Heidi Hamann

2.8k total citations
75 papers, 1.9k citations indexed

About

Heidi Hamann is a scholar working on Oncology, Sociology and Political Science and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Heidi Hamann has authored 75 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Oncology, 24 papers in Sociology and Political Science and 20 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Heidi Hamann's work include Global Cancer Incidence and Screening (23 papers), Cancer survivorship and care (23 papers) and Family Support in Illness (20 papers). Heidi Hamann is often cited by papers focused on Global Cancer Incidence and Screening (23 papers), Cancer survivorship and care (23 papers) and Family Support in Illness (20 papers). Heidi Hamann collaborates with scholars based in United States, Finland and South Africa. Heidi Hamann's co-authors include Jamie S. Ostroff, Robert T. Croyle, Caryn Lerman, Kenneth P. Tercyak, Megan Johnson Shen, Elizabeth S. Ver Hoeve, Simon J. Craddock Lee, Jamie L. Studts, John Ruiz and Kristen E. Riley and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Heidi Hamann

71 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Heidi Hamann United States 23 689 496 443 432 354 75 1.9k
Anne Lanceley United Kingdom 25 757 1.1× 451 0.9× 404 0.9× 229 0.5× 338 1.0× 96 2.1k
Clare Moynihan United Kingdom 28 984 1.4× 530 1.1× 648 1.5× 447 1.0× 459 1.3× 49 2.8k
Suzanne C. O’Neill United States 24 522 0.8× 722 1.5× 286 0.6× 230 0.5× 302 0.9× 98 2.1k
Kristi D. Graves United States 30 1.1k 1.6× 1.2k 2.4× 704 1.6× 623 1.4× 506 1.4× 122 2.9k
Mary Jane Esplen Canada 29 859 1.2× 949 1.9× 605 1.4× 562 1.3× 300 0.8× 105 2.5k
Nancy Press United States 26 416 0.6× 785 1.6× 578 1.3× 203 0.5× 325 0.9× 53 2.6k
Kathryn M. Kash United States 21 759 1.1× 753 1.5× 472 1.1× 730 1.7× 417 1.2× 35 2.2k
Lois C. Friedman United States 29 1.0k 1.5× 477 1.0× 415 0.9× 473 1.1× 561 1.6× 53 2.4k
Kerry A. Sherman Australia 33 1.2k 1.7× 280 0.6× 611 1.4× 420 1.0× 638 1.8× 134 3.1k
Michel Dorval Canada 16 655 1.0× 620 1.3× 293 0.7× 514 1.2× 136 0.4× 86 1.7k

Countries citing papers authored by Heidi Hamann

Since Specialization
Citations

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

Fields of papers citing papers by Heidi Hamann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heidi Hamann

This figure shows the co-authorship network connecting the top 25 collaborators of Heidi Hamann. A scholar is included among the top collaborators of Heidi Hamann 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 Heidi Hamann. Heidi Hamann 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
3.
Bhalla, Sheena, Jessica L. Lee, Hong Zhu, et al.. (2024). Effect of Patient Navigation on Completion of Lung Cancer Screening in Vulnerable Populations. Journal of the National Comprehensive Cancer Network. 22(3). 151–157. 5 indexed citations
4.
Banerjee, Smita C., Elizabeth Schofield, Lisa Carter‐Harris, et al.. (2024). Empathic communication skills training to reduce lung cancer stigma: Study protocol of a cluster randomized control trial. Contemporary Clinical Trials. 145. 107669–107669. 1 indexed citations
5.
Lee, Simon J. Craddock, Jessica L. Lee, Hong Zhu, et al.. (2023). Assessing Barriers and Facilitators to Lung Cancer Screening: Initial Findings from a Patient Navigation Intervention. Population Health Management. 26(3). 177–184. 6 indexed citations
6.
Rethorst, Chad D., Thomas Carmody, Keith Argenbright, et al.. (2023). Considering depression as a secondary outcome in the optimization of physical activity interventions for breast cancer survivors in the PACES trial: a factorial randomized controlled trial. International Journal of Behavioral Nutrition and Physical Activity. 20(1). 6 indexed citations
7.
Zhu, Hong, Sarah Williams, Heidi Hamann, et al.. (2022). Prevalence And Impact of Medical Comorbidities in A Real‐World Lung Cancer Screening Population. Clinical Lung Cancer. 23(5). 419–427. 12 indexed citations
8.
Hoeve, Elizabeth S. Ver, Melissa A. Simon, Sanja Percac‐Lima, et al.. (2022). Implementing patient navigation programs: Considerations and lessons learned from the Alliance to Advance Patient‐Centered Cancer Care. Cancer. 128(14). 2806–2816. 10 indexed citations
9.
Chase, Dana M., et al.. (2022). Implicit biases in healthcare: implications and future directions for gynecologic oncology. American Journal of Obstetrics and Gynecology. 227(1). 1–9. 3 indexed citations
10.
Gerber, David E., Heidi Hamann, Chul Ahn, et al.. (2020). Clinician Variation in Ordering and Completion of Low-Dose Computed Tomography for Lung Cancer Screening in a Safety-Net Medical System. Clinical Lung Cancer. 22(4). e612–e620. 8 indexed citations
11.
Gerber, David E., Heidi Hamann, Noel Santini, et al.. (2020). Tracking the Nonenrolled: Lung Cancer Screening Patterns Among Individuals not Accrued to a Clinical Trial. Clinical Lung Cancer. 21(4). 326–332. 6 indexed citations
12.
Rethorst, Chad D., Heidi Hamann, Thomas Carmody, et al.. (2018). The Promoting Activity in Cancer Survivors (PACES) trial: a multiphase optimization of strategy approach to increasing physical activity in breast cancer survivors. BMC Cancer. 18(1). 744–744. 7 indexed citations
14.
Narayanan, Sriram, et al.. (2015). Attitudes and Stereotypes in Lung Cancer versus Breast Cancer. PLoS ONE. 10(12). e0145715–e0145715. 24 indexed citations
15.
Shen, Megan Johnson, et al.. (2015). Association between patient-provider communication and lung cancer stigma. Supportive Care in Cancer. 24(5). 2093–2099. 56 indexed citations
16.
Tiro, Jasmin A., Joanne M. Sanders, L. Aubree Shay, et al.. (2015). Validation of self-reported post-treatment mammography surveillance among breast cancer survivors by electronic medical record extraction method. Breast Cancer Research and Treatment. 151(2). 427–434. 8 indexed citations
17.
Hamann, Heidi, Jasmin A. Tiro, Joanne M. Sanders, et al.. (2013). Validity of self-reported genetic counseling and genetic testing use among breast cancer survivors. Journal of Cancer Survivorship. 7(4). 624–629. 6 indexed citations
18.
Hamann, Heidi, Timothy W. Smith, Ken R. Smith, et al.. (2008). Interpersonal responses among sibling dyads tested for BRCA1/BRCA2 gene mutations.. Health Psychology. 27(1). 100–109. 11 indexed citations
19.
Botkin, Jeffrey R., Ken R. Smith, Robert T. Croyle, et al.. (2003). Genetic testing for a BRCA1 mutation: Prophylactic surgery and screening behavior in women 2 years post testing. American Journal of Medical Genetics Part A. 118A(3). 201–209. 163 indexed citations
20.
Lerman, Caryn, Robert T. Croyle, Kenneth P. Tercyak, & Heidi Hamann. (2002). Genetic testing: Psychological aspects and implications.. Journal of Consulting and Clinical Psychology. 70(3). 784–797. 196 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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