Tamera J. Lillemoe

1.4k total citations
28 papers, 1.0k citations indexed

About

Tamera J. Lillemoe is a scholar working on Pathology and Forensic Medicine, Oncology and Cancer Research. According to data from OpenAlex, Tamera J. Lillemoe has authored 28 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pathology and Forensic Medicine, 11 papers in Oncology and 9 papers in Cancer Research. Recurrent topics in Tamera J. Lillemoe's work include Breast Cancer Treatment Studies (9 papers), Breast Lesions and Carcinomas (8 papers) and Urologic and reproductive health conditions (4 papers). Tamera J. Lillemoe is often cited by papers focused on Breast Cancer Treatment Studies (9 papers), Breast Lesions and Carcinomas (8 papers) and Urologic and reproductive health conditions (4 papers). Tamera J. Lillemoe collaborates with scholars based in United States, France and Canada. Tamera J. Lillemoe's co-authors include Pascual Abenoza, Paul E. Swanson, Mark R. Wick, J. Carlos Manivel, David T. Kiang, Theresa Perrone, Roberd M. Bostick, John D. Potter, Patricia M. Grambsch and Lisa Fosdick and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Oncology and JNCI Journal of the National Cancer Institute.

In The Last Decade

Tamera J. Lillemoe

28 papers receiving 998 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tamera J. Lillemoe United States 15 446 368 305 164 152 28 1.0k
Sue A. Bartow United States 18 406 0.9× 248 0.7× 298 1.0× 330 2.0× 104 0.7× 25 1.1k
Moshe Stein Israel 22 552 1.2× 468 1.3× 352 1.2× 84 0.5× 81 0.5× 103 1.5k
Neta Goldschmidt Israel 23 331 0.7× 154 0.4× 514 1.7× 86 0.5× 126 0.8× 97 1.4k
Necmettin Özdemir Türkiye 16 202 0.5× 218 0.6× 594 1.9× 317 1.9× 48 0.3× 65 1.1k
Shakil H. Merchant United States 16 251 0.6× 251 0.7× 218 0.7× 62 0.4× 49 0.3× 22 805
Miki Kushima Japan 21 278 0.6× 281 0.8× 128 0.4× 96 0.6× 53 0.3× 87 1.3k
David Ben‐Dor Israel 15 193 0.4× 208 0.6× 93 0.3× 197 1.2× 79 0.5× 48 908
Marco M. Altaras Israel 29 313 0.7× 151 0.4× 135 0.4× 141 0.9× 86 0.6× 108 2.2k
Ruth Achten Belgium 17 254 0.6× 116 0.3× 401 1.3× 55 0.3× 37 0.2× 34 1.1k
Herbert Stöger Austria 19 562 1.3× 259 0.7× 156 0.5× 158 1.0× 82 0.5× 68 1.1k

Countries citing papers authored by Tamera J. Lillemoe

Since Specialization
Citations

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

Fields of papers citing papers by Tamera J. Lillemoe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tamera J. Lillemoe. 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 Tamera J. Lillemoe. The network helps show where Tamera J. Lillemoe may publish in the future.

