Abigail S. Caudle

6.0k total citations · 1 hit paper
107 papers, 3.5k citations indexed

About

Abigail S. Caudle is a scholar working on Cancer Research, Surgery and Pathology and Forensic Medicine. According to data from OpenAlex, Abigail S. Caudle has authored 107 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Cancer Research, 60 papers in Surgery and 52 papers in Pathology and Forensic Medicine. Recurrent topics in Abigail S. Caudle's work include Breast Cancer Treatment Studies (79 papers), Breast Lesions and Carcinomas (51 papers) and Breast Implant and Reconstruction (45 papers). Abigail S. Caudle is often cited by papers focused on Breast Cancer Treatment Studies (79 papers), Breast Lesions and Carcinomas (51 papers) and Breast Implant and Reconstruction (45 papers). Abigail S. Caudle collaborates with scholars based in United States, United Kingdom and Netherlands. Abigail S. Caudle's co-authors include Henry M. Kuerer, Kelly K. Hunt, Elizabeth A. Mittendorf, Isabelle Bedrosian, Rosa F. Hwang, Benjamin D. Smith, Gildy V. Babiera, Savitri Krishnamurthy, Wei Yang and Sarah M. DeSnyder and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Abigail S. Caudle

106 papers receiving 3.4k 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.

Improved Axillary Evaluation Following Neoadjuvant Therapy for Patients With Node-Positive Breast Cancer Using Selective Evaluation of Clipped Nodes: Implementation of Targeted Axillary Dissection

2016 578 citations Abigail S. Caudle, Wei Yang et al. Journal of Clinical Oncology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Abigail S. Caudle United States	32	2.7k	1.9k	1.6k	1.3k	307	107	3.5k
Peter Blumencranz United States	17	3.3k 1.2×	2.4k 1.3×	1.9k 1.2×	1.5k 1.1×	318 1.0×	38	4.0k
Claude Nos France	32	2.8k 1.1×	1.5k 0.8×	2.6k 1.6×	1.2k 0.9×	243 0.8×	95	4.0k
Jane V. Fey United States	34	3.3k 1.2×	2.6k 1.4×	2.1k 1.3×	1.2k 0.9×	264 0.9×	46	4.1k
Thomas G. Frazier United States	18	2.3k 0.9×	1.7k 0.9×	1.5k 0.9×	1.0k 0.8×	255 0.8×	50	3.1k
Simona F. Shaitelman United States	29	2.5k 0.9×	1.2k 0.7×	1.1k 0.7×	1.6k 1.2×	593 1.9×	167	3.8k
Miklós Kásler Hungary	24	1.7k 0.6×	1.0k 0.5×	908 0.6×	833 0.6×	359 1.2×	173	2.8k
Kambiz Dowlatshahi United States	27	2.8k 1.0×	2.3k 1.2×	1.6k 1.0×	1.1k 0.8×	379 1.2×	69	4.0k
V Evans United Kingdom	3	2.9k 1.1×	1.3k 0.7×	935 0.6×	1.4k 1.1×	577 1.9×	5	3.8k
Leslie L. Montgomery United States	23	2.0k 0.7×	1.5k 0.8×	1.2k 0.8×	861 0.6×	144 0.5×	45	2.8k
W.J. Hoogenraad Netherlands	17	2.2k 0.8×	1.2k 0.6×	843 0.5×	963 0.7×	327 1.1×	23	2.8k

Countries citing papers authored by Abigail S. Caudle

Since Specialization

Citations

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

Fields of papers citing papers by Abigail S. Caudle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Abigail S. Caudle. 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 Abigail S. Caudle. The network helps show where Abigail S. Caudle may publish in the future.

Co-authorship network of co-authors of Abigail S. Caudle

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

All Works

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20 of 20 papers shown

Wanis, Kerollos Nashat, Wenli Dong, Yu Shen, et al.. (2025). Predicting pathologic ≥N2 disease in women with breast cancer. npj Breast Cancer. 11(1). 46–46. 2 indexed citations

Loveland‐Jones, Catherine, John P. Gaughan, Abigail S. Caudle, et al.. (2024). Evaluation of traditional targeted axillary dissection eligibility criteria for node-positive breast cancer after neoadjuvant chemotherapy in a prospective multicenter registry. European Journal of Surgical Oncology. 50(4). 108245–108245. 2 indexed citations

Diao, Kevin, Xiudong Lei, Weiguo He, et al.. (2023). Racial and Ethnic Differences in Long-Term Adverse Radiation Therapy Effects Among Breast Cancer Survivors. International Journal of Radiation Oncology*Biology*Physics. 118(3). 626–631. 5 indexed citations

Elmore, Leisha C., Henry M. Kuerer, Carlos H. Bárcenas, et al.. (2021). Clinical Course of Breast Cancer Patients with Local-Regional Progression During Neoadjuvant Systemic Therapy. Annals of Surgical Oncology. 28(10). 5477–5485. 3 indexed citations

