Jillian Sue

828 total citations
5 papers, 443 citations indexed

About

Jillian Sue is a scholar working on Artificial Intelligence, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jillian Sue has authored 5 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Pulmonary and Respiratory Medicine and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jillian Sue's work include AI in cancer detection (4 papers), Prostate Cancer Diagnosis and Treatment (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Jillian Sue is often cited by papers focused on AI in cancer detection (4 papers), Prostate Cancer Diagnosis and Treatment (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Jillian Sue collaborates with scholars based in United States and Brazil. Jillian Sue's co-authors include David S. Klimstra, Olca Baştürk, Laura H. Tang, Christopher Kanan, Ran Godrich, Victor E. Reuter, Patricia Raciti, Jeremy D. Kunz, Leo Grady and Thomas J. Fuchs and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and The American Journal of Surgical Pathology.

In The Last Decade

Jillian Sue

5 papers receiving 439 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jillian Sue United States	4	272	264	168	136	111	5	443
Kishore Gopalakrishnan United Kingdom	8	101 0.4×	68 0.3×	28 0.2×	129 0.9×	65 0.6×	21	303
Julia Arfi‐Rouche France	9	104 0.4×	24 0.1×	28 0.2×	121 0.9×	138 1.2×	25	315
Ray C. Mayo United States	10	63 0.2×	17 0.1×	60 0.4×	146 1.1×	210 1.9×	16	422
Xiaoming Zhou China	10	45 0.2×	71 0.3×	30 0.2×	45 0.3×	223 2.0×	24	323
Chuangen Guo China	11	238 0.9×	177 0.7×	56 0.3×	19 0.1×	188 1.7×	25	395
Marit Lucas Netherlands	10	71 0.3×	44 0.2×	20 0.1×	129 0.9×	124 1.1×	13	337
Giuseppe Corrias Italy	10	65 0.2×	67 0.3×	15 0.1×	22 0.2×	160 1.4×	24	298
Wenzhe Kang China	10	163 0.6×	43 0.2×	16 0.1×	21 0.2×	50 0.5×	33	376
Yura Ahn South Korea	10	24 0.1×	48 0.2×	22 0.1×	27 0.2×	163 1.5×	51	353
Shahab Shayesteh United States	9	260 1.0×	31 0.1×	8 0.0×	88 0.6×	267 2.4×	18	383

Countries citing papers authored by Jillian Sue

Since Specialization

Citations

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

Fields of papers citing papers by Jillian Sue

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jillian Sue

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

All Works

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5 of 5 papers shown

1.

Raciti, Patricia, Jillian Sue, Juan Antonio Retámero, et al.. (2022). Clinical Validation of Artificial Intelligence–Augmented Pathology Diagnosis Demonstrates Significant Gains in Diagnostic Accuracy in Prostate Cancer Detection. Archives of Pathology & Laboratory Medicine. 147(10). 1178–1185. 54 indexed citations

2.

Hanna, Matthew G., Patricia Raciti, Ran Godrich, et al.. (2021). Abstract PD6-03: Clinical-grade detection of breast cancer in biopsies and excisions using machine learning. Cancer Research. 81(4_Supplement). PD6–3. 1 indexed citations

3.

Raciti, Patricia, Jillian Sue, Ran Godrich, et al.. (2020). Novel artificial intelligence system increases the detection of prostate cancer in whole slide images of core needle biopsies. Modern Pathology. 33(10). 2058–2066. 121 indexed citations

4.

Kanan, Christopher, Jillian Sue, Leo Grady, et al.. (2020). Independent validation of paige prostate: Assessing clinical benefit of an artificial intelligence tool within a digital diagnostic pathology laboratory workflow.. Journal of Clinical Oncology. 38(15_suppl). e14076–e14076. 8 indexed citations

5.

Tang, Laura H., Olca Baştürk, Jillian Sue, & David S. Klimstra. (2016). A Practical Approach to the Classification of WHO Grade 3 (G3) Well-differentiated Neuroendocrine Tumor (WD-NET) and Poorly Differentiated Neuroendocrine Carcinoma (PD-NEC) of the Pancreas. The American Journal of Surgical Pathology. 40(9). 1192–1202. 259 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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