Nicholas Stabo

486 total citations
8 papers, 389 citations indexed

About

Nicholas Stabo is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Nicholas Stabo has authored 8 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Pulmonary and Respiratory Medicine and 2 papers in Oncology. Recurrent topics in Nicholas Stabo's work include Radiomics and Machine Learning in Medical Imaging (5 papers), MRI in cancer diagnosis (3 papers) and Renal cell carcinoma treatment (3 papers). Nicholas Stabo is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (5 papers), MRI in cancer diagnosis (3 papers) and Renal cell carcinoma treatment (3 papers). Nicholas Stabo collaborates with scholars based in United States. Nicholas Stabo's co-authors include Meghan G. Lubner, Alejandro Muñoz del Río, Perry J. Pickhardt, Sam Joseph Lubner, Chihwa Song, Richard B. Halberg, E. Jason Abel, Rodney A. Welch, Adam J. Kuchnia and Neil Binkley and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Bacteriology and The Journal of Urology.

In The Last Decade

Nicholas Stabo

7 papers receiving 388 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nicholas Stabo United States	4	328	144	119	91	66	8	389
Xianggao Zhu China	9	137 0.4×	117 0.8×	176 1.5×	33 0.4×	118 1.8×	40	389
Aaron Maxwell United States	11	108 0.3×	127 0.9×	34 0.3×	64 0.7×	54 0.8×	27	330
Sonia Sahu United States	13	133 0.4×	74 0.5×	101 0.8×	25 0.3×	149 2.3×	16	318
Yingmei Jia China	7	309 0.9×	87 0.6×	82 0.7×	38 0.4×	242 3.7×	10	377
Ling Huo China	8	77 0.2×	57 0.4×	59 0.5×	47 0.5×	154 2.3×	19	335
Jianhao Geng China	9	99 0.3×	127 0.9×	159 1.3×	25 0.3×	19 0.3×	39	341
Alexandra Barabasch Germany	12	187 0.6×	67 0.5×	44 0.4×	79 0.9×	66 1.0×	22	393
Farshad Imani Netherlands	5	86 0.3×	81 0.6×	65 0.5×	30 0.3×	66 1.0×	12	261
Annan Dong China	12	99 0.3×	67 0.5×	87 0.7×	19 0.2×	22 0.3×	23	288

Countries citing papers authored by Nicholas Stabo

Since Specialization

Citations

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

Fields of papers citing papers by Nicholas Stabo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas Stabo

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

Stabo, Nicholas, John W. Garrett, Sean Rose, et al.. (2023). Factors Contributing to Computed Tomography Trauma Scan Times at a Tertiary Center: Improving Emergency Department Trauma Imaging Workflow Through Targeted Interventions. Journal of Computer Assisted Tomography. 47(4). 621–628.

Kuchnia, Adam J., Timothy Hess, Nicholas Stabo, et al.. (2022). Computed tomography measured tissue density of pectoral muscle and liver predicts outcomes in heart transplant recipients. SHILAP Revista de lepidopterología. 5(2). 171–181. 3 indexed citations

Abel, E. Jason, et al.. (2021). Comparison of CT Texture Analysis Software Platforms in Renal Cell Carcinoma: Reproducibility of Numerical Values and Association With Histologic Subtype Across Platforms. American Journal of Roentgenology. 216(6). 1549–1557. 2 indexed citations

Lubner, Meghan G., Nicholas Stabo, Sam Joseph Lubner, et al.. (2017). Volumetric Versus Unidimensional Measures of Metastatic Colorectal Cancer in Assessing Disease Response. Clinical Colorectal Cancer. 16(4). 324–333.e1. 10 indexed citations

Lubner, Meghan G., Nicholas Stabo, E. Jason Abel, Alejandro Muñoz del Río, & Perry J. Pickhardt. (2016). CT Textural Analysis of Large Primary Renal Cell Carcinomas: Pretreatment Tumor Heterogeneity Correlates With Histologic Findings and Clinical Outcomes. American Journal of Roentgenology. 207(1). 96–105. 114 indexed citations

Lubner, Meghan G., Nicholas Stabo, Sam Joseph Lubner, et al.. (2015). CT textural analysis of hepatic metastatic colorectal cancer: pre-treatment tumor heterogeneity correlates with pathology and clinical outcomes. Abdominal Imaging. 40(7). 2331–2337. 227 indexed citations

Lubner, Meghan G., et al.. (2015). PD4-08 PRE-TREATMENT CT TEXTURAL ANALYSIS OF LARGE PRIMARY RENAL CELL CARCINOMAS; TUMOR HETEROGENEITY CORRELATES WITH HISTOLOGY AND CLINICAL OUTCOMES. The Journal of Urology. 193(4S). 1 indexed citations

Stabo, Nicholas, et al.. (2013). Characterization of Escherichia coli d -Cycloserine Transport and Resistant Mutants. Journal of Bacteriology. 195(7). 1389–1399. 32 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.

Explore authors with similar magnitude of impact