Shemra Rizzo

862 total citations · 1 hit paper
21 papers, 540 citations indexed

About

Shemra Rizzo is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health and Clinical Psychology. According to data from OpenAlex, Shemra Rizzo has authored 21 papers receiving a total of 540 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Infectious Diseases, 4 papers in Public Health, Environmental and Occupational Health and 3 papers in Clinical Psychology. Recurrent topics in Shemra Rizzo's work include COVID-19 Clinical Research Studies (3 papers), Cancer Genomics and Diagnostics (3 papers) and Statistical Methods in Clinical Trials (3 papers). Shemra Rizzo is often cited by papers focused on COVID-19 Clinical Research Studies (3 papers), Cancer Genomics and Diagnostics (3 papers) and Statistical Methods in Clinical Trials (3 papers). Shemra Rizzo collaborates with scholars based in United States, Switzerland and France. Shemra Rizzo's co-authors include Navdeep Pal, James Zou, Ruishan Liu, Ryan Copping, Brandon Arnieri, Michael W. Lu, Arturo López Pineda, Ying Lü, William B. Capra and Samuel Whipple and has published in prestigious journals such as Nature, Nature Medicine and Nature Communications.

In The Last Decade

Shemra Rizzo

19 papers receiving 526 citations

Hit Papers

Evaluating eligibility criteria of oncology trials using ... 2021 2026 2022 2024 2021 50 100 150
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. Evaluating eligibility criteria of oncology trials using real-world data and AI
    2021 184 citations Ruishan Liu, Shemra Rizzo et al. Nature profile →

Peers

Shemra Rizzo
Amit Dang India
Paulina Stehlik Australia
Demissie Alemayehu United States
Natalie Flaks‐Manov Israel
Julie Chi Chow Taiwan
R Thiyagu India
Sven Van Laere Belgium
Fabián Gil Colombia
Yoonyoung Park United States
Pamela Tenaerts United States
Amit Dang India
Shemra Rizzo
Citations per year, relative to Shemra Rizzo Shemra Rizzo (= 1×) peers Amit Dang

Countries citing papers authored by Shemra Rizzo

Since Specialization
Citations

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

Fields of papers citing papers by Shemra Rizzo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shemra Rizzo

This figure shows the co-authorship network connecting the top 25 collaborators of Shemra Rizzo. A scholar is included among the top collaborators of Shemra Rizzo 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 Shemra Rizzo. Shemra Rizzo 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.
Liu, Ruishan, Shemra Rizzo, Lisa Wang, et al.. (2024). Characterizing mutation-treatment effects using clinico-genomics data of 78,287 patients with 20 types of cancers. Nature Communications. 15(1). 10884–10884.
2.
Liu, Ruishan, Lisa Wang, Shemra Rizzo, et al.. (2024). Systematic analysis of off-label and off-guideline cancer therapy usage in a real-world cohort of 165,912 US patients. Cell Reports Medicine. 5(3). 101444–101444. 8 indexed citations
3.
Liu, Ruishan, Shemra Rizzo, Sarah Waliany, et al.. (2022). Systematic pan-cancer analysis of mutation–treatment interactions using large real-world clinicogenomics data. Nature Medicine. 28(8). 1656–1661. 21 indexed citations
4.
Wuyts, Wim, Caroline Dahlqvist, Hans Slabbynck, et al.. (2022). Quality of Life and Healthcare Resource Use in a Real-world Patient Population with Idiopathic Pulmonary Fibrosis: The PROOF Registry. Pulmonary Therapy. 8(2). 181–194. 7 indexed citations
5.
Wu, Kevin, Eric Wu, Marek Dąbrowski, et al.. (2022). Machine Learning Prediction of Clinical Trial Operational Efficiency. The AAPS Journal. 24(3). 57–57. 14 indexed citations
6.
7.
Liu, Ruishan, Shemra Rizzo, Samuel Whipple, et al.. (2021). Evaluating eligibility criteria of oncology trials using real-world data and AI. Nature. 592(7855). 629–633. 184 indexed citations breakdown →
8.
Incerti, Devin, Shemra Rizzo, Xiao Li, et al.. (2021). Prognostic model to identify and quantify risk factors for mortality among hospitalised patients with COVID-19 in the USA. BMJ Open. 11(4). e047121–e047121. 26 indexed citations
9.
Chen, Xin, et al.. (2021). 281. Prevalence of Influenza Co-infection in a Real-world Cohort of COVID-19 Patients in the U.S. Open Forum Infectious Diseases. 8(Supplement_1). S246–S246. 2 indexed citations
10.
Sorkin, Dara H., Shemra Rizzo, Kelly A. Biegler, et al.. (2019). Novel Health Information Technology to Aid Provider Recognition and Treatment of Major Depressive Disorder and Posttraumatic Stress Disorder in Primary Care. Medical Care. 57(Suppl 2). S190–S196. 15 indexed citations
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Sharif, Mienah Z., Shemra Rizzo, Thomas R. Belin, et al.. (2016). The association between self-rated eating habits and dietary behavior in two Latino neighborhoods: Findings from Proyecto MercadoFRESCO. Preventive Medicine Reports. 3. 270–275. 11 indexed citations
14.
Lee, Junghee, Shemra Rizzo, Lori L. Altshuler, et al.. (2016). Deconstructing Bipolar Disorder and Schizophrenia: A cross-diagnostic cluster analysis of cognitive phenotypes. Journal of Affective Disorders. 209. 71–79. 46 indexed citations
15.
Torres, Jacqueline M., Shemra Rizzo, & Rebeca Wong. (2016). Lifetime Socioeconomic Status and Late-life Health Trajectories: Longitudinal Results From the Mexican Health and Aging Study. The Journals of Gerontology Series B. 73(2). gbw048–gbw048. 32 indexed citations
16.
Rizzo, Shemra. (2015). Uncertainty in Meta-Analysis: Bridging the Divide Between Ideal and Available Extracted Data. 1 indexed citations
17.
Reddy, L. Felice, Michael F. Green, Shemra Rizzo, et al.. (2014). Behavioral approach and avoidance in schizophrenia: An evaluation of motivational profiles. Schizophrenia Research. 159(1). 164–170. 35 indexed citations
18.
Davis, Michael C., William P. Horan, Erika L. Nurmi, et al.. (2014). Associations between oxytocin receptor genotypes and social cognitive performance in individuals with schizophrenia. Schizophrenia Research. 159(2-3). 353–357. 30 indexed citations
19.
Sharif, Mienah Z., Shemra Rizzo, Michael Prelip, et al.. (2014). The Association between Nutrition Facts Label Utilization and Comprehension among Latinos in Two East Los Angeles Neighborhoods. Journal of the Academy of Nutrition and Dietetics. 114(12). 1915–1922. 19 indexed citations
20.

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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