Eva M. Lepisto

3.6k total citations
28 papers, 1.0k citations indexed

About

Eva M. Lepisto is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine. According to data from OpenAlex, Eva M. Lepisto 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 Oncology, 9 papers in Pulmonary and Respiratory Medicine and 8 papers in Pathology and Forensic Medicine. Recurrent topics in Eva M. Lepisto's work include Economic and Financial Impacts of Cancer (6 papers), Lymphoma Diagnosis and Treatment (6 papers) and Breast Cancer Treatment Studies (5 papers). Eva M. Lepisto is often cited by papers focused on Economic and Financial Impacts of Cancer (6 papers), Lymphoma Diagnosis and Treatment (6 papers) and Breast Cancer Treatment Studies (5 papers). Eva M. Lepisto collaborates with scholars based in United States and Canada. Eva M. Lepisto's co-authors include Jane C. Weeks, Deborah Schrag, Rodney Clark, Cheryl A. Armstead, Norman B. Anderson, Elwood Robinson, Maya McNeilly, Carl F. Pieper, Stephen B. Edge and Michael J. Hassett and has published in prestigious journals such as Journal of Clinical Oncology, Blood and JNCI Journal of the National Cancer Institute.

In The Last Decade

Eva M. Lepisto

27 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
Eva M. Lepisto United States 12 365 240 229 174 159 28 1.0k
Jennifer T. Loud United States 19 430 1.2× 132 0.6× 263 1.1× 173 1.0× 138 0.9× 45 1.6k
Elissa Bantug United States 15 813 2.2× 119 0.5× 357 1.6× 181 1.0× 100 0.6× 23 1.5k
Elaine Anderson United Kingdom 17 385 1.1× 135 0.6× 332 1.4× 129 0.7× 78 0.5× 32 1.0k
Julian Sanchez United States 20 715 2.0× 375 1.6× 192 0.8× 190 1.1× 81 0.5× 56 1.9k
Deanna J. Attai United States 22 325 0.9× 127 0.5× 317 1.4× 192 1.1× 58 0.4× 58 1.3k
Ashley Stuckey United States 25 648 1.8× 343 1.4× 454 2.0× 86 0.5× 195 1.2× 85 1.9k
Harald Weedon‐Fekjær Norway 22 864 2.4× 93 0.4× 242 1.1× 101 0.6× 75 0.5× 64 1.8k
Nora Pashayan United Kingdom 25 811 2.2× 139 0.6× 186 0.8× 79 0.5× 116 0.7× 104 2.1k
Marian B. E. Menke‐Pluijmers Netherlands 22 342 0.9× 171 0.7× 370 1.6× 116 0.7× 75 0.5× 47 1.0k
Katherine E Henson United Kingdom 14 448 1.2× 62 0.3× 217 0.9× 53 0.3× 127 0.8× 18 1.1k

Countries citing papers authored by Eva M. Lepisto

Since Specialization
Citations

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

Fields of papers citing papers by Eva M. Lepisto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva M. Lepisto. 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 Eva M. Lepisto. The network helps show where Eva M. Lepisto may publish in the future.

