Sally F. Shaw

6.2k total citations · 1 hit paper
52 papers, 1.1k citations indexed

About

Sally F. Shaw is a scholar working on Infectious Diseases, Health and Epidemiology. According to data from OpenAlex, Sally F. Shaw has authored 52 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Infectious Diseases, 12 papers in Health and 8 papers in Epidemiology. Recurrent topics in Sally F. Shaw's work include Religion, Spirituality, and Psychology (10 papers), COVID-19 Clinical Research Studies (6 papers) and Dialysis and Renal Disease Management (6 papers). Sally F. Shaw is often cited by papers focused on Religion, Spirituality, and Psychology (10 papers), COVID-19 Clinical Research Studies (6 papers) and Dialysis and Renal Disease Management (6 papers). Sally F. Shaw collaborates with scholars based in United States, United Kingdom and Saudi Arabia. Sally F. Shaw's co-authors include Harold G. Koenig, Bruce Nelson, Sara Y. Tartof, Harvey Jay Cohen, Vennis Hong, Bradley K. Ackerson, Clive J. Robins, Michael King, Michelle Pearce and Heidi Fischer and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Annals of Internal Medicine.

In The Last Decade

Sally F. Shaw

48 papers receiving 1.0k citations

Hit Papers

align trajectories sort by overperformance

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.

Effectiveness of nirmatrelvir–ritonavir in preventing hospital admissions and deaths in people with COVID-19: a cohort study in a large US health-care system

2023 74 citations Joseph A. Lewnard, Deborah E. Malden et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sally F. Shaw United States	16	364	257	200	165	142	52	1.1k
Reshma Golamari United States	12	285 0.8×	175 0.7×	265 1.3×	218 1.3×	172 1.2×	36	988
Rohit Jain United States	14	438 1.2×	189 0.7×	280 1.4×	286 1.7×	207 1.5×	124	1.4k
Devyani Ramgobin United States	8	243 0.7×	152 0.6×	231 1.2×	188 1.1×	156 1.1×	12	832
Nitasa Sahu United States	7	229 0.6×	172 0.7×	247 1.2×	178 1.1×	143 1.0×	19	786
Christopher T. Rentsch United States	22	504 1.4×	128 0.5×	124 0.6×	90 0.5×	178 1.3×	91	1.4k
Brendan McClafferty United States	5	244 0.7×	152 0.6×	231 1.2×	188 1.1×	139 1.0×	8	747
Chander Shekher Aggarwal United States	6	237 0.7×	148 0.6×	228 1.1×	187 1.1×	152 1.1×	7	761
Ricci Kalayanamitra United States	5	208 0.6×	151 0.6×	222 1.1×	169 1.0×	141 1.0×	12	719
Zainab Shahid United States	5	208 0.6×	151 0.6×	222 1.1×	169 1.0×	135 1.0×	16	725
Dhirisha Bhatt United States	5	211 0.6×	151 0.6×	221 1.1×	165 1.0×	134 0.9×	9	695

Countries citing papers authored by Sally F. Shaw

Since Specialization

Citations

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

Fields of papers citing papers by Sally F. Shaw

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sally F. Shaw. 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 Sally F. Shaw. The network helps show where Sally F. Shaw may publish in the future.

Co-authorship network of co-authors of Sally F. Shaw

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

All Works

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20 of 20 papers shown

Fischer, Heidi, Lei Qian, Zhuoxin Li, et al.. (2025). Development and validation of prediction algorithm to identify tuberculosis in two large California health systems. Nature Communications. 16(1). 3385–3385.

Skarbinski, Jacek, Katia Bruxvoort, Heidi Fischer, et al.. (2025). Risk of Incident Tuberculosis Disease in a Large Integrated Health Care System in California, 2004–2022. Open Forum Infectious Diseases. 12(3). ofaf103–ofaf103. 1 indexed citations

Patrick, Rudy, Parag Mahale, Bradley K. Ackerson, et al.. (2025). Respiratory syncytial virus vaccine uptake among adults aged ≥60 years in a large, integrated healthcare system in Southern California 2023–2024. Vaccine. 53. 127033–127033. 2 indexed citations

Ku, Jennifer H, Heidi Fischer, Lei Qian, et al.. (2024). Latent Tuberculosis Infection Testing Practices in a Large US Integrated Healthcare System. Clinical Infectious Diseases. 78(5). 1304–1312. 3 indexed citations

