Fang-I Lu

509 total citations
5 papers, 100 citations indexed

About

Fang-I Lu is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Fang-I Lu has authored 5 papers receiving a total of 100 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Reproductive Medicine, 2 papers in Obstetrics and Gynecology and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Fang-I Lu's work include Ovarian cancer diagnosis and treatment (3 papers), Endometrial and Cervical Cancer Treatments (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Fang-I Lu is often cited by papers focused on Ovarian cancer diagnosis and treatment (3 papers), Endometrial and Cervical Cancer Treatments (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Fang-I Lu collaborates with scholars based in Canada, Egypt and Mexico. Fang-I Lu's co-authors include Katarzyna J. Jerzak, Sami Tabbarah, Ali Sadeghi‐Naini, Iván M. Rosado-Méndez, Tina Wu, Andrew Lagree, Jonathan Klein, William T. Tran, Guangming Han and Valérie Dubé and has published in prestigious journals such as Archives of Pathology & Laboratory Medicine, International Journal of Gynecological Pathology and International Journal of Surgical Pathology.

In The Last Decade

Fang-I Lu

5 papers receiving 100 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fang-I Lu Canada	4	44	37	27	23	16	5	100
Runyu Hong United States	4	61 1.4×	7 0.2×	61 2.3×	19 0.8×	6 0.4×	6	122
Wuliang Wang China	8	17 0.4×	49 1.3×	15 0.6×	64 2.8×	2 0.1×	28	201
Khalid AbdulJabbar United Kingdom	7	23 0.5×	9 0.2×	9 0.3×	7 0.3×		9	112
Cédric Balsat Belgium	8	37 0.8×	12 0.3×	39 1.4×	7 0.3×	1 0.1×	9	212
B. Young United States	4	17 0.4×	10 0.3×	10 0.4×	5 0.2×		4	56
Taman Upadhaya France	6	103 2.3×	2 0.1×	58 2.1×	5 0.2×	21 1.3×	12	142
Didem Çifçi Germany	5	113 2.6×	3 0.1×	103 3.8×	3 0.1×	29 1.8×	10	167
Moraima Pagan United States	5	27 0.6×	21 0.6×	8 0.3×	1 0.0×	8 0.5×	6	339
Jessica Reynolds Italy	4	24 0.5×	21 0.6×	8 0.3×	1 0.0×	8 0.5×	4	312
Anne Sophie V M van den Heerik Netherlands	4	9 0.2×	61 1.6×	3 0.1×	101 4.4×		4	151

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

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

5 of 5 papers shown

1.

Slodkowska, Elzbieta, et al.. (2025). Clinicopathologic Features and Genomic Profile of Human Epidermal Growth Factor Receptor 2–Low and Human Epidermal Growth Factor Receptor 2–Ultralow Invasive Breast Carcinomas. Archives of Pathology & Laboratory Medicine. 150(3). 229–234. 1 indexed citations

2.

Tran, William T., Katarzyna J. Jerzak, Fang-I Lu, et al.. (2019). Personalized Breast Cancer Treatments Using Artificial Intelligence in Radiomics and Pathomics. Journal of medical imaging and radiation sciences. 50(4). S32–S41. 60 indexed citations

3.

El‐Baz, Mahmoud, Nadia Ismiil, Valérie Dubé, et al.. (2018). Endometriosis-associated Ovarian Cancer is a Subset With a More Favorable Outcome and Distinct Clinical-pathologic Characteristics. International Journal of Gynecological Pathology. 38(5). 435–442. 9 indexed citations

4.

Ismiil, Nadia, Valérie Dubé, Guangming Han, et al.. (2018). Comprehensive Clinicopathologic and Updated Immunohistochemical Characterization of Primary Ovarian Mucinous Carcinoma. International Journal of Surgical Pathology. 26(4). 306–317. 23 indexed citations

5.

Ghorab, Zeina, Valérie Dubé, Anna Plotkin, et al.. (2015). Immunophenotypic Analysis in Early Müllerian Serous Carcinogenesis. International Journal of Gynecological Pathology. 34(5). 424–436. 7 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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