Co-authorship network of co-authors of Tamera J. Lillemoe

This figure shows the co-authorship network connecting the top 25 collaborators of Tamera J. Lillemoe. A scholar is included among the top collaborators of Tamera J. Lillemoe 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 Tamera J. Lillemoe. Tamera J. Lillemoe 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.
Allison, Kimberly H., David G. Hicks, Karen K. Swenson, et al.. (2021). HER2 Testing: Insights From Pathologists’ Perspective on Technically Challenging HER2 FISH Cases. Applied immunohistochemistry & molecular morphology. 29(9). 635–642. 2 indexed citations
2.
Lillemoe, Tamera J., et al.. (2021). HER2 Testing Characteristics Can Predict Residual Cancer Burden following Neoadjuvant Chemotherapy in HER2-Positive Breast Cancer. International Journal of Breast Cancer. 2021. 1–11. 2 indexed citations
3.
Tsai, Michaela L., et al.. (2020). Effects of Germline Pathogenic Variants, Cancer Subtypes, Tumor-related Characteristics, and Pregnancy-associated Diagnosis on Outcomes. Clinical Breast Cancer. 21(1). 47–56. 1 indexed citations
4.
Lillemoe, Tamera J., Michaela L. Tsai, Karen K. Swenson, et al.. (2018). Clinicopathologic analysis of a large series of microinvasive breast cancers. The Breast Journal. 24(4). 574–579. 15 indexed citations
5.
Lillemoe, Tamera J., et al.. (2017). Myofibroblastoma of the breast. Applied Radiology. 42–44. 2 indexed citations
6.
Susnik, Barbara, et al.. (2016). Surgical Outcomes of Lobular Neoplasia Diagnosed in Core Biopsy: Prospective Study of 316 Cases. Clinical Breast Cancer. 16(6). 507–513. 37 indexed citations
8.
Tsai, Michaela L., et al.. (2015). Utility of Oncotype DX Risk Assessment in Patients With Invasive Lobular Carcinoma. Clinical Breast Cancer. 16(1). 45–50. 35 indexed citations
9.
Tsai, Michaela L., et al.. (2014). Utility of Oncotype DX risk assessment in patients with invasive lobular carcinoma (ILC).. Journal of Clinical Oncology. 32(26_suppl). 28–28. 1 indexed citations
10.
Dunn, Daniel H., et al.. (2011). Pathologic Evaluation of Axillary Dissection Specimens Following Unexpected Identification of Tumor Within Sentinel Lymph Nodes. Archives of Pathology & Laboratory Medicine. 135(1). 131–134. 3 indexed citations
11.
Lillemoe, Tamera J., et al.. (2010). CHOROIDAL BIOPSY OF A PATIENT WITH AIDS AND SYSTEMIC TUBERCULOSIS: A CLINICOPATHOLOGIC CASE REPORT. Retinal Cases & Brief Reports. 5(3). 251–253. 2 indexed citations
12.
McCormick, Stanley R., et al.. (2002). HER2 Assessment by Immunohistochemical Analysis and Fluorescence In Situ Hybridization. American Journal of Clinical Pathology. 117(6). 935–943. 77 indexed citations
13.
Gulbahce, H. Evin, et al.. (1999). Metastatic Leydig cell tumor with sarcomatoid differentiation.. Archives of Pathology & Laboratory Medicine. 123(11). 1104–7. 11 indexed citations
14.
Bostick, Roberd M., Lisa Fosdick, Gregory Grandits, et al.. (1997). Colorectal epithelial cell proliferative kinetics and risk factors for colon cancer in sporadic adenoma patients.. PubMed. 6(12). 1011–9. 41 indexed citations
15.
George, Evan, Tamera J. Lillemoe, Leo B. Twiggs, & Theresa Perrone. (1995). Malignant Mixed Mullerian Tumor Versus High-Grade Endometrial Carcinoma and Aggressive Variants of Endometrial Carcinoma. International Journal of Gynecological Pathology. 14(1). 39–44. 73 indexed citations
16.
Bostick, Roberd M., Lisa Fosdick, Patricia M. Grambsch, et al.. (1995). Calcium and Colorectal Epithelial Cell Proliferation in Sporadic Adenoma Patients: a Randomized, Double- Blinded, Placebo-Controlled Clinical Trial. JNCI Journal of the National Cancer Institute. 87(17). 1307–1315. 101 indexed citations
17.
Abenoza, Pascual & Tamera J. Lillemoe. (1993). CD34 and Factor XIII a in the Differential Diagnosis of Dermatofibroma and Dermatofibrosarcoma Protuberans. American Journal of Dermatopathology. 15(5). 429–434. 143 indexed citations
18.
Swanson, Paul E., Guido Pettinato, Tamera J. Lillemoe, & Mark R. Wick. (1991). Gross cystic disease fluid protein-15 in salivary gland tumors.. PubMed. 115(2). 158–63. 28 indexed citations
19.
Swanson, Paul E., Tamera J. Lillemoe, J. Carlos Manivel, & Mark R. Wick. (1990). Mesenchymal chondrosarcoma. An immunohistochemical study.. PubMed. 114(9). 943–8. 43 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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