A. E. Giuliano

4.2k total citations · 1 hit paper
51 papers, 3.2k citations indexed

About

A. E. Giuliano is a scholar working on Cancer Research, Oncology and Molecular Biology. According to data from OpenAlex, A. E. Giuliano has authored 51 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Cancer Research, 23 papers in Oncology and 13 papers in Molecular Biology. Recurrent topics in A. E. Giuliano's work include Breast Cancer Treatment Studies (19 papers), Breast Lesions and Carcinomas (10 papers) and Breast Implant and Reconstruction (7 papers). A. E. Giuliano is often cited by papers focused on Breast Cancer Treatment Studies (19 papers), Breast Lesions and Carcinomas (10 papers) and Breast Implant and Reconstruction (7 papers). A. E. Giuliano collaborates with scholars based in United States, India and Italy. A. E. Giuliano's co-authors include Ronald C. Jones, Murray F. Brennan, Frederick R. Eilber, James E. Goodnight, K.G. Patterson, J J Eckardt, D L Morton, Xiaojiang Cui, A. J. Cochran and Sanford J. Finck and has published in prestigious journals such as Journal of Clinical Oncology, The Journal of Clinical Endocrinology & Metabolism and JNCI Journal of the National Cancer Institute.

In The Last Decade

A. E. Giuliano

49 papers receiving 3.1k citations

Hit Papers

Sentinel lymphadenectomy in breast cancer. 1997 2026 2006 2016 1997 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. E. Giuliano United States 29 1.5k 1.3k 1.2k 1.0k 699 51 3.2k
Hideo Inaji Japan 31 1.9k 1.2× 1.3k 1.1× 1.5k 1.2× 937 0.9× 711 1.0× 168 3.7k
Aleš Ryška Czechia 29 628 0.4× 1.8k 1.4× 579 0.5× 1.4k 1.4× 679 1.0× 189 3.6k
Mauro G. Mastropasqua Italy 38 2.9k 1.9× 2.5k 2.0× 1.3k 1.1× 596 0.6× 657 0.9× 96 4.6k
Malcolm Hayes Canada 27 1.2k 0.8× 1.4k 1.1× 943 0.8× 428 0.4× 756 1.1× 92 3.2k
David Poller United Kingdom 26 1.3k 0.9× 944 0.7× 1.2k 1.0× 948 0.9× 349 0.5× 78 3.0k
Yun Gong United States 35 1.1k 0.7× 1.9k 1.5× 411 0.3× 432 0.4× 1.1k 1.6× 118 3.6k
Darrell R. Borger United States 35 1.1k 0.7× 1.7k 1.3× 585 0.5× 1.1k 1.0× 1.7k 2.4× 86 4.1k
Kent W. Nowels United States 25 1.3k 0.9× 622 0.5× 1.3k 1.1× 803 0.8× 432 0.6× 41 3.0k
K. Hacène France 26 1.2k 0.8× 1.7k 1.4× 462 0.4× 226 0.2× 881 1.3× 76 3.2k
Rafael E. Jiménez United States 32 600 0.4× 817 0.6× 427 0.4× 1.0k 1.0× 1.2k 1.7× 113 3.3k

Countries citing papers authored by A. E. Giuliano

Since Specialization
Citations

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

Fields of papers citing papers by A. E. Giuliano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. E. Giuliano. 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 A. E. Giuliano. The network helps show where A. E. Giuliano may publish in the future.

