Neville Eclov

2.8k total citations · 1 hit paper
25 papers, 2.0k citations indexed

About

Neville Eclov is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Neville Eclov has authored 25 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Radiation and 10 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Neville Eclov's work include Medical Imaging Techniques and Applications (10 papers), Advanced Radiotherapy Techniques (8 papers) and Lung Cancer Diagnosis and Treatment (8 papers). Neville Eclov is often cited by papers focused on Medical Imaging Techniques and Applications (10 papers), Advanced Radiotherapy Techniques (8 papers) and Lung Cancer Diagnosis and Treatment (8 papers). Neville Eclov collaborates with scholars based in United States, China and Australia. Neville Eclov's co-authors include Billy W. Loo, Maximilian Diehn, Heather A. Wakelee, Joel W. Neal, Aaron M. Newman, Jacob Wynne, Robert E. Merritt, L.A. Modlin, Chih Long Liu and Joseph B. Shrager and has published in prestigious journals such as Nature Medicine, Journal of Clinical Oncology and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Neville Eclov

24 papers receiving 1.9k 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.

An ultrasensitive method for quantitating circulating tumor DNA with broad patient coverage

2014 1.5k citations Aaron M. Newman, Scott V. Bratman et al. Nature Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Neville Eclov United States	12	1.4k	945	627	601	345	25	2.0k
Rüdiger Schulz‐Wendtland Germany	21	758 0.6×	338 0.4×	327 0.5×	312 0.5×	474 1.4×	111	1.6k
Melanie Powell United Kingdom	26	419 0.3×	403 0.4×	353 0.6×	283 0.5×	178 0.5×	59	2.2k
David L. Wachter Germany	23	530 0.4×	227 0.2×	498 0.8×	696 1.2×	334 1.0×	59	1.8k
W.J. Curran United States	9	671 0.5×	838 0.9×	675 1.1×	383 0.6×	179 0.5×	38	2.3k
Christopher C. Riedl United States	27	766 0.6×	513 0.5×	731 1.2×	254 0.4×	512 1.5×	62	2.5k
L. Manchul Canada	26	1.3k 0.9×	397 0.4×	849 1.4×	443 0.7×	448 1.3×	63	3.4k
Egesta Lopci Italy	32	628 0.5×	1.3k 1.3×	1.2k 1.9×	292 0.5×	217 0.6×	176	3.7k
Thomas Gauler Germany	30	481 0.4×	1.7k 1.8×	1.6k 2.5×	797 1.3×	110 0.3×	152	3.1k
N. Chavaudra France	21	664 0.5×	458 0.5×	590 0.9×	565 0.9×	179 0.5×	38	1.7k
Albert van der Kogel Netherlands	15	438 0.3×	496 0.5×	277 0.4×	386 0.6×	63 0.2×	27	1.5k

Countries citing papers authored by Neville Eclov

Since Specialization

Citations

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

Fields of papers citing papers by Neville Eclov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neville Eclov

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

Eisenstein, Eric L., Samantha M. Thomas, Neville Eclov, et al.. (2024). Health Care Cost Reductions with Machine Learning–Directed Evaluations during Radiation Therapy — An Economic Analysis of a Randomized Controlled Study. NEJM AI. 1(4). 5 indexed citations

Hong, Julian C., Neville Eclov, Sarah Jo Stephens, et al.. (2023). Healthcare provider evaluation of machine learning-directed care: reactions to deployment on a randomised controlled study. BMJ Health & Care Informatics. 30(1). e100674–e100674. 3 indexed citations

Hong, Julian C., Neville Eclov, Sarah Jo Stephens, Yvonne M. Mowery, & Manisha Palta. (2022). Implementation of machine learning in the clinic: challenges and lessons in prospective deployment from the System for High Intensity EvaLuation During Radiation Therapy (SHIELD-RT) randomized controlled study. BMC Bioinformatics. 23(S12). 408–408. 8 indexed citations

Thomas, Samantha M., Neville Eclov, Sarah Jo Stephens, et al.. (2021). Machine Learning Algorithm Prospectively Predicts Survival for High-Risk Patients Undergoing Radiotherapy: A Survival Analysis of SHIELD-RT. International Journal of Radiation Oncology*Biology*Physics. 111(3). S113–S113. 1 indexed citations

