Ryan W. Woods

992 total citations
44 papers, 702 citations indexed

About

Ryan W. Woods is a scholar working on Artificial Intelligence, Oncology and General Health Professions. According to data from OpenAlex, Ryan W. Woods has authored 44 papers receiving a total of 702 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 11 papers in Oncology and 9 papers in General Health Professions. Recurrent topics in Ryan W. Woods's work include AI in cancer detection (12 papers), Global Cancer Incidence and Screening (9 papers) and Digital Radiography and Breast Imaging (8 papers). Ryan W. Woods is often cited by papers focused on AI in cancer detection (12 papers), Global Cancer Incidence and Screening (9 papers) and Digital Radiography and Breast Imaging (8 papers). Ryan W. Woods collaborates with scholars based in United States, Tunisia and Portugal. Ryan W. Woods's co-authors include Elizabeth S. Burnside, Susan C. Harvey, Oğuzhan Alagöz, Turgay Ayer, Charles E. Kahn, Jagpreet Chhatwal, Deborah A. Frank, Howard Cabral, Lonie R. Salkowski and Mehmet Ayvaci and has published in prestigious journals such as SHILAP Revista de lepidopterología, PEDIATRICS and Radiology.

In The Last Decade

Ryan W. Woods

41 papers receiving 670 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ryan W. Woods United States	13	170	148	140	121	105	44	702
Bethany Williams United Kingdom	16	491 2.9×	293 2.0×	239 1.7×	73 0.6×	87 0.8×	35	963
Dah‐Cherng Yeh Taiwan	20	103 0.6×	185 1.3×	401 2.9×	58 0.5×	340 3.2×	48	1.2k
Fariborz Mokarian Iran	13	78 0.5×	49 0.3×	175 1.3×	40 0.3×	47 0.4×	44	522
Yan Yuan Canada	18	107 0.6×	64 0.4×	161 1.1×	21 0.2×	100 1.0×	85	944
Rachel Hicklen United States	11	67 0.4×	68 0.5×	108 0.8×	55 0.5×	118 1.1×	28	853
Jamil S. Samaan United States	15	228 1.3×	237 1.6×	137 1.0×	18 0.1×	138 1.3×	48	1.1k
Wai Keong Wong United Kingdom	15	42 0.2×	59 0.4×	237 1.7×	61 0.5×	183 1.7×	36	1.1k
Hao‐Hsien Lee Taiwan	15	63 0.4×	74 0.5×	131 0.9×	20 0.2×	122 1.2×	30	685
Skyler B. Johnson United States	18	106 0.6×	158 1.1×	245 1.8×	21 0.2×	392 3.7×	89	1.4k

Countries citing papers authored by Ryan W. Woods

Since Specialization

Citations

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

Fields of papers citing papers by Ryan W. Woods

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan W. Woods. 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 Ryan W. Woods. The network helps show where Ryan W. Woods may publish in the future.

Co-authorship network of co-authors of Ryan W. Woods

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan W. Woods. A scholar is included among the top collaborators of Ryan W. Woods 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 Ryan W. Woods. Ryan W. Woods 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

Woods, Ryan W., et al.. (2025). Racial and Ethnic Disparities in Screening Mammography During COVID-19 in the Upper Midwest. Journal of the American College of Radiology. 22(3). 315–323. 2 indexed citations

Lambert, Leah K., et al.. (2025). An early evaluation of team consistency and scope optimization in team-based cancer care. BMC Cancer. 25(1). 371–371.

Narayan, Anand K., et al.. (2024). Fostering Organizational Excellence through Inclusive Leadership: Practical Guide for Radiology Leaders. Radiographics. 44(9). e230162–e230162. 1 indexed citations

Brodhead, Matthew T., et al.. (2024). Multimodality imaging review of metastatic melanoma involving the breast. Current Problems in Diagnostic Radiology. 53(2). 289–296. 3 indexed citations

Neuman, Heather B., Lee G. Wilke, Mai Elezaby, et al.. (2024). Engaging Multidisciplinary Teams to Develop Pragmatic Clinical Practice Guidelines to Support Management of Patients With High-Risk Breast Lesions. Clinical Breast Cancer. 25(1). 56–64.

