Max R. Schroeder

905 total citations
12 papers, 687 citations indexed

About

Max R. Schroeder is a scholar working on Molecular Biology, Epidemiology and Molecular Medicine. According to data from OpenAlex, Max R. Schroeder has authored 12 papers receiving a total of 687 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Epidemiology and 4 papers in Molecular Medicine. Recurrent topics in Max R. Schroeder's work include Pneumonia and Respiratory Infections (4 papers), Antibiotic Resistance in Bacteria (4 papers) and Vibrio bacteria research studies (3 papers). Max R. Schroeder is often cited by papers focused on Pneumonia and Respiratory Infections (4 papers), Antibiotic Resistance in Bacteria (4 papers) and Vibrio bacteria research studies (3 papers). Max R. Schroeder collaborates with scholars based in United States and Netherlands. Max R. Schroeder's co-authors include David S. Stephens, David S. Weiss, Timothy R. Sampson, Xiang Liu, Colleen S. Kraft, Eileen M. Burd, Crystal L. Jones, Anna C. Llewellyn, Brooke A. Napier and Scott Chancey and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Clinical Infectious Diseases.

In The Last Decade

Max R. Schroeder

12 papers receiving 682 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Max R. Schroeder United States 10 281 203 194 112 106 12 687
Vicki A. Luna United States 17 344 1.2× 174 0.9× 201 1.0× 220 2.0× 78 0.7× 26 832
Valentina Donà Switzerland 16 159 0.6× 207 1.0× 200 1.0× 242 2.2× 57 0.5× 28 655
Emily K. Crispell United States 13 313 1.1× 193 1.0× 185 1.0× 294 2.6× 79 0.7× 17 774
Janina Dordel United Kingdom 12 270 1.0× 135 0.7× 144 0.7× 271 2.4× 89 0.8× 14 746
Ryan P. Lamers Canada 12 371 1.3× 240 1.2× 72 0.4× 217 1.9× 155 1.5× 14 674
Elizabeth Diago‐Navarro United States 12 179 0.6× 316 1.6× 157 0.8× 71 0.6× 77 0.7× 28 558
Esteban Fernández-Moreira Ecuador 13 323 1.1× 349 1.7× 214 1.1× 100 0.9× 45 0.4× 34 894
Rachel Binet United States 15 262 0.9× 132 0.7× 141 0.7× 127 1.1× 195 1.8× 24 755
Malcolm McConville United Kingdom 10 196 0.7× 127 0.6× 106 0.5× 122 1.1× 52 0.5× 12 664
Stephen L. Michell United Kingdom 9 240 0.9× 70 0.3× 221 1.1× 165 1.5× 100 0.9× 9 677

Countries citing papers authored by Max R. Schroeder

Since Specialization
Citations

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

Fields of papers citing papers by Max R. Schroeder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Max R. Schroeder. 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 Max R. Schroeder. The network helps show where Max R. Schroeder may publish in the future.

Co-authorship network of co-authors of Max R. Schroeder

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

All Works

12 of 12 papers shown
1.
Schroeder, Max R. & Vladimir N. Loparev. (2019). Rapid Inactivation of Non-Endospore-Forming Bacterial Pathogens by Heat Stabilization is Compatible with Downstream Next-Generation Sequencing. Applied Biosafety. 24(3). 129–133. 1 indexed citations
2.
Schroeder, Max R., et al.. (2019). High-Level Macrolide Resistance Due to the Mega Element [mef(E)/mel] in Streptococcus pneumoniae. Frontiers in Microbiology. 10. 868–868. 21 indexed citations
5.
Gray, Warren D., Max R. Schroeder, Hong Yi, et al.. (2016). Pleomorphic Structures in Human Blood Are Red Blood Cell-Derived Microparticles, Not Bacteria. PLoS ONE. 11(10). e0163582–e0163582. 10 indexed citations
6.
Schroeder, Max R. & David S. Stephens. (2016). Macrolide Resistance in Streptococcus pneumoniae. Frontiers in Cellular and Infection Microbiology. 6. 98–98. 140 indexed citations
7.
Chancey, Scott, et al.. (2015). Composite mobile genetic elements disseminating macrolide resistance in Streptococcus pneumoniae. Frontiers in Microbiology. 6. 26–26. 52 indexed citations
8.
Sampson, Timothy R., Brooke A. Napier, Max R. Schroeder, et al.. (2014). A CRISPR-Cas system enhances envelope integrity mediating antibiotic resistance and inflammasome evasion. Proceedings of the National Academy of Sciences. 111(30). 11163–11168. 75 indexed citations
9.
Jones, Crystal L., Brooke A. Napier, Timothy R. Sampson, et al.. (2012). Subversion of Host Recognition and Defense Systems by Francisella spp. Microbiology and Molecular Biology Reviews. 76(2). 383–404. 109 indexed citations
10.
Sampson, Timothy R., Xiang Liu, Max R. Schroeder, et al.. (2012). Rapid Killing of Acinetobacter baumannii by Polymyxins Is Mediated by a Hydroxyl Radical Death Pathway. Antimicrobial Agents and Chemotherapy. 56(11). 5642–5649. 165 indexed citations
11.
Burtt, Edward H., et al.. (2010). Colourful parrot feathers resist bacterial degradation. Biology Letters. 7(2). 214–216. 43 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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