Co-authorship network of co-authors of A. E. Giuliano

This figure shows the co-authorship network connecting the top 25 collaborators of A. E. Giuliano. A scholar is included among the top collaborators of A. E. Giuliano 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 A. E. Giuliano. A. E. Giuliano 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.
Giuliano, A. E., Angela Chen, Chih‐Huang Lai, et al.. (2024). Automated analysis of flow cytometry data with minimal training files: Research evaluation of an elastic image registration algorithm for TBNK, stem cell enumeration, and lymphoid screening tube assays. Cytometry Part B Clinical Cytometry. 108(5). 357–365. 2 indexed citations
2.
Han, Bing, Neil A. Bhowmick, Ying Qu, et al.. (2017). FOXC1: an emerging marker and therapeutic target for cancer. Oncogene. 36(28). 3957–3963. 122 indexed citations
4.
Hoesel, Anneke Q. van, Yusuke Sato, David Elashoff, et al.. (2013). Assessment of DNA methylation status in early stages of breast cancer development. British Journal of Cancer. 108(10). 2033–2038. 69 indexed citations
5.
Ray, Partha, Xiao Zhen Zhou, Kun Ping Lu, et al.. (2012). FOXC1 regulates the functions of human basal-like breast cancer cells by activating NF-κB signaling. Oncogene. 31(45). 4798–4802. 96 indexed citations
6.
Droeser, Raoul A., Daniel M. Frey, Daniel Oertli, et al.. (2009). Volume-controlled vs no/short-term drainage after axillary lymph node dissection in breast cancer surgery: A meta-analysis. The Breast. 18(2). 109–114. 39 indexed citations
7.
Chagpar, Anees B., Peter Blumencranz, Patrick Whitworth, et al.. (2009). Use Pre- and Intra-Operative Data To Predict Probability of Positive Non-Sentinel Lymph Nodes.. Cancer Research. 69(24_Supplement). 302–302. 4 indexed citations
8.
Yamano, Tomoki, et al.. (2007). Immunity against breast cancer by TERT DNA vaccine primed with chemokine CCL21. Cancer Gene Therapy. 14(5). 451–459. 25 indexed citations
10.
Rubello, Domenico, Maria Rosa Pelizzo, Adil Al‐Nahhas, et al.. (2006). The role of sentinel lymph node biopsy in patients with differentiated thyroid carcinoma. European Journal of Surgical Oncology. 32(9). 917–921. 36 indexed citations
11.
Wallner, Paul E., D.W. Arthur, Harry Bartelink, et al.. (2004). Workshop on Partial Breast Irradiation: State of the Art and the Science, Bethesda, MD, December 8-10, 2002. JNCI Journal of the National Cancer Institute. 96(3). 175–184. 65 indexed citations
12.
Wascher, Robert A., Peter J. Bostick, K T Huynh, et al.. (2001). Detection of MAGE-A3 in breast cancer patients’ sentinel lymph nodes. British Journal of Cancer. 85(9). 1340–1346. 33 indexed citations
13.
Hsueh, Eddy C., Nora Hansen, & A. E. Giuliano. (2000). Intraoperative lymphatic mapping and sentinel lymph node dissection in breast cancer. CA A Cancer Journal for Clinicians. 50(5). 279–291. 38 indexed citations
14.
Chu, Kyo U. & A. E. Giuliano. (2000). Potential and Pitfalls of Sentinel Node Detection in Breast Cancer. Recent results in cancer research. 157. 237–249. 6 indexed citations
15.
Bailey, Julia N., et al.. (1999). UNILATERAL ADRENAL MEDULLARY HYPERPLASIA: ANOTHER FORM OF CURABLE HYPERTENSION?. International Journal of Clinical Practice. 53(2). 149–151. 7 indexed citations
16.
Yu, Meng-Lin, et al.. (1996). Differences in PTH (1–84) release in response to ambient calcium concentrations of parathyroid adenoma fragments and dispersed parathyroid adenoma cells in culture. Journal of Endocrinological Investigation. 19(6). 342–347. 1 indexed citations
17.
Layfield, Lester J., et al.. (1992). Clinical Determinants for the Management of Thyroid Nodules by Fine-Needle Aspiration Cytology. Archives of Otolaryngology - Head and Neck Surgery. 118(7). 717–721. 37 indexed citations
18.
Kirkwood, John M., Marc S. Ernstoff, A. E. Giuliano, et al.. (1990). Interferon α-2a and Dacarbazine in Melanoma. JNCI Journal of the National Cancer Institute. 82(12). 1062–1063. 32 indexed citations
19.
Estour, Bruno, André J. Van Herle, G Juillard, et al.. (1989). Characterization of a human follicular thyroid carcinoma cell line (UCLA RO 82 W-1). Virchows Archiv B Cell Pathology Including Molecular Pathology. 57(1). 167–174. 97 indexed citations
20.
Irie, Reiko F., et al.. (1979). Oncofetal Antigen: A Tumor-Associated Fetal Antigen Immunogenic in Man<xref ref-type="fn" rid="FN2">2</xref>. JNCI Journal of the National Cancer Institute. 63(2). 367–73. 28 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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