Flores, Efrén J., Mai Elezaby, Earlise Ward, et al.. (2023). Community-based Participatory Research: A Practical Guide for Radiologists. Radiographics. 43(5). e220145–e220145. 5 indexed citations

Narayan, Anand K., et al.. (2022). Utilization of Screening Mammography in Women Before 50: Cross-Sectional Survey Results from the National Health Interview Survey. Academic Radiology. 30(6). 1101–1106. 2 indexed citations

Darvishian, Maryam, et al.. (2022). Agreement between self-report and administrative health data on occurrence of non-cancer chronic disease among participants of the BC generations project. SHILAP Revista de lepidopterología. 2. 1054485–1054485. 4 indexed citations

Woods, Ryan W., et al.. (2019). Development of Breast Imaging Specific Entrustable Professional Activities Using a Double Delphi Technique. Academic Radiology. 26(5). 591–596. 5 indexed citations

10.

Woods, Ryan W., Lonie R. Salkowski, Mai Elezaby, et al.. (2019). Image-based screening for men at high risk for breast cancer: Benefits and drawbacks. Clinical Imaging. 60(1). 84–89. 19 indexed citations

11.

Woods, Ryan W., Melissa Camp, Nicholas J. Durr, & Susan C. Harvey. (2018). A Review of Options for Localization of Axillary Lymph Nodes in the Treatment of Invasive Breast Cancer. Academic Radiology. 26(6). 805–819. 42 indexed citations

12.

Salkowski, Lonie R., Mai Elezaby, Amy M. Fowler, et al.. (2018). Comparison of screening full-field digital mammography and digital breast tomosynthesis technical recalls. Journal of Medical Imaging. 6(3). 1–1. 4 indexed citations

13.

Porter, Kristin K., Ryan W. Woods, Paul Bailey, William W. Scott, & Pamela T. Johnson. (2015). Positive Control Radiographs for Identifying a Suspected Retained Surgical Item. Journal of the American College of Radiology. 12(8). 830–832. 2 indexed citations

14.

Obadina, Eniola, Lori L. DuBenske, Helene McDowell, et al.. (2014). Online support: Impact on anxiety in women who experience an abnormal screening mammogram. The Breast. 23(6). 743–748. 9 indexed citations

15.

Wu, Yirong, Oğuzhan Alagöz, Mehmet Ayvaci, et al.. (2013). A Comprehensive Methodology for Determining the Most Informative Mammographic Features. Journal of Digital Imaging. 26(5). 941–947. 20 indexed citations

16.

Woods, Ryan W. & John Eng. (2013). Evaluating the Completeness of RadLex in the Chest Radiography Domain. Academic Radiology. 20(11). 1329–1333. 6 indexed citations

17.

Woods, Ryan W., et al.. (2010). The Mammographic Density of a Mass Is a Significant Predictor of Breast Cancer. Radiology. 258(2). 417–425. 41 indexed citations

18.

Woods, Ryan W., et al.. (2009). Validation of Results from Knowledge Discovery: Mass Density as a Predictor of Breast Cancer. Journal of Digital Imaging. 23(5). 554–561. 13 indexed citations

19.

Ayer, Turgay, Jagpreet Chhatwal, Oğuzhan Alagöz, et al.. (2009). Comparison of Logistic Regression and Artificial Neural Network Models in Breast Cancer Risk Estimation. Radiographics. 30(1). 13–22. 142 indexed citations

20.

MacDonald, Helen Z., Marjorie Beeghly, Wanda Grant-Knight, et al.. (2008). Longitudinal association between infant disorganized attachment and childhood posttraumatic stress symptoms. Development and Psychopathology. 20(2). 493–508. 69 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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