Julia Tchou

8.9k total citations · 2 hit papers
135 papers, 6.2k citations indexed

About

Julia Tchou is a scholar working on Oncology, Cancer Research and Surgery. According to data from OpenAlex, Julia Tchou has authored 135 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Oncology, 54 papers in Cancer Research and 32 papers in Surgery. Recurrent topics in Julia Tchou's work include Breast Cancer Treatment Studies (43 papers), Breast Implant and Reconstruction (22 papers) and Cancer Risks and Factors (15 papers). Julia Tchou is often cited by papers focused on Breast Cancer Treatment Studies (43 papers), Breast Implant and Reconstruction (22 papers) and Cancer Risks and Factors (15 papers). Julia Tchou collaborates with scholars based in United States, Spain and Switzerland. Julia Tchou's co-authors include Arthur P. Grollman, A.P. Grollman, Shinya Shibutani, Paul J. Zhang, Brian J. Czerniecki, José R. Conejo-García, Andrea Cheville, Mark L. Michaels, Jacques Laval and Susumu Nishimura and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Julia Tchou

126 papers receiving 6.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

8-oxoguanine (8-hydroxyguanine) DNA glycosylase and its substrate specificity.

1991 612 citations Julia Tchou et al. profile →
Clinical Diagnosis and Management of Breast Cancer

2016 411 citations Amy S. Clark, Julia Tchou et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Julia Tchou United States	38	2.8k	1.9k	1.9k	964	850	135	6.2k
William G. Cance United States	55	4.2k 1.5×	2.9k 1.5×	1.8k 0.9×	807 0.8×	787 0.9×	174	9.2k
Rainer Kimmig Germany	52	2.2k 0.8×	3.6k 1.9×	2.3k 1.2×	1.5k 1.6×	862 1.0×	402	10.3k
Nicolás André France	50	4.1k 1.5×	2.8k 1.4×	1.8k 0.9×	529 0.5×	470 0.6×	264	8.6k
Amit Maity United States	45	3.4k 1.2×	2.7k 1.4×	1.9k 1.0×	487 0.5×	572 0.7×	153	7.2k
Haitao Zhao China	43	3.3k 1.2×	2.2k 1.2×	2.7k 1.4×	1.6k 1.7×	502 0.6×	359	8.0k
Christian Ingvar Sweden	48	2.0k 0.7×	3.9k 2.0×	1.8k 0.9×	624 0.6×	430 0.5×	221	7.3k
Jian Huang China	47	3.1k 1.1×	2.3k 1.2×	2.0k 1.0×	832 0.9×	362 0.4×	242	7.0k
Rebecca Aft United States	40	1.2k 0.4×	2.3k 1.2×	1.7k 0.9×	837 0.9×	486 0.6×	122	5.1k
Rosamonde E. Banks United Kingdom	51	5.1k 1.8×	1.5k 0.8×	1.6k 0.8×	1.1k 1.1×	485 0.6×	162	8.8k
Thomas Rutherford United States	46	2.9k 1.1×	2.4k 1.2×	1.4k 0.7×	838 0.9×	335 0.4×	195	7.9k

Countries citing papers authored by Julia Tchou

Since Specialization

Citations

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

Fields of papers citing papers by Julia Tchou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Tchou

This figure shows the co-authorship network connecting the top 25 collaborators of Julia Tchou. A scholar is included among the top collaborators of Julia Tchou 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 Julia Tchou. Julia Tchou 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:

20 of 20 papers shown

Yoon, In‐Soo, Leisha C. Elmore, Margaret S. Pichardo, et al.. (2025). Association of Neighborhood Deprivation with Stage at Diagnosis and Treatment Delay for Breast Cancer in Philadelphia. Annals of Surgical Oncology. 32(8). 5500–5509.

Berkowitz, Cara, Rachel P. Berger, Leisha C. Elmore, et al.. (2025). The Effect of Rurality on Time to Surgery and Overall Survival among Women with Breast Cancer. Annals of Surgery.

Tchou, Julia, Sara J. Venters, Ronald Balassanian, et al.. (2024). Change in Biomarker Profile After Neoadjuvant Chemotherapy is Prognostic and Common Among Patients with HER2+ Breast Cancer. Annals of Surgical Oncology. 31(12). 8093–8101. 1 indexed citations

Iwai, Yoshiko, Samantha M. Thomas, Audree B. Tadros, et al.. (2024). Guideline-Concordant Surgical Care for Lobular Versus Ductal Inflammatory Breast Cancer. Annals of Surgical Oncology. 31(9). 5929–5936. 1 indexed citations

Keele, Luke, et al.. (2024). Longitudinal Increases in Time to Surgery for Patients with Breast Cancer: A National Cohort Study. Annals of Surgical Oncology. 31(10). 6804–6811.