Cynthia, X., Vera J. Suman, A. Marilyn Leitch, et al.. (2020). ALTERNATE: Neoadjuvant endocrine treatment (NET) approaches for clinical stage II or III estrogen receptor-positive HER2-negative breast cancer (ER+ HER2- BC) in postmenopausal (PM) women: Alliance A011106.. Journal of Clinical Oncology. 38(15_suppl). 504–504. 27 indexed citations

Davis, John M., et al.. (2020). Performance and Clinical Utility of Models Predicting Eradication of Nodal Disease in Patients with Clinically Node-Positive Breast Cancer Treated with Neoadjuvant Chemotherapy by Tumor Biology. Annals of Surgical Oncology. 27(12). 4678–4686. 2 indexed citations

Singh, Puneet, Marion E. Scoggins, Ayşegül A. Şahin, et al.. (2020). Effectiveness and Safety of Magseed Localization for Excision of Breast Lesions. SHILAP Revista de lepidopterología. 1(2). e008–e008. 18 indexed citations

Lim, Bora, Juhee Song, Nuhad K. Ibrahim, et al.. (2020). A Randomized Phase II Study of Sequential Eribulin Versus Paclitaxel Followed by FAC/FEC as Neoadjuvant Therapy in Patients with Operable HER2-Negative Breast Cancer. The Oncologist. 26(2). e230–e240. 5 indexed citations

Park, Ko Un, Min Yi, Isabelle Bedrosian, et al.. (2019). Opioid Use after Breast-Conserving Surgery: Prospective Evaluation of Risk Factors for High Opioid Use. Annals of Surgical Oncology. 27(3). 730–735. 13 indexed citations

10.

Park, Ko Un, Min Yi, Abigail S. Caudle, et al.. (2019). Surgeon perception versus reality: Opioid use after breast cancer surgery. Journal of Surgical Oncology. 119(7). 909–915. 18 indexed citations

11.

Weiss, Anna, Heather Lin, Gildy V. Babiera, et al.. (2019). Evolution in practice patterns of axillary management following mastectomy in patients with 1–2 positive sentinel nodes. Breast Cancer Research and Treatment. 176(2). 435–444. 21 indexed citations

12.

Stecklein, Shane R., Minjeong Park, Diane D. Liu, et al.. (2018). Long-Term Impact of Regional Nodal Irradiation in Patients With Node-Positive Breast Cancer Treated With Neoadjuvant Systemic Therapy. International Journal of Radiation Oncology*Biology*Physics. 102(3). 568–577. 14 indexed citations

13.

Tevis, Sarah, Isabelle Bedrosian, Dalliah M. Black, et al.. (2018). OncotypeDX Recurrence Score Does Not Predict Nodal Burden in Clinically Node Negative Breast Cancer Patients. Annals of Surgical Oncology. 26(3). 815–820. 9 indexed citations

14.

Tadros, Audree B., Wei Yang, Savitri Krishnamurthy, et al.. (2017). Identification of Patients With Documented Pathologic Complete Response in the Breast After Neoadjuvant Chemotherapy for Omission of Axillary Surgery. JAMA Surgery. 152(7). 665–665. 131 indexed citations

15.

Weiss, Anna, Elizabeth A. Mittendorf, Sarah M. DeSnyder, et al.. (2017). Expanding Implementation of ACOSOG Z0011 in Surgeon Practice. Clinical Breast Cancer. 18(4). 276–281. 25 indexed citations

16.

Sanford, Rachel, Xiudong Lei, Carlos H. Bárcenas, et al.. (2015). Impact of Time from Completion of Neoadjuvant Chemotherapy to Surgery on Survival Outcomes in Breast Cancer Patients. Annals of Surgical Oncology. 23(5). 1515–1521. 84 indexed citations

17.

Rauch, Gaiane M., Brian P. Hobbs, Henry M. Kuerer, et al.. (2015). Microcalcifications in 1657 Patients with Pure Ductal Carcinoma in Situ of the Breast: Correlation with Clinical, Histopathologic, Biologic Features, and Local Recurrence. Annals of Surgical Oncology. 23(2). 482–489. 47 indexed citations

18.

Francis, Ashleigh M., Christine E. Haugen, Min Yi, et al.. (2015). Is Sentinel Lymph Node Dissection Warranted for Patients with a Diagnosis of Ductal Carcinoma In Situ?. Annals of Surgical Oncology. 22(13). 4270–4279. 48 indexed citations

19.

Ollila, David W. & Abigail S. Caudle. (2006). Surgical Management of Distant Metastases. Surgical Oncology Clinics of North America. 15(2). 385–398. 20 indexed citations

20.

Ollila, David W., Abigail S. Caudle, William G. Cance, et al.. (2006). Successful minimally invasive parathyroidectomy for primary hyperparathyroidism without using intraoperative parathyroid hormone assays. The American Journal of Surgery. 191(1). 52–56. 34 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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