Brian M. Maas

496 total citations
29 papers, 244 citations indexed

About

Brian M. Maas is a scholar working on Epidemiology, Infectious Diseases and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Brian M. Maas has authored 29 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Epidemiology, 11 papers in Infectious Diseases and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Brian M. Maas's work include Respiratory viral infections research (13 papers), SARS-CoV-2 and COVID-19 Research (6 papers) and Pneumonia and Respiratory Infections (5 papers). Brian M. Maas is often cited by papers focused on Respiratory viral infections research (13 papers), SARS-CoV-2 and COVID-19 Research (6 papers) and Pneumonia and Respiratory Infections (5 papers). Brian M. Maas collaborates with scholars based in United States, Japan and Chile. Brian M. Maas's co-authors include Yanguang Cao, Antonios O. Aliprantis, Kalpit A. Vora, Radha Railkar, Luzelena Caro, Brad Roadcap, Andrew W. Lee, Hua Ma, S. Aubrey Stoch and Eseng Lai and has published in prestigious journals such as PLoS ONE, The Journal of Infectious Diseases and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Brian M. Maas

25 papers receiving 237 citations

Peers

Brian M. Maas
E. Vidal Spain
M Ardian Australia
Yong Kek Pang Malaysia
Amy P. Callear United States
E. Vidal Spain
Brian M. Maas
Citations per year, relative to Brian M. Maas Brian M. Maas (= 1×) peers E. Vidal

Countries citing papers authored by Brian M. Maas

Since Specialization
Citations

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

Fields of papers citing papers by Brian M. Maas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian M. Maas. 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 Brian M. Maas. The network helps show where Brian M. Maas may publish in the future.

Co-authorship network of co-authors of Brian M. Maas

This figure shows the co-authorship network connecting the top 25 collaborators of Brian M. Maas. A scholar is included among the top collaborators of Brian M. Maas 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 Brian M. Maas. Brian M. Maas 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.
Plock, Nele, Jeffrey R. Sachs, Kalpit A. Vora, et al.. (2025). Efficacy of monoclonal antibodies and maternal vaccination for prophylaxis of respiratory syncytial virus disease. Communications Medicine. 5(1). 119–119. 5 indexed citations
2.
Chawla, Akshita, Ruthie Birger, Brian M. Maas, et al.. (2025). Comparison of Molnupiravir Exposure‐Response Relationships for Virology Response and Mechanism of Action Biomarkers With Clinical Outcomes in Treatment of COVID‐19. Clinical and Translational Science. 18(4). e70184–e70184.
3.
Sinha, Anushua, Radha Railkar, Luis A. Castagnini, et al.. (2025). Evaluation of a monoclonal antibody against respiratory syncytial virus, clesrovimab, in infants and children: Comprehensive rationale and study design for the late-stage clinical trials. Contemporary Clinical Trials. 157. 107995–107995. 3 indexed citations
5.
Fiore, Joseph, Yoon Jin, Tycho Heimbach, et al.. (2025). Pharmacokinetics and bioequivalence of a molnupiravir tablet formulation compared with the molnupiravir capsule formulation in healthy adult participants—a randomized, open-label, three-period, crossover study. Antimicrobial Agents and Chemotherapy. 69(3). e0143424–e0143424. 1 indexed citations
6.
Caraco, Yoseph, Matthew G. Johnson, Brian M. Maas, et al.. (2025). Impact of differences between interim and post-interim analysis populations on outcomes of a group sequential trial: Example of the MOVe-OUT study. Clinical Trials. 22(3). 312–324.
7.
Phuah, Jia Yao, Ryan P. Staupe, Yu Cao, et al.. (2024). Development of High-Titer Antidrug Antibodies in a Phase 1b/2a Infant Clesrovimab Trial Are Associated With RSV Exposure Beyond Day 150. The Journal of Infectious Diseases. 231(3). e488–e496. 4 indexed citations
8.
Duncan, Kelly, Russ P. Carstens, Yoon Jin, et al.. (2024). Assessment of pharmacokinetics and tolerability following single‐dose administration of molnupiravir in participants with hepatic or renal impairment. Clinical and Translational Science. 17(12). e70073–e70073.
9.
Madhi, Shabir A., Eric A. F. Simões, Radha Railkar, et al.. (2024). A Phase 1b/2a Trial of a Half-life Extended Respiratory Syncytial Virus Neutralizing Antibody, Clesrovimab, in Healthy Preterm and Full-term Infants. The Journal of Infectious Diseases. 231(3). e478–e487. 17 indexed citations
10.
Phuah, Jia Yao, Brian M. Maas, Aimin Tang, et al.. (2023). Quantification of clesrovimab, an investigational, half-life extended, anti-respiratory syncytial virus protein F human monoclonal antibody in the nasal epithelial lining fluid of healthy adults. Biomedicine & Pharmacotherapy. 169. 115851–115851. 22 indexed citations
11.
Chawla, Akshita, Ruthie Birger, Hong Wan, et al.. (2023). Factors Influencing COVID‐19 Risk: Insights From Molnupiravir Exposure‐Response Modeling of Clinical Outcomes. Clinical Pharmacology & Therapeutics. 113(6). 1337–1345. 6 indexed citations
12.
Iwamoto, Marian, Kelly Duncan, Tian Zhao, et al.. (2023). Assessment of pharmacokinetics, safety, and tolerability following twice‐daily administration of molnupiravir for 10 days in healthy participants. Clinical and Translational Science. 16(10). 1947–1956. 9 indexed citations
13.
Fujimoto, Katsukuni, Chihiro Hasegawa, Ikuo Aoki, et al.. (2022). A phase I, randomized, placebo‐controlled study of molnupiravir in healthy Japanese to support special approval in Japan to treat COVID‐19. Clinical and Translational Science. 15(11). 2697–2708. 9 indexed citations
15.
Maas, Brian M., Antonios O. Aliprantis, Kalpit A. Vora, et al.. (2018). 1384. RSV Monoclonal Antibody (MK-1654) Phase 1 Pharmacokinetics (PK) in Healthy Adults and Population PK Modeling to Support Pediatric Development. Open Forum Infectious Diseases. 5(suppl_1). S424–S425. 10 indexed citations
16.
Chen, Jingxian, Brian M. Maas, Mackenzie L. Cottrell, et al.. (2018). A Pharmacokinetic/Pharmacodynamic Model to Predict Effective HIV Prophylaxis Dosing Strategies for People Who Inject Drugs. Journal of Pharmacology and Experimental Therapeutics. 367(2). 245–251. 13 indexed citations
17.
Dumond, Julie B., Stephen A. Greene, Heather Prince, et al.. (2018). Differential Extracellular, but Similar Intracellular, Disposition of two Tenofovir Formulations in the Male Genital Tract. Antiviral Therapy. 24(1). 45–50. 6 indexed citations
18.
Maas, Brian M., et al.. (2017). Bone Mineral Density to Assess Pediatric Bone Health in Drug Development. Therapeutic Innovation & Regulatory Science. 51(6). 756–760. 2 indexed citations
20.
Plewig, Gerd, et al.. (1986). [Remission behavior following low-dose 13-cis-retinoic acid in papulopustular acne].. PubMed. 61(17). 1205–10. 2 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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