Fang‐I Lu

1.5k total citations
41 papers, 794 citations indexed

About

Fang‐I Lu is a scholar working on Cancer Research, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Fang‐I Lu has authored 41 papers receiving a total of 794 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cancer Research, 17 papers in Radiology, Nuclear Medicine and Imaging and 12 papers in Oncology. Recurrent topics in Fang‐I Lu's work include Breast Cancer Treatment Studies (16 papers), AI in cancer detection (11 papers) and Radiomics and Machine Learning in Medical Imaging (10 papers). Fang‐I Lu is often cited by papers focused on Breast Cancer Treatment Studies (16 papers), AI in cancer detection (11 papers) and Radiomics and Machine Learning in Medical Imaging (10 papers). Fang‐I Lu collaborates with scholars based in Canada, United States and United Kingdom. Fang‐I Lu's co-authors include Elzbieta Slodkowska, Sharon Nofech‐Mozes, David Owen, Douglas Webber, Dmitry Turbin, William T. Tran, Ali Sadeghi‐Naini, Wedad Hanna, Sonal Gandhi and Andrew Lagree and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Fang‐I Lu

39 papers receiving 785 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fang‐I Lu Canada 16 309 244 228 221 189 41 794
Ines Gruber Germany 18 265 0.9× 205 0.8× 97 0.4× 299 1.4× 65 0.3× 39 764
Kenneth W. Berean Canada 10 196 0.6× 249 1.0× 242 1.1× 146 0.7× 69 0.4× 16 843
Kate Downey United Kingdom 12 124 0.4× 443 1.8× 168 0.7× 82 0.4× 61 0.3× 29 767
Yosep Chong South Korea 16 184 0.6× 277 1.1× 88 0.4× 118 0.5× 319 1.7× 86 836
Inge-Marie Obdeijn Netherlands 13 263 0.9× 255 1.0× 77 0.3× 359 1.6× 46 0.2× 18 835
In Ae Park South Korea 15 156 0.5× 335 1.4× 83 0.4× 390 1.8× 115 0.6× 28 887
Susan Koelliker United States 10 164 0.5× 337 1.4× 113 0.5× 499 2.3× 238 1.3× 13 1.1k
R. Schulz-Wendtland Germany 16 357 1.2× 423 1.7× 381 1.7× 350 1.6× 276 1.5× 65 1.2k
Rasha Kamal Egypt 14 69 0.2× 216 0.9× 159 0.7× 112 0.5× 132 0.7× 40 497
Chad Vanderbilt United States 17 290 0.9× 71 0.3× 306 1.3× 116 0.5× 56 0.3× 64 947

Countries citing papers authored by Fang‐I Lu

Since Specialization
Citations

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

Fields of papers citing papers by Fang‐I Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fang‐I Lu. 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 Fang‐I Lu. The network helps show where Fang‐I Lu may publish in the future.

