Marshall Nichols

2.3k total citations
24 papers, 715 citations indexed

About

Marshall Nichols is a scholar working on Epidemiology, Artificial Intelligence and Health Information Management. According to data from OpenAlex, Marshall Nichols has authored 24 papers receiving a total of 715 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Epidemiology, 7 papers in Artificial Intelligence and 5 papers in Health Information Management. Recurrent topics in Marshall Nichols's work include Machine Learning in Healthcare (7 papers), Respiratory viral infections research (5 papers) and Influenza Virus Research Studies (4 papers). Marshall Nichols is often cited by papers focused on Machine Learning in Healthcare (7 papers), Respiratory viral infections research (5 papers) and Influenza Virus Research Studies (4 papers). Marshall Nichols collaborates with scholars based in United States, United Kingdom and Pakistan. Marshall Nichols's co-authors include Michael Gao, Mark Sendak, Suresh Balu, Jay Pershad, Paul A. Palmisano, Joseph Futoma, William Ratliff, Cara O’Brien, Armando Bedoya and Kristin Corey and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Lancet Infectious Diseases and Frontiers in Microbiology.

In The Last Decade

Marshall Nichols

23 papers receiving 704 citations

Peers

Marshall Nichols

EPIDE

PHEOH

HIM

Sunyang Fu United States

Yilin Ning Singapore

Jeremy C. Weiss United States

Mjaye Mazwi Canada

Anthony Lin United States

Bilal A. Mateen United Kingdom

Joseph Futoma United States

Michael Gao United States

Rupa Makadia United States

David C. Kale United States

Sunyang Fu United States

Marshall Nichols

521 ×2.6

108 ×0.6

EPIDE

233 ×1.5

73 ×0.8

PHEOH

139 ×1.8

HIM

Citations per year, relative to Marshall Nichols Marshall Nichols (= 1×) peers Sunyang Fu

Countries citing papers authored by Marshall Nichols

Since Specialization

Citations

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

Fields of papers citing papers by Marshall Nichols

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marshall Nichols

This figure shows the co-authorship network connecting the top 25 collaborators of Marshall Nichols. A scholar is included among the top collaborators of Marshall Nichols 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 Marshall Nichols. Marshall Nichols 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

Kraft, Bryan, Ephraim L. Tsalik, Micah T. McClain, et al.. (2025). Molecular dynamics of the host response to Streptococcus pneumoniae pneumonia in baboons. Animal Models and Experimental Medicine. 8(10). 1896–1907.

Ratliff, William, Michael Gao, Jennifer L. Eaton, et al.. (2025). Evaluating sepsis watch generalizability through multisite external validation of a sepsis machine learning model. npj Digital Medicine. 8(1). 350–350. 2 indexed citations

Weissler, E. Hope, William Ratliff, Bradley J. Hintze, et al.. (2024). Development and Validation of a Natural Language Processing Model to Identify Low-Risk Pulmonary Embolism in Real Time to Facilitate Safe Outpatient Management. Annals of Emergency Medicine. 84(2). 118–127. 5 indexed citations

Boag, William, Alifia Hasan, Marshall Nichols, et al.. (2024). The algorithm journey map: a tangible approach to implementing AI solutions in healthcare. npj Digital Medicine. 7(1). 87–87. 6 indexed citations

Kansal, Aman, Michael Gao, Suresh Balu, et al.. (2021). Impact of diagnosis code grouping method on clinical prediction model performance: A multi-site retrospective observational study. International Journal of Medical Informatics. 151. 104466–104466. 4 indexed citations

Sendak, Mark, Michael Gao, William Ratliff, et al.. (2021). Preliminary results of a clinical research and innovation scholarship to prepare medical students to lead innovations in health care. Healthcare. 9(3). 100555–100555. 3 indexed citations

Buckland, Daniel M., Marshall Nichols, Michael Gao, et al.. (2021). Development and Validation of Machine Learning Models to Predict Admission From Emergency Department to Inpatient and Intensive Care Units. Annals of Emergency Medicine. 78(2). 290–302. 23 indexed citations

McClain, Micah T., Bradly P. Nicholson, Marshall Nichols, et al.. (2020). A blood-based host gene expression assay for early detection of respiratory viral infection: an index-cluster prospective cohort study. The Lancet Infectious Diseases. 21(3). 396–404. 24 indexed citations

Corey, Kristin, Joshua Helmkamp, Morgan Simons, et al.. (2020). Assessing Quality of Surgical Real-World Data from an Automated Electronic Health Record Pipeline. Journal of the American College of Surgeons. 230(3). 295–305e12. 6 indexed citations

10.

Brajer, Nathan, Michael Gao, Marshall Nichols, et al.. (2020). Prospective and External Evaluation of a Machine Learning Model to Predict In-Hospital Mortality of Adults at Time of Admission. JAMA Network Open. 3(2). e1920733–e1920733. 88 indexed citations

11.

Sendak, Mark, Madeleine Clare Elish, Michael Gao, et al.. (2020). "The human body is a black box". 99–109. 103 indexed citations

12.

Sendak, Mark, Michael Gao, Marshall Nichols, Anthony Lin, & Suresh Balu. (2019). Machine Learning in Health Care: A Critical Appraisal of Challenges and Opportunities. SHILAP Revista de lepidopterología. 7(1). 1–1. 51 indexed citations

13.

Poore, Gregory, Emily R. Ko, Ricardo Henao, et al.. (2018). A miRNA Host Response Signature Accurately Discriminates Acute Respiratory Infection Etiologies. Frontiers in Microbiology. 9. 2957–2957. 11 indexed citations

14.

Orlando, Lori A., Nina Sperber, Corrine I. Voils, et al.. (2017). Developing a common framework for evaluating the implementation of genomic medicine interventions in clinical care: the IGNITE Network’s Common Measures Working Group. Genetics in Medicine. 20(6). 655–663. 49 indexed citations

15.

Burke, Thomas W., Ricardo Henao, Erik J. Soderblom, et al.. (2017). Nasopharyngeal Protein Biomarkers of Acute Respiratory Virus Infection. EBioMedicine. 17. 172–181. 14 indexed citations

16.

Müller, Julius, Eneida Abreu Parizotto, Richard Antrobus, et al.. (2017). Development of an objective gene expression panel as an alternative to self-reported symptom scores in human influenza challenge trials. Journal of Translational Medicine. 15(1). 134–134. 4 indexed citations

17.

McClain, Micah T., Bradly P. Nicholson, Lawrence P. Park, et al.. (2016). A Genomic Signature of Influenza Infection Shows Potential for Presymptomatic Detection, Guiding Early Therapy, and Monitoring Clinical Responses. Open Forum Infectious Diseases. 3(1). ofw007–ofw007. 19 indexed citations

18.

Nichols, Marshall, et al.. (2014). Comparing reference-based RNA-Seq mapping methods for non-human primate data. BMC Genomics. 15(1). 570–570. 26 indexed citations

19.

Chiba‐Falek, Ornit, Marshall Nichols, Sunil Suchindran, et al.. (2010). Impact of gene variants on sex-specific regulation of human Scavenger receptor class B type 1 (SR-BI) expression in liver and association with lipid levels in a population-based study. BMC Medical Genetics. 11(1). 9–9. 26 indexed citations

20.

Casta, Alfonso, et al.. (1986). Anomalous origin and malposition of the pulmonary arteries (crisscross pulmonary arteries) associated with complex congenital heart disease.. PubMed. 6(5). 287–91. 21 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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