Co-authorship network of co-authors of Eva M. Lepisto

This figure shows the co-authorship network connecting the top 25 collaborators of Eva M. Lepisto. A scholar is included among the top collaborators of Eva M. Lepisto 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 Eva M. Lepisto. Eva M. Lepisto 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
2.
Kehl, Kenneth L., Stefan Groha, Eva M. Lepisto, et al.. (2021). Clinical Inflection Point Detection on the Basis of EHR Data to Identify Clinical Trial–Ready Patients With Cancer. JCO Clinical Cancer Informatics. 5(5). 622–630. 12 indexed citations
3.
Lavery, Jessica A., Samantha Brown, Gregory J. Riely, et al.. (2021). Pan-cancer evaluation of homologous repair deficiency somatic mutations and response to first-line anti-neoplastic therapy.. Journal of Clinical Oncology. 39(15_suppl). 10535–10535. 1 indexed citations
4.
Vandergrift, Jonathan L., et al.. (2012). Influential Factors for Post-Fellowship Career Decision-Making: An NCCN Survey. Journal of the National Comprehensive Cancer Network. 10(8). 969–974. 6 indexed citations
5.
Vandergrift, Jonathan L., Joyce C. Niland, Richard L. Theriault, et al.. (2012). Time to Adjuvant Chemotherapy for Breast Cancer in National Comprehensive Cancer Network Institutions. JNCI Journal of the National Cancer Institute. 105(2). 104–112. 93 indexed citations
6.
LaCasce, Ann S., Jonathan L. Vandergrift, Maria Alma Rodriguez, et al.. (2012). Comparative outcome of initial therapy for younger patients with mantle cell lymphoma: an analysis from the NCCN NHL Database. Blood. 119(9). 2093–2099. 63 indexed citations
7.
Kumar, Anita, Ann Vanderplas, Ann S. LaCasce, et al.. (2011). Lack of benefit of central nervous system prophylaxis for diffuse large B‐cell lymphoma in the rituximab era. Cancer. 118(11). 2944–2951. 66 indexed citations
10.
Gallagher, Lindsay, et al.. (2009). NCCN Chemotherapy Order Templates: Enhancing patient safety through standardization. Journal of Clinical Oncology. 27(15_suppl). e17537–e17537. 1 indexed citations
11.
Kho, Michelle E., Eva M. Lepisto, Joyce C. Niland, et al.. (2008). Reliability of staging, prognosis, and comorbidity data collection in the National Comprehensive Cancer Network (NCCN) non‐Hodgkin lymphoma (NHL) multicenter outcomes database. Cancer. 113(11). 3209–3212. 10 indexed citations
12.
Desch, Christopher E., Kristen K. McNiff, Eric C. Schneider, et al.. (2008). American Society of Clinical Oncology/National Comprehensive Cancer Network Quality Measures. Journal of Clinical Oncology. 26(21). 3631–3637. 191 indexed citations
13.
Lepisto, Eva M., Joyce C. Niland, Richard L. Theriault, et al.. (2005). The addition of taxanes to adjuvant chemotherapy for lymph node positive (N+) early breast cancer (BC): Institutional practice variation in the National Comprehensive Cancer Network (NCCN). Journal of Clinical Oncology. 23(16_suppl). 654–654. 1 indexed citations
14.
Weinstein, Sharon M., Dorothy Romanus, Eva M. Lepisto, et al.. (2004). Documentation of Pain in Comprehensive Cancer Centers in the United States: A Preliminary Analysis. Journal of the National Comprehensive Cancer Network. 2(2). 173–180. 9 indexed citations
16.
Bookman, Michael A., et al.. (2003). Emergence of Sentinel Node Biopsy in Breast Cancer as Standard-of-Care in Academic Comprehensive Cancer Centers. JNCI Journal of the National Cancer Institute. 95(20). 1514–1521. 87 indexed citations
17.
McNeilly, Maya, Norman B. Anderson, Cheryl A. Armstead, et al.. (1996). The perceived racism scale: a multidimensional assessment of the experience of white racism among African Americans.. PubMed. 6(1-2). 154–66. 217 indexed citations
19.
Muto, Michael G., et al.. (1990). Human anti-murine antibody responses in ovarian cancer patients undergoing radioimmunotherapy with the murine monoclonal antibody OC-125. Gynecologic Oncology. 38(2). 244–248. 15 indexed citations
20.
Muto, Michael G., et al.. (1989). Influence of human antimurine antibody on CA 125 levels in patients with ovarian cancer undergoing radioimmunotherapy or immunoscintigraphy with murine monoclonal antibody OC 125. American Journal of Obstetrics and Gynecology. 161(5). 1206–1212. 25 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

Rankless by CCL
2026