Co-authorship network of co-authors of Fang‐I Lu

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

All Works

20 of 20 papers shown
1.
Gotlieb, Avrum I., Fang‐I Lu, Heather Shapiro, et al.. (2024). Professional Master of Health Science in Laboratory Medicine. American Journal Of Pathology. 194(11). 2000–2006. 1 indexed citations
2.
Kiss, Alex, Katarzyna J. Jerzak, Sonal Gandhi, et al.. (2023). Predicting Patterns of Distant Metastasis in Breast Cancer Patients following Local Regional Therapy Using Machine Learning. Genes. 14(9). 1768–1768. 3 indexed citations
3.
Kozak, Robert, Sharon Nofech‐Mozes, Ekaterina Olkhov‐Mitsel, et al.. (2023). Cystic neutrophilic granulomatous mastitis: sensitivity and specificity of 16s rRNA and Sanger sequencing for Corynebacterium spp. Journal of Clinical Pathology. 77(5). 306–311. 4 indexed citations
4.
Faragalla, Hala, Anna Plotkin, Penny J. Barnes, et al.. (2023). Ki67 in Breast Cancer Assay: An Ad Hoc Testing Recommendation from the Canadian Association of Pathologists Task Force. Current Oncology. 30(3). 3079–3090. 6 indexed citations
5.
Lagree, Andrew, Fang‐I Lu, Jonathan Klein, et al.. (2022). Comparative Evaluation of Tumor-Infiltrating Lymphocytes in Companion Animals: Immuno-Oncology as a Relevant Translational Model for Cancer Therapy. Cancers. 14(20). 5008–5008. 13 indexed citations
6.
7.
Lu, Fang‐I & Savithiri Ratnapalan. (2022). Burnout Interventions for Resident Physicians: A Scoping Review of Their Content, Format, and Effectiveness. Archives of Pathology & Laboratory Medicine. 147(2). 227–235. 4 indexed citations
8.
Lagree, Andrew, Fang‐I Lu, David W. Dodington, et al.. (2021). Assessment of Digital Pathology Imaging Biomarkers Associated with Breast Cancer Histologic Grade. Current Oncology. 28(6). 4298–4316. 11 indexed citations
9.
Lagree, Andrew, Nicholas Meti, Fang‐I Lu, et al.. (2021). A review and comparison of breast tumor cell nuclei segmentation performances using deep convolutional neural networks. Scientific Reports. 11(1). 8025–8025. 48 indexed citations
10.
Lu, Fang‐I, Susan Glover Takahashi, & Carolyn L. Kerr. (2021). Myth or Reality: Self-Assessment Is Central to Effective Curriculum in Anatomical Pathology Graduate Medical Education. Academic Pathology. 8. 2466112920–2466112920. 7 indexed citations
11.
Dodington, David W., Andrew Lagree, Sami Tabbarah, et al.. (2021). Analysis of tumor nuclear features using artificial intelligence to predict response to neoadjuvant chemotherapy in high-risk breast cancer patients. Breast Cancer Research and Treatment. 186(2). 379–389. 26 indexed citations
12.
Ciga, Ozan, et al.. (2021). Overcoming the limitations of patch-based learning to detect cancer in whole slide images. Scientific Reports. 11(1). 8894–8894. 29 indexed citations
13.
Tran, William T., Ali Sadeghi‐Naini, Fang‐I Lu, et al.. (2020). Computational Radiology in Breast Cancer Screening and Diagnosis Using Artificial Intelligence. Canadian Association of Radiologists Journal. 72(1). 98–108. 48 indexed citations
14.
Tan, Charlie, Fang‐I Lu, Patryk Aftanas, et al.. (2020). Whole genome sequence of Corynebacterium kroppenstedtii isolated from a case of recurrent granulomatous mastitis. IDCases. 23. e01034–e01034. 10 indexed citations
15.
Morgan, Sarah, Yutaka Amemiya, Elzbieta Slodkowska, et al.. (2019). Pilot Study on the Utility of Circulating HER2/Neu Levels in the Serum of Breast Cancer Patients. Anticancer Research. 39(10). 5345–5352. 2 indexed citations
16.
Hanna, Wedad, Carlos Parra‐Herran, Fang‐I Lu, et al.. (2019). Ductal carcinoma in situ of the breast: an update for the pathologist in the era of individualized risk assessment and tailored therapies. Modern Pathology. 32(7). 896–915. 24 indexed citations
17.
Slodkowska, Elzbieta, Sharon Nofech‐Mozes, Bin Xu, et al.. (2018). Fibroepithelial lesions of the breast: a comprehensive morphological and outcome analysis of a large series. Modern Pathology. 31(7). 1073–1084. 30 indexed citations
18.
Au, Frederick, Sandeep Ghai, Fang‐I Lu, Hadas Moshonov, & Pavel Crystal. (2015). Quantitative Shear Wave Elastography. Academic Radiology. 22(3). 269–277. 31 indexed citations
19.
Lu, Fang‐I, Rachel Kaplan, Yifang Liu, et al.. (2013). In Search of the Ideal Immunopanel to Distinguish Metastatic Mammary Carcinoma From Primary Lung Carcinoma. Applied immunohistochemistry & molecular morphology. 22(4). 266–274. 16 indexed citations
20.
Lu, Fang‐I, et al.. (2010). Longitudinal Outcome Study of Sessile Serrated Adenomas of the Colorectum: An Increased Risk for Subsequent Right-sided Colorectal Carcinoma. The American Journal of Surgical Pathology. 34(7). 927–934. 152 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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