Clara N. Lee

2.5k total citations
78 papers, 1.8k citations indexed

About

Clara N. Lee is a scholar working on Surgery, Oncology and General Health Professions. According to data from OpenAlex, Clara N. Lee has authored 78 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Surgery, 25 papers in Oncology and 23 papers in General Health Professions. Recurrent topics in Clara N. Lee's work include Breast Implant and Reconstruction (24 papers), Patient-Provider Communication in Healthcare (17 papers) and Reconstructive Surgery and Microvascular Techniques (16 papers). Clara N. Lee is often cited by papers focused on Breast Implant and Reconstruction (24 papers), Patient-Provider Communication in Healthcare (17 papers) and Reconstructive Surgery and Microvascular Techniques (16 papers). Clara N. Lee collaborates with scholars based in United States, Malawi and Norway. Clara N. Lee's co-authors include C. Scott Hultman, Karen Sepucha, Eric G. Halvorson, Jeffrey Belkora, Beverly Moy, Yuchiao Chang, Andrea L. Pusic, Racquel E. Kohler, Satish Gopal and Ann H. Partridge and has published in prestigious journals such as JAMA, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Clara N. Lee

71 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Clara N. Lee United States 25 738 511 421 364 348 78 1.8k
Phil Hider New Zealand 18 505 0.7× 320 0.6× 169 0.4× 304 0.8× 164 0.5× 43 1.5k
Jan Norum Norway 25 246 0.3× 879 1.7× 256 0.6× 320 0.9× 172 0.5× 129 1.9k
Francesco Esperto Italy 23 1.0k 1.4× 721 1.4× 384 0.9× 274 0.8× 137 0.4× 152 2.5k
Ronan W. Glynn Ireland 21 307 0.4× 323 0.6× 212 0.5× 240 0.7× 341 1.0× 44 1.6k
Anaeze C. Offodile United States 22 947 1.3× 369 0.7× 253 0.6× 265 0.7× 218 0.6× 108 1.9k
Alexander P. Cole United States 26 773 1.0× 647 1.3× 297 0.7× 198 0.5× 64 0.2× 154 2.3k
Paul Abrahamse United States 29 504 0.7× 824 1.6× 340 0.8× 337 0.9× 663 1.9× 86 2.4k
Ryan J. Ellis United States 21 359 0.5× 232 0.5× 651 1.5× 595 1.6× 166 0.5× 64 1.8k
Kristin M. Sheffield United States 27 682 0.9× 876 1.7× 212 0.5× 209 0.6× 138 0.4× 75 1.9k
Benjamin W. Lamb United Kingdom 28 631 0.9× 773 1.5× 829 2.0× 683 1.9× 132 0.4× 121 2.7k

Countries citing papers authored by Clara N. Lee

Since Specialization
Citations

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

Fields of papers citing papers by Clara N. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Clara N. Lee. 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 Clara N. Lee. The network helps show where Clara N. Lee may publish in the future.