Skarbinski, Jacek, Heidi Fischer, Vennis Hong, et al.. (2023). Real‐World Evidence to Supplement Randomized Clinical Trials: Tocilizumab for Severe COVID‐19 Pneumonia vs. a Cohort Receiving Standard of Care. Clinical Pharmacology & Therapeutics. 114(5). 1073–1081. 3 indexed citations

Lewnard, Joseph A., Vennis Hong, Sally F. Shaw, et al.. (2023). Association of SARS-CoV-2 BA.4/BA.5 Omicron lineages with immune escape and clinical outcome. Nature Communications. 14(1). 1407–1407. 24 indexed citations

Bruxvoort, Katia, Jacek Skarbinski, Heidi Fischer, et al.. (2023). Latent Tuberculosis Infection Treatment Practices in Two Large Integrated Health Systems in California, 2009–2018. Open Forum Infectious Diseases. 10(5). ofad219–ofad219. 4 indexed citations

Malden, Deborah E., Sara Y. Tartof, Bradley K. Ackerson, et al.. (2022). Natural Language Processing for Improved Characterization of COVID-19 Symptoms: Observational Study of 350,000 Patients in a Large Integrated Health Care System. JMIR Public Health and Surveillance. 8(12). e41529–e41529. 17 indexed citations

Skarbinski, Jacek, Liyan Liu, Vennis Hong, et al.. (2022). Retrospective cohort study to assess the association between treatment with tocilizumab and mortality among mechanically ventilated patients with COVID-19. BMJ Open. 12(10). e060358–e060358. 1 indexed citations

10.

Marck, Claudia H., Ernest Butler, Karen‐Leigh Edward, et al.. (2021). Improving the detection and treatment of depression in Australians with multiple sclerosis: A qualitative analysis. Multiple Sclerosis and Related Disorders. 56. 103290–103290. 8 indexed citations

11.

Shaw, Sally F., et al.. (2018). Can a stress management programme reduce stress and improve quality\nof life in people diagnosed with multiple sclerosis?. Europe PMC (PubMed Central). 11 indexed citations

12.

Pearce, Michelle, Harold G. Koenig, Clive J. Robins, et al.. (2016). Effects of Religious Versus Conventional Cognitive-Behavioral Therapy on Gratitude in Major Depression and Chronic Medical Illness: A Randomized Clinical Trial. Journal of Spirituality in Mental Health. 18(2). 124–144. 11 indexed citations

13.

Koenig, Harold G., Michelle Pearce, Bruce Nelson, et al.. (2015). Effects of religious vs. standard cognitive behavioral therapy on therapeutic alliance: A randomized clinical trial. Psychotherapy Research. 26(3). 365–376. 13 indexed citations

14.

Berk, Lee, Denise L. Bellinger, Harold G. Koenig, et al.. (2015). Effects of Religious vs. Conventional Cognitive-Behavioral Therapy on Inflammatory Markers and Stress Hormones in Major Depression and Chronic Medical Illness: A Randomized Clinical Trial. Open Journal of Psychiatry. 5(3). 238–259. 10 indexed citations

15.

Koenig, Harold G., et al.. (2015). Belief into Action Scale: A Brief but Comprehensive Measure of Religious Commitment. Open Journal of Psychiatry. 5(1). 66–77. 37 indexed citations

16.

Bellinger, Denise L., Lee Berk, Harold G. Koenig, et al.. (2014). Religious Involvement, Inflammatory Markers and Stress Hormones in Major Depression and Chronic Medical Illness. Open Journal of Psychiatry. 4(4). 335–352. 8 indexed citations

17.

Shinde, A., Jing Zhai, Paul Frankel, et al.. (2014). Pathologic complete response rates in triple-negative, HER2-positive, and hormone receptor-positive breast cancers after anthracycline-free neoadjuvant chemotherapy with carboplatin and paclitaxel with or without trastuzumab. The Breast. 24(1). 18–23. 20 indexed citations

18.

Pearce, Michelle, Harold G. Koenig, Clive J. Robins, et al.. (2014). Religiously integrated cognitive behavioral therapy: A new method of treatment for major depression in patients with chronic medical illness.. Psychotherapy. 52(1). 56–66. 103 indexed citations

19.

Somlo, George, Benjamin Paz, Jeannie Shen, et al.. (2007). A randomized phase II neoadjuvant trial in patients with stages II-III and inflammatory breast cancer.. Cancer Research. 67. 3515–3515. 2 indexed citations

20.

Shaw, Sally F.. (1990). Guidelines for national nurses' associations and others : preparation of nurse managers and nurses in general health management. 1 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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