Berkowitz, Cara, Leisha C. Elmore, Rachel A. Greenup, et al.. (2024). Association Between Delayed/Forgone Medical Care and Resource Utilization Among Women with Breast Cancer in the United States. Annals of Surgical Oncology. 32(4). 2534–2544. 1 indexed citations

Elmore, Leisha C., Gary M. Freedman, Rachel C. Jankowitz, et al.. (2023). Temporal Trends and Factors Associated with Receipt of Post-mastectomy Radiation After Neoadjuvant Chemotherapy in Women with cT3 Breast Cancer. Annals of Surgical Oncology. 30(11). 6506–6515.

Güth, Robert, Megan J. Agajanian, Tuan M. Nguyen, et al.. (2021). A SNAI2-PEAK1-INHBA stromal axis drives progression and lapatinib resistance in HER2-positive breast cancer by supporting subpopulations of tumor cells positive for antiapoptotic and stress signaling markers. Oncogene. 40(33). 5224–5235. 21 indexed citations

Nazarian, Susanna M., Fei Xie, Amy S. Clark, et al.. (2020). Refining the indications for neoadjuvant chemotherapy for patients with HER2+ breast cancer: A single institution experience. Journal of Surgical Oncology. 121(3). 447–455. 6 indexed citations

10.

Kennedy, Gregory T., Christine Hill, Alycia So, et al.. (2019). Enhanced recovery after surgery (ERAS) protocol reduces perioperative narcotic requirement and length of stay in patients undergoing mastectomy with implant-based reconstruction. The American Journal of Surgery. 220(1). 147–152. 38 indexed citations

11.

Williams, Austin D., Leslie A. Lange, Alycia So, et al.. (2018). The impact of aspirin use on breast cancer subtype and clinical course. Journal of Surgical Research. 230. 71–79. 8 indexed citations

12.

Williams, Austin D., et al.. (2018). Is Age Trumping Genetic Profiling in Clinical Practice? Relationship of Chemotherapy Recommendation and Oncotype DX Recurrence Score in Patients Aged < 50 Years versus ≥ 50 Years, and Trends Over Time. Annals of Surgical Oncology. 25(10). 2875–2883. 13 indexed citations

13.

Gershuni, Victoria M., Leslie A. Lange, Austin D. Williams, et al.. (2017). Breast cancer subtype distribution is different in normal weight, overweight, and obese women. Breast Cancer Research and Treatment. 163(2). 375–381. 37 indexed citations

14.

Svoronos, Nikolaos, Alfredo Perales‐Puchalt, Michael J. Allegrezza, et al.. (2016). Tumor Cell–Independent Estrogen Signaling Drives Disease Progression through Mobilization of Myeloid-Derived Suppressor Cells. Cancer Discovery. 7(1). 72–85. 152 indexed citations

15.

Perales‐Puchalt, Alfredo, Nikolaos Svoronos, Melanie R. Rutkowski, et al.. (2016). Follicle-Stimulating Hormone Receptor Is Expressed by Most Ovarian Cancer Subtypes and Is a Safe and Effective Immunotherapeutic Target. Clinical Cancer Research. 23(2). 441–453. 82 indexed citations

16.

Chung, So Hyun, Michael D. Feldman, Daniel Martínez, et al.. (2015). Macroscopic optical physiological parameters correlate with microscopic proliferation and vessel area breast cancer signatures. Breast Cancer Research. 17(1). 72–72. 21 indexed citations

17.

Fracol, Megan, Shuwen Xu, Rosemarie Mick, et al.. (2013). Response to HER-2 Pulsed DC1 Vaccines is Predicted by Both HER-2 and Estrogen Receptor Expression in DCIS. Annals of Surgical Oncology. 20(10). 3233–3239. 27 indexed citations

18.

Tchou, Julia, Panpan Zhang, Yue Bi, et al.. (2011). P1-03-09: Significance of FAP, SMA and CD31 Expression in the Stroma of Breast Cancer.. Cancer Research. 71(24_Supplement). P1–3. 1 indexed citations

19.

Tchou, Julia, Seema S. Sonnad, Meredith Bergey, et al.. (2009). Degree of Tumor FDG Uptake Correlates with Proliferation Index in Triple Negative Breast Cancer. Molecular Imaging and Biology. 12(6). 657–662. 67 indexed citations

20.

Basu, Sandip, Wengen Chen, Julia Tchou, et al.. (2007). Comparison of triple‐negative and estrogen receptor‐positive/progesterone receptor‐positive/HER2‐negative breast carcinoma using quantitative fluorine‐18 fluorodeoxyglucose/positron emission tomography imaging parameters. Cancer. 112(5). 995–1000. 194 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.

Explore authors with similar magnitude of impact