Co-authorship network of co-authors of Clara N. Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Clara N. Lee. A scholar is included among the top collaborators of Clara N. Lee 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 Clara N. Lee. Clara N. Lee 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.
Johnson, Anna Rose, Clara N. Lee, Gary B. Skolnick, et al.. (2025). Social Media as a Platform for Cancer Care Decision-Making Among Women: Internet Survey-Based Study on Trust, Engagement, and Preferences. JMIR Cancer. 11. e64724–e64724.
2.
Toland, Amanda Ewart, Carolyn J. Presley, Heather L. Hampel, et al.. (2024). A video intervention to improve patient understanding of tumor genomic testing in patients with cancer. Cancer Medicine. 13(17). e70095–e70095.
3.
Lee, Clara N., Terence M. Myckatyn, Margaret A. Olsen, et al.. (2024). Financial Toxicity Considerations in Breast Reconstruction: Recommendations for Research and Practice. Women s Health Issues. 34(2). 107–114. 3 indexed citations
4.
Arthur, Elizabeth, et al.. (2024). Scoping review of experiences of sexual minority women treated for breast cancer. Journal of Psychosocial Oncology. 42(5). 709–732.
5.
Bloom, Diane, Stephanie B. Wheeler, Kandace P. McGuire, et al.. (2023). Contralateral Prophylactic Mastectomy Decision-Making: The Partners’ Perspective. Annals of Surgical Oncology. 30(10). 6268–6274. 1 indexed citations
6.
Rayo, Michael F., et al.. (2022). Development of a Mobile App for Clinical Research: Challenges and Implications for Investigators. JMIR mhealth and uhealth. 10(4). e32244–e32244. 7 indexed citations
7.
Shammas, Ronnie L., Laura J. Fish, Amanda R. Sergesketter, et al.. (2021). Dissatisfaction After Post-Mastectomy Breast Reconstruction: A Mixed-Methods Study. Annals of Surgical Oncology. 29(2). 1109–1119. 18 indexed citations
9.
Selber, Jesse C., et al.. (2020). Current Practice and Perceptions Regarding Cost Communication in Breast Cancer Reconstruction: Survey Results of the American Society of Plastic Surgeons. Annals of Surgical Oncology. 28(1). 376–385. 8 indexed citations
10.
Sepucha, Karen, Aisha T. Langford, Jeffrey Belkora, et al.. (2019). Impact of Timing on Measurement of Decision Quality and Shared Decision Making: Longitudinal Cohort Study of Breast Cancer Patients. Medical Decision Making. 39(6). 642–650. 12 indexed citations
11.
Myckatyn, Terence M., et al.. (2018). Importance of Shared Decision-Making for Vulnerable Populations: Examples from Postmastectomy Breast Reconstruction. Health Equity. 2(1). 234–238. 27 indexed citations
12.
Gutnik, Lily, et al.. (2016). From Community Laywomen to Breast Health Workers: A Pilot Training Model to Implement Clinical Breast Exam Screening in Malawi. PLoS ONE. 11(3). e0151389–e0151389. 15 indexed citations
13.
Hultman, C. Scott, Sendia Kim, Clara N. Lee, et al.. (2016). Implementation and Analysis of a Lean Six Sigma Program in Microsurgery to Improve Operative Throughput in Perforator Flap Breast Reconstruction. Annals of Plastic Surgery. 76(Supplement 4). S352–S356. 21 indexed citations
14.
Milucky, Jennifer, Allison M. Deal, Carey K. Anders, et al.. (2016). Coordination of Care for Breast Reconstruction Patients: A Provider Survey. Clinical Breast Cancer. 17(2). e59–e64. 3 indexed citations
15.
Kohler, Racquel E., et al.. (2016). “Life is at a standstill” Quality of life after lower extremity trauma in Malawi. Quality of Life Research. 26(4). 1027–1035. 33 indexed citations
16.
Kohler, Racquel E., Clara N. Lee, Satish Gopal, et al.. (2015). Developing a discrete choice experiment in Malawi: eliciting preferences for breast cancer early detection services. Patient Preference and Adherence. 9. 1459–1459. 11 indexed citations
17.
Clayton, John L., et al.. (2012). Once Is Not Enough. Plastic & Reconstructive Surgery. 130(3). 495–502. 96 indexed citations
18.
Lee, Clara N., Rosalie Dominik, Carrie A. Levin, et al.. (2010). Development of instruments to measure the quality of breast cancer treatment decisions. Health Expectations. 13(3). 258–272. 51 indexed citations
19.
Lee, Clara N., C. Scott Hultman, & Karen Sepucha. (2010). Do Patients and Providers Agree About the Most Important Facts and Goals for Breast Reconstruction Decisions?. Annals of Plastic Surgery. 64(5). 563–566. 61 indexed citations
20.
Allegra, Carmen J., Denise R. Aberle, Pamela Ganschow, et al.. (2009). NIH state-of-the-science conference statement: diagnosis and management of ductal carcinoma in situ (DCIS).. PubMed. 26(2). 1–27. 61 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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