Maria C. Katapodi

4.6k total citations · 1 hit paper
71 papers, 3.3k citations indexed

About

Maria C. Katapodi is a scholar working on Genetics, Oncology and Sociology and Political Science. According to data from OpenAlex, Maria C. Katapodi has authored 71 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Genetics, 29 papers in Oncology and 17 papers in Sociology and Political Science. Recurrent topics in Maria C. Katapodi's work include BRCA gene mutations in cancer (41 papers), Global Cancer Incidence and Screening (16 papers) and Family Support in Illness (12 papers). Maria C. Katapodi is often cited by papers focused on BRCA gene mutations in cancer (41 papers), Global Cancer Incidence and Screening (16 papers) and Family Support in Illness (12 papers). Maria C. Katapodi collaborates with scholars based in United States, Switzerland and South Korea. Maria C. Katapodi's co-authors include Laurel Northouse, Noreen C. Facione, Marylin J. Dodd, Lixin Song, Darlene Mood, Lingling Zhang, Ann Schafenacker, Hyojin Yoon, Katrina R. Ellis and Trace Kershaw and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Social Science & Medicine.

In The Last Decade

Maria C. Katapodi

69 papers receiving 3.2k citations

Hit Papers

Interventions with Family Caregivers of Cancer Patients: ... 2010 2026 2015 2020 2010 200 400 600
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.

  1. Interventions with Family Caregivers of Cancer Patients: Meta-Analysis of Randomized Trials
    2010 672 citations Laurel Northouse, Maria C. Katapodi et al. profile →

Peers

Maria C. Katapodi
Kristi D. Graves United States
Vanessa B. Sheppard United States
Lidia Schapira United States
Celia P. Kaplan United States
Karen M. Emmons United States
Kate Brain United Kingdom
Elizabeth Lobb Australia
Andrea Altschuler United States
Carolyn Y. Fang United States
Lois C. Friedman United States
Kristi D. Graves United States
Maria C. Katapodi
Citations per year, relative to Maria C. Katapodi Maria C. Katapodi (= 1×) peers Kristi D. Graves

Countries citing papers authored by Maria C. Katapodi

Since Specialization
Citations

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

Fields of papers citing papers by Maria C. Katapodi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria C. Katapodi. 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 Maria C. Katapodi. The network helps show where Maria C. Katapodi may publish in the future.

Co-authorship network of co-authors of Maria C. Katapodi

This figure shows the co-authorship network connecting the top 25 collaborators of Maria C. Katapodi. A scholar is included among the top collaborators of Maria C. Katapodi 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 Maria C. Katapodi. Maria C. Katapodi 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
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Zufferey, Maria Caiata, et al.. (2024). Modes of responsibility in disclosing cancer genetic test results to relatives: An analysis of Swiss and Korean narrative data. Patient Education and Counseling. 123. 108202–108202. 1 indexed citations
3.
Crape, Byron, et al.. (2024). Challenges of palliative care identified by stakeholders in resource-limited settings: A multi-regional study in Kazakhstan. Journal of Cancer Policy. 40. 100474–100474. 1 indexed citations
4.
Afaya, Agani, Sung‐Won Kim, Hyung Seok Park, et al.. (2024). Psychosocial barriers and facilitators for cascade genetic testing in hereditary breast and ovarian cancer: a scoping review. Familial Cancer. 23(2). 121–132. 7 indexed citations
5.
Crape, Byron, et al.. (2023). Cost-Effectiveness of Hospice Palliative Care for Patients With Cancer and Family Caregivers: A Multicenter Study in Kazakhstan. Value in Health Regional Issues. 38. 69–76. 2 indexed citations
6.
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Connor, Stephen R., et al.. (2023). Challenges for Developing Palliative Care Services in Resource- Limited Settings of Kazakhstan. Public health reviews. 44. 1605672–1605672. 4 indexed citations
8.
Vetter, Marcus, Helen Koechlin, Steven M. Paul, et al.. (2022). Pre-Surgery Demographic, Clinical, and Symptom Characteristics Associated with Different Self-Reported Cognitive Processes in Patients with Breast Cancer. Cancers. 14(13). 3281–3281. 8 indexed citations
9.
Vetter, Marcus, Helen Koechlin, Yvette P. Conley, et al.. (2022). Distinct Cognitive Function Profiles Are Associated With a Higher Presurgery Symptom Burden in Patients With Breast Cancer. Cancer Nursing. 46(4). E208–E217. 2 indexed citations
10.
Köhler, Carmen, Chang Ming, Marcus Vetter, et al.. (2020). Changes in Attentional Function in Patients From Before Through 12 Months After Breast Cancer Surgery. Journal of Pain and Symptom Management. 59(6). 1172–1185. 9 indexed citations
11.
Visvanathan, Kala, Carol J. Fabian, Elissa Bantug, et al.. (2019). Use of Endocrine Therapy for Breast Cancer Risk Reduction: ASCO Clinical Practice Guideline Update. Journal of Clinical Oncology. 37(33). 3152–3165. 117 indexed citations
12.
Katapodi, Maria C., Miyeon Jung, Ann Schafenacker, et al.. (2018). Development of a Web-based Family Intervention for BRCA Carriers and Their Biological Relatives: Acceptability, Feasibility, and Usability Study. JMIR Cancer. 4(1). e7–e7. 18 indexed citations
13.
Nikolaidis, Christos, Debra Duquette, Beth Anderson, et al.. (2018). Disparities in genetic services utilization in a random sample of young breast cancer survivors. Genetics in Medicine. 21(6). 1363–1370. 38 indexed citations
14.
Hickey, Kathleen T., et al.. (2018). Nursing genetics and genomics: The International Society of Nurses in Genetics (ISONG) survey. Nurse Education Today. 63. 12–17. 24 indexed citations
15.
Northouse, Laurel, Ann Schafenacker, Maria C. Katapodi, et al.. (2014). A Tailored Web-Based Psychoeducational Intervention for Cancer Patients and Their Family Caregivers. Cancer Nursing. 37(5). 321–330. 117 indexed citations
16.
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Katapodi, Maria C., Laurel Northouse, Kara J. Milliron, Guipeng Liu, & Sofía D. Merajver. (2012). Individual and family characteristics associated with BRCA1/2 genetic testing in high‐risk families. Psycho-Oncology. 22(6). 1336–1343. 22 indexed citations
18.
Northouse, Laurel, et al.. (2012). The Impact of Caregiving on the Psychological Well-Being of Family Caregivers and Cancer Patients. Seminars in Oncology Nursing. 28(4). 236–245. 324 indexed citations
19.
Katapodi, Maria C., Penny F. Pierce, & Noreen C. Facione. (2010). Distrust, predisposition to use health services and breast cancer screening: Results from a multicultural community-based survey. International Journal of Nursing Studies. 47(8). 975–983. 35 indexed citations
20.
Katapodi, Maria C., Noreen C. Facione, Janice Humphreys, & Marylin J. Dodd. (2004). Perceived breast cancer risk: heuristic reasoning and search for a dominance structure. Social Science & Medicine. 60(2). 421–432. 41 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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