Tenbroeck Smith

1.2k total citations · 1 hit paper
8 papers, 850 citations indexed

About

Tenbroeck Smith is a scholar working on Sociology and Political Science, General Health Professions and Oncology. According to data from OpenAlex, Tenbroeck Smith has authored 8 papers receiving a total of 850 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Sociology and Political Science, 3 papers in General Health Professions and 3 papers in Oncology. Recurrent topics in Tenbroeck Smith's work include Cancer survivorship and care (3 papers), Family Support in Illness (3 papers) and Childhood Cancer Survivors' Quality of Life (2 papers). Tenbroeck Smith is often cited by papers focused on Cancer survivorship and care (3 papers), Family Support in Illness (3 papers) and Childhood Cancer Survivors' Quality of Life (2 papers). Tenbroeck Smith collaborates with scholars based in United States, United Kingdom and Australia. Tenbroeck Smith's co-authors include Luke J. Peppone, Ian R. Kleckner, Corinne R. Leach, David C. Mohr, Catherine M. Alfano, Karen M. Mustian, John Scarpato, Amber S. Kleckner, Suzanne M. Miller and Lisa K. Sprod and has published in prestigious journals such as Quality of Life Research, JAMA Oncology and Journal of Health Communication.

In The Last Decade

Tenbroeck Smith

8 papers receiving 826 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.

Comparison of Pharmaceutical, Psychological, and Exercise Treatments for Cancer-Related Fatigue

2017 570 citations Karen M. Mustian, Catherine M. Alfano et al. JAMA Oncology profile →

Peers

Tenbroeck Smith

ONCOL

PPCH

GHP

PRM

PHEOH

Kimberly Davis United States

Michal C. Moskowitz United States

Jan Koopmans Canada

Susanne Kuhnt Germany

Ellen H. Boesen Denmark

John Scarpato United States

Randi V. Karlsen Denmark

D. Storey United Kingdom

Kellie Toohey Australia

Jennifer A. Hansen United States

Kimberly Davis United States

Tenbroeck Smith

583 ×1.0

ONCOL

246 ×0.8

PPCH

138 ×0.7

GHP

307 ×1.6

PRM

103 ×0.6

PHEOH

Citations per year, relative to Tenbroeck Smith Tenbroeck Smith (= 1×) peers Kimberly Davis

Countries citing papers authored by Tenbroeck Smith

Since Specialization

Citations

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

Fields of papers citing papers by Tenbroeck Smith

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tenbroeck Smith. 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 Tenbroeck Smith. The network helps show where Tenbroeck Smith may publish in the future.

Co-authorship network of co-authors of Tenbroeck Smith

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Schover, Leslie R., Sara Strollo, Kevin Stein, Elizabeth A. Fallon, & Tenbroeck Smith. (2020). Effectiveness trial of an online self-help intervention for sexual problems after cancer. Journal of Sex & Marital Therapy. 46(6). 576–588. 19 indexed citations

2.

Fallon, Elizabeth A., et al.. (2018). Description, characterization, and evaluation of an online social networking community: the American Cancer Society’s Cancer Survivors Network®. Journal of Cancer Survivorship. 12(5). 691–701. 16 indexed citations

3.

Mustian, Karen M., Catherine M. Alfano, Charles E. Heckler, et al.. (2017). Comparison of Pharmaceutical, Psychological, and Exercise Treatments for Cancer-Related Fatigue. JAMA Oncology. 3(7). 961–961. 570 indexed citations breakdown →

4.

Kim, Jihye & Tenbroeck Smith. (2016). Exploring measurement invariance by gender in the profile of mood states depression subscale among cancer survivors. Quality of Life Research. 26(1). 171–175. 7 indexed citations

5.

Ferrucci, Leah M., Ruth McCorkle, Elizabeth Ercolano, et al.. (2012). Employment experience of cancer survivors 2 years post-diagnosis in the Study of Cancer Survivors-I. Journal of Cancer Survivorship. 6(2). 210–218. 12 indexed citations

6.

Ferrucci, Leah M., Brenda Cartmel, Yasemin Turkman, et al.. (2011). Causal Attribution Among Cancer Survivors of the 10 Most Common Cancers. Journal of Psychosocial Oncology. 29(2). 121–140. 46 indexed citations

7.

Singh, Jasvinder A., Jeff A. Sloan, Philip J. Atherton, et al.. (2010). Preferred roles in treatment decision making among patients with cancer: a pooled analysis of studies using the Control Preferences Scale.. PubMed. 16(9). 688–96. 170 indexed citations

8.

Hannon, Peggy A., K. Viswanath, Tenbroeck Smith, et al.. (2009). Mass Media and Marketing Communication Promoting Primary and Secondary Cancer Prevention. Journal of Health Communication. 14(sup1). 30–37. 10 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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