citations

Pachaï, Chahin, Seán Connolly, Yoshiya Tanaka, et al.. (2020). THU0095 IMPACT OF BASELINE EROSION SCORE ON RESPONSE TO TREATMENT AND FUTURE RADIOLOGICAL DAMAGE IN AVERT-2, A RANDOMISED PHASE IIIB STUDY OF ABATACEPT IN MTX-NAÏVE, ANTI-CITRULLINATED PROTEIN ANTIBODY–POSITIVE (ACPA+) PATIENTS WITH EARLY RA. Annals of the Rheumatic Diseases. 79. 261–261. 2 indexed citations

Smith, Ralph C., Joon‐Young Kim, David J. Donnelly, et al.. (2019). BMS-986327 as a novel PET imaging agent for assessment of LPA1 receptors in IPF. PA1399–PA1399. 1 indexed citations

Martyanov, Viktor, Grace Hyun J. Kim, Wendy Hayes, et al.. (2017). Novel lung imaging biomarkers and skin gene expression subsetting in dasatinib treatment of systemic sclerosis-associated interstitial lung disease. PLoS ONE. 12(11). e0187580–e0187580. 58 indexed citations

Smit, Egbert F., Idris Bahce, O. S. Hoekstra, et al.. (2017). Whole body PD-1 and PD-L1 PET in pts with NSCLC. Annals of Oncology. 28. v464–v464. 3 indexed citations

Gallezot, Jean‐Dominique, Nabeel Nabulsi, Daniel Holden, et al.. (2017). Evaluation of the Lysophosphatidic Acid Receptor Type 1 Radioligand ¹¹C-BMT-136088 for Lung Imaging in Rhesus Monkeys. Journal of Nuclear Medicine. 59(2). 327–333. 13 indexed citations

Schwartz, Lawrence H., Saskia Litière, Elisabeth G.E. de Vries, et al.. (2016). RECIST 1.1—Update and clarification: From the RECIST committee. European Journal of Cancer. 62. 132–137. 1206 indexed citations breakdown →

Schwartz, Lawrence H., Lesley Seymour, Saskia Litière, et al.. (2016). RECIST 1.1 – Standardisation and disease-specific adaptations: Perspectives from the RECIST Working Group. European Journal of Cancer. 62. 138–145. 221 indexed citations

10.

Frings, Virginie, Floris H. P. van Velden, Linda Velasquez, et al.. (2014). Repeatability of Metabolically Active Tumor Volume Measurements with FDG PET/CT in Advanced Gastrointestinal Malignancies: A Multicenter Study. Radiology. 273(2). 539–548. 78 indexed citations

11.

Risinger, Robert, Zubin Bhagwagar, Feng Luo, et al.. (2013). Evaluation of safety and tolerability, pharmacokinetics, and pharmacodynamics of BMS-820836 in healthy subjects: a placebo-controlled, ascending single-dose study. Psychopharmacology. 231(11). 2299–2310. 13 indexed citations

12.

Velden, Floris H. P. van, Ida A. Nissen, Linda Velasquez, et al.. (2013). Test-Retest Variability of Various Quantitative Measures to Characterize Tracer Uptake and/or Tracer Uptake Heterogeneity in Metastasized Liver for Patients with Colorectal Carcinoma. Molecular Imaging and Biology. 16(1). 13–18. 22 indexed citations

13.

Cheebsumon, Patsuree, Linda Velasquez, C. Hoekstra, et al.. (2011). Measuring response to therapy using FDG PET: semi-quantitative and full kinetic analysis. European Journal of Nuclear Medicine and Molecular Imaging. 38(5). 832–842. 59 indexed citations

14.

Coric, Vlad, John Seibyl, Mark A. Mintun, et al.. (2011). P1‐309: Correlation between baseline measures of amyloid‐positron emission tomography (PET) imaging, cerebral spinal fluid (CSF) biomarkers, and clinical scales in predementia Alzheimer's disease. Alzheimer s & Dementia. 7(4S_Part_6). 1 indexed citations

15.

Nogová, Lucia, Ronald Boellaard, Carsten Kobe, et al.. (2009). Downregulation of ¹⁸F-FDG Uptake in PET as an Early Pharmacodynamic Effect in Treatment of Non–Small Cell Lung Cancer with the mTOR Inhibitor Everolimus. Journal of Nuclear Medicine. 50(11). 1815–1819. 24 indexed citations

16.

Buckler, Andrew J., P. David Mozley, Lawrence H. Schwartz, et al.. (2009). Volumetric CT in Lung Cancer. Academic Radiology. 17(1). 107–115. 33 indexed citations

17.

Velasquez, Linda, Ronald Boellaard, Georgia Kollia, et al.. (2009). Repeatability of ¹⁸F-FDG PET in a Multicenter Phase I Study of Patients with Advanced Gastrointestinal Malignancies. Journal of Nuclear Medicine. 50(10). 1646–1654. 116 indexed citations

18.

Nogová, Lucia, Thomas Zander, Theodore C. Pellas, et al.. (2007). P1-084: Mammalian target of rapamycin (mTOR) inhibition by RAD001 in patients (pts) with reccurent non-small cell lung cancer (NSCLC): Use of 18F fluorodeoxyglucose positron-emission tomography (FDG-PET) in evaluation of the pharmacodynamic effect. Journal of Thoracic Oncology. 2(8). S583–S583. 2 indexed citations

19.

Smith, Jacqueline, et al.. (2004). Evaluation of Urgotul plus K-Four compression for venous leg ulcers. British Journal of Nursing. 13(Sup1). S20–S28. 11 indexed citations

20.

Hayes, Wendy, et al.. (1969). Solitary amyloid mass of the lung.Report of a case with 6-year follow-up. Cancer. 24(4). 820–825. 15 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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