Karen L. Weihs

7.1k total citations
111 papers, 5.3k citations indexed

About

Karen L. Weihs is a scholar working on Oncology, Sociology and Political Science and Social Psychology. According to data from OpenAlex, Karen L. Weihs has authored 111 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Oncology, 36 papers in Sociology and Political Science and 29 papers in Social Psychology. Recurrent topics in Karen L. Weihs's work include Cancer survivorship and care (37 papers), Family Support in Illness (33 papers) and Childhood Cancer Survivors' Quality of Life (17 papers). Karen L. Weihs is often cited by papers focused on Cancer survivorship and care (37 papers), Family Support in Illness (33 papers) and Childhood Cancer Survivors' Quality of Life (17 papers). Karen L. Weihs collaborates with scholars based in United States, Australia and Israel. Karen L. Weihs's co-authors include Samuel J. Simmens, Jordan B. Peterson, Paul L. Kimmel, Sylvan I. Alleyne, Judith H. Veis, Dan R. Hoyt, Ana Mariá López, Johanna Czamanski‐Cohen, Timothy M. Enright and Lawrence Fisher and has published in prestigious journals such as American Journal of Psychiatry, Diabetes Care and Journal of Consulting and Clinical Psychology.

In The Last Decade

Karen L. Weihs

105 papers receiving 5.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karen L. Weihs United States 39 1.4k 1.3k 923 873 823 111 5.3k
Alan J. Christensen United States 45 803 0.6× 1.1k 0.8× 621 0.7× 637 0.7× 610 0.7× 136 4.8k
Joseph Chilcot United Kingdom 35 1.2k 0.9× 1.0k 0.8× 957 1.0× 406 0.5× 130 0.2× 143 3.7k
Ad A. Kaptein Netherlands 44 355 0.3× 429 0.3× 896 1.0× 275 0.3× 470 0.6× 156 5.5k
Paul Kurdyak Canada 44 177 0.1× 2.5k 2.0× 1.6k 1.8× 1.3k 1.5× 357 0.4× 340 7.5k
Dieter Schellberg Germany 34 133 0.1× 2.6k 2.1× 1.1k 1.2× 896 1.0× 281 0.3× 94 7.0k
Tom Sensky United Kingdom 37 214 0.2× 1.4k 1.1× 1.6k 1.7× 512 0.6× 123 0.1× 107 4.8k
Suzanne L. Dibble United States 43 158 0.1× 651 0.5× 442 0.5× 1.5k 1.7× 1.7k 2.1× 109 6.1k
Bobby L. Jones United States 29 94 0.1× 1.2k 0.9× 885 1.0× 439 0.5× 215 0.3× 73 6.7k
Linda Ganzini United States 47 185 0.1× 2.2k 1.8× 633 0.7× 310 0.4× 417 0.5× 149 6.0k
Colin R. Martin United Kingdom 35 104 0.1× 1.2k 1.0× 568 0.6× 526 0.6× 160 0.2× 280 4.5k

Countries citing papers authored by Karen L. Weihs

Since Specialization
Citations

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

Fields of papers citing papers by Karen L. Weihs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karen L. Weihs. 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 Karen L. Weihs. The network helps show where Karen L. Weihs may publish in the future.