Gensheimer, Michael F., Julian C. Hong, Hui Zhu, et al.. (2017). Mid-radiotherapy PET/CT for prognostication and detection of early progression in patients with stage III non-small cell lung cancer. Radiotherapy and Oncology. 125(2). 338–343. 25 indexed citations

Kim, Heejong, Qingguo Xie, Neville Eclov, et al.. (2017). A prototype MR insert PET detector with strip-line readout. 1–2. 2 indexed citations

Kim, Heejong, Xudong Lyu, Feng Xu, et al.. (2017). A systematic study on the strip-line readout method for SiPM-based TOF PET. 1–3. 2 indexed citations

Chen, C.-T., Neville Eclov, A. Ronzhin, et al.. (2016). A silicon photo-multiplier signal readout using strip-line and waveform sampling for Positron Emission Tomography. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 830. 119–129. 18 indexed citations

Kim, Heejong, et al.. (2016). Performance tests of TOF PET detectors with a strip-line based readout. 1–3.

10.

Yamamoto, Tokihiro, Sven Kabus, Christian D. Lorenz, et al.. (2014). Pulmonary Ventilation Imaging Based on 4-Dimensional Computed Tomography: Comparison With Pulmonary Function Tests and SPECT Ventilation Images. International Journal of Radiation Oncology*Biology*Physics. 90(2). 414–422. 79 indexed citations

11.

Chen, C.-T., Neville Eclov, A. Ronzhin, et al.. (2014). A feasibility study of a PET/MRI insert detector using strip-line and waveform sampling data acquisition. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 784. 557–564. 17 indexed citations

12.

Newman, Aaron M., Scott V. Bratman, Jacob Wynne, et al.. (2014). An ultrasensitive method for quantitating circulating tumor DNA with broad patient coverage. Nature Medicine. 20(5). 548–554. 1547 indexed citations breakdown →

13.

Chen, C.-T., Neville Eclov, A. Ronzhin, et al.. (2014). A new time calibration method for switched-capacitor-array-based waveform samplers. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 767. 67–74. 18 indexed citations

14.

Eclov, Neville, Melody P. Chung, Jacob Wynne, et al.. (2014). Feasibility and Potential Utility of Multicomponent Exhaled Breath Analysis for Predicting Development of Radiation Pneumonitis After Stereotactic Ablative Radiotherapy. Journal of Thoracic Oncology. 9(7). 957–964. 6 indexed citations

15.

Lam, Marnix G. E. H., M. Abdallah, Daniel T. Chang, et al.. (2013). Safety of 90Y Radioembolization in Patients Who Have Undergone Previous External Beam Radiation Therapy. International Journal of Radiation Oncology*Biology*Physics. 87(2). 323–329. 34 indexed citations

16.

Yamamoto, Tokihiro, Sven Kabus, Christian D. Lorenz, et al.. (2013). 4D CT lung ventilation images are affected by the 4D CT sorting method. Medical Physics. 40(10). 101907–101907. 59 indexed citations

17.

Taniguchi, Cullen M., James D. Murphy, Neville Eclov, et al.. (2012). Dosimetric Analysis of Organs at Risk During Expiratory Gating in Stereotactic Body Radiation Therapy for Pancreatic Cancer. International Journal of Radiation Oncology*Biology*Physics. 85(4). 1090–1095. 36 indexed citations

18.

Liu, Michael B., Neville Eclov, Nicholas Trakul, et al.. (2012). Clinical impact of dose overestimation by effective path length calculation in stereotactic ablative radiation therapy of lung tumors. Practical Radiation Oncology. 3(4). 294–300. 21 indexed citations

19.

Das, Millie, Jessica Donington, James D. Murphy, et al.. (2011). Results from a Single Institution Phase II Trial of Concurrent Docetaxel/Carboplatin/Radiotherapy Followed by Surgical Resection and Consolidation Docetaxel/Carboplatin in Stage III Non–Small-Cell Lung Cancer. Clinical Lung Cancer. 12(5). 280–285. 2 indexed citations

20.

Abdallah, M., Daniel T. Chang, Neville Eclov, et al.. (2011). Abstract No. 201: Safety of Y90 radioembolization in patients who have undergone previous external beam radiation therapy. Journal of Vascular and Interventional Radiology. 22(3). S87–S87. 1 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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