Co-authorship network of co-authors of Karen L. Weihs

This figure shows the co-authorship network connecting the top 25 collaborators of Karen L. Weihs. A scholar is included among the top collaborators of Karen L. Weihs 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 Karen L. Weihs. Karen L. Weihs 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.
Czamanski‐Cohen, Johanna, et al.. (2025). Coping, Emotional Processing, and Cancer‐Related Symptoms in Breast Cancer Survivors: Cross‐Sectional Secondary Analysis of the REPAT Study. Psycho-Oncology. 34(2). e70094–e70094. 2 indexed citations
2.
3.
Cloonan, Sara, Lara K. Ault, Karen L. Weihs, & Richard D. Lane. (2024). Development and Preliminary Validation of the Lovebird Scale. Behavioral Sciences. 14(9). 747–747.
4.
Czamanski‐Cohen, Johanna, Miri Cohen, Richard D. Lane, et al.. (2024). Differences in Emotional Awareness Moderate Cytokine-Symptom Associations Among Breast Cancer Survivors. Brain Behavior and Immunity. 124. 387–396.
5.
Allen, John J. B., et al.. (2023). A pull to be close: The differentiating effects of oxytocin and grief stimulus type on approach behavior in complicated grief. European Journal of Trauma & Dissociation. 7(3). 100339–100339. 6 indexed citations
6.
7.
Czamanski‐Cohen, Johanna & Karen L. Weihs. (2023). The role of emotion processing in art therapy (REPAT) intervention protocol. Frontiers in Psychology. 14. 1208901–1208901. 13 indexed citations
8.
Smith, Ryan, Anke Versluis, John J. B. Allen, et al.. (2023). Early adversity and emotional awareness: A partial confirmation and extension of their relationship. PubMed. 21(3). 320–340. 2 indexed citations
9.
Smith, Ryan, Horst D. Steklis, Netzin G. Steklis, et al.. (2022). Lower emotional awareness is associated with greater early adversity and faster life history strategy.. Evolutionary Behavioral Sciences. 17(1). 1–15. 10 indexed citations
10.
Czamanski‐Cohen, Johanna, et al.. (2019). The role of emotional processing in art therapy (REPAT) for breast cancer patients. Journal of Psychosocial Oncology. 37(5). 586–598. 56 indexed citations
11.
Fisher, Lawrence, Danielle Hessler, William H. Polonsky, et al.. (2018). T1-REDEEM: A Randomized Controlled Trial to Reduce Diabetes Distress Among Adults With Type 1 Diabetes. Diabetes Care. 41(9). 1862–1869. 71 indexed citations
12.
Weihs, Karen L., et al.. (2017). Desvenlafaxine Versus Placebo in a Fluoxetine-Referenced Study of Children and Adolescents with Major Depressive Disorder. Journal of Child and Adolescent Psychopharmacology. 28(1). 36–46. 26 indexed citations
13.
Marroquín, Brett, Johanna Czamanski‐Cohen, Karen L. Weihs, & Annette L. Stanton. (2016). Implicit loneliness, emotion regulation, and depressive symptoms in breast cancer survivors. Journal of Behavioral Medicine. 39(5). 832–844. 50 indexed citations
14.
Stanton, Annette L., Joshua F. Wiley, Jennifer L. Krull, et al.. (2015). Depressive episodes, symptoms, and trajectories in women recently diagnosed with breast cancer. Breast Cancer Research and Treatment. 154(1). 105–115. 56 indexed citations
15.
Robbins, Megan L., Elizabeth S. Focella, Shelley Kasle, et al.. (2011). Naturalistically observed swearing, emotional support, and depressive symptoms in women coping with illness.. Health Psychology. 30(6). 789–792. 48 indexed citations
16.
Carroll, Bernard J., Lon S. Schneider, J. Craig Nelson, et al.. (2004). Sertraline and the Cheshire Cat in Geriatric Depression [6] (multiple letters). American Journal of Psychiatry. 161(4). 759–761. 3 indexed citations
17.
Schneider, Lon S., J. Craig Nelson, Cathryn M. Clary, et al.. (2003). An 8-Week Multicenter, Parallel-Group, Double-Blind, Placebo-Controlled Study of Sertraline in Elderly Outpatients With Major Depression. American Journal of Psychiatry. 160(7). 1277–1285. 124 indexed citations
18.
Weihs, Karen L., et al.. (2002). Families and the management of chronic disease, report for the Committee on Health and Behavior: research practice and policy; Institute of Medicine, National Academy of Sciences. Families Systems & Health. 20(1). 2 indexed citations
19.
Weihs, Karen L.. (2001). Social support network size predicts breast cancer recurrence and mortality, after control for disease severity. Psychosomatic Medicine. 63(1). 1 indexed citations
20.
Kimmel, Paul L., Terry M. Phillips, Samuel J. Simmens, et al.. (1998). Immunologic function and survival in hemodialysis patients. Kidney International. 54(1). 236–244. 419 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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