M. Ammar Zafar

869 total citations
21 papers, 564 citations indexed

About

M. Ammar Zafar is a scholar working on Epidemiology, Molecular Medicine and Molecular Biology. According to data from OpenAlex, M. Ammar Zafar has authored 21 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Epidemiology, 7 papers in Molecular Medicine and 6 papers in Molecular Biology. Recurrent topics in M. Ammar Zafar's work include Pneumonia and Respiratory Infections (8 papers), Respiratory viral infections research (7 papers) and Antibiotic Resistance in Bacteria (7 papers). M. Ammar Zafar is often cited by papers focused on Pneumonia and Respiratory Infections (8 papers), Respiratory viral infections research (7 papers) and Antibiotic Resistance in Bacteria (7 papers). M. Ammar Zafar collaborates with scholars based in United States, Japan and China. M. Ammar Zafar's co-authors include Jeffrey N. Weiser, Shigeto Hamaguchi, Masamitsu Kono, Yang Wang, Tonia Zangari, Michael Cammer, Richard E. Wolf, Ravinder Nagpal, Hariom Yadav and David L. Caudell and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Molecular Biology.

In The Last Decade

M. Ammar Zafar

19 papers receiving 560 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Ammar Zafar United States 14 294 148 134 115 89 21 564
Karita Ambrose United States 5 162 0.6× 122 0.8× 114 0.9× 226 2.0× 65 0.7× 7 433
Valentina Donà Switzerland 16 200 0.7× 159 1.1× 207 1.5× 182 1.6× 242 2.7× 28 655
Jane Newcombe United Kingdom 14 237 0.8× 175 1.2× 65 0.5× 234 2.0× 119 1.3× 25 530
Alexander Halfmann Germany 10 271 0.9× 184 1.2× 84 0.6× 140 1.2× 170 1.9× 20 582
Victoria Cano Spain 7 136 0.5× 174 1.2× 209 1.6× 134 1.2× 63 0.7× 7 502
Victoria A. Barcus United Kingdom 7 205 0.7× 135 0.9× 104 0.8× 91 0.8× 75 0.8× 9 403
Maneesh Paul‐Satyaseela United States 13 112 0.4× 117 0.8× 64 0.5× 116 1.0× 104 1.2× 24 449
Gro Anita Stamsås Norway 13 197 0.7× 248 1.7× 83 0.6× 99 0.9× 116 1.3× 16 526
Getahun Tsegaye United States 4 176 0.6× 164 1.1× 45 0.3× 96 0.8× 50 0.6× 4 413
Karina Hentrich Sweden 9 186 0.6× 150 1.0× 39 0.3× 74 0.6× 46 0.5× 10 393

Countries citing papers authored by M. Ammar Zafar

Since Specialization
Citations

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

Fields of papers citing papers by M. Ammar Zafar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Ammar Zafar

This figure shows the co-authorship network connecting the top 25 collaborators of M. Ammar Zafar. A scholar is included among the top collaborators of M. Ammar Zafar 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 M. Ammar Zafar. M. Ammar Zafar 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.
Broberg, Christopher A., Wei-Sheng Wu, Ravinder Nagpal, et al.. (2025). Klebsiella pneumoniae employs a type VI secretion system to overcome microbiota-mediated colonization resistance. Nature Communications. 16(1). 940–940. 7 indexed citations
2.
Zafar, M. Ammar, Giovanna E. Hernandez, & Kimberly A. Walker. (2025). Mechanisms of bacterial host-to-host transmission. Microbiology and Molecular Biology Reviews. 89(3). e0025924–e0025924.
3.
Haas, Karen M., et al.. (2025). Murine Models of Klebsiella pneumoniae Gastrointestinal Infection. Current Protocols. 5(8). e70187–e70187.
4.
Park, Gwoncheol, Saurabh Kadyan, Gloria Salazar, et al.. (2024). An Enteric Bacterial Infection Triggers Neuroinflammation and Neurobehavioral Impairment in 3xTg-AD Transgenic Mice. The Journal of Infectious Diseases. 230(Supplement_2). S95–S108. 8 indexed citations
5.
Zafar, M. Ammar, et al.. (2024). Deciphering the gastrointestinal carriage of Klebsiella pneumoniae. Infection and Immunity. 92(9). e0048223–e0048223. 14 indexed citations
6.
Bennett, Emma, Ben Vezina, Giovanna E. Hernandez, et al.. (2024). Ethanolamine metabolism through two genetically distinct loci enables Klebsiella pneumoniae to bypass nutritional competition in the gut. PLoS Pathogens. 20(5). e1012189–e1012189. 5 indexed citations
7.
Smith, Richard D., et al.. (2022). MgrB-Dependent Colistin Resistance in Klebsiella pneumoniae Is Associated with an Increase in Host-to-Host Transmission. mBio. 13(2). e0359521–e0359521. 32 indexed citations
8.
Ornelles, David A., et al.. (2022). Klebsiella pneumoniae l- Fucose Metabolism Promotes Gastrointestinal Colonization and Modulates Its Virulence Determinants. Infection and Immunity. 90(10). e0020622–e0020622. 41 indexed citations
9.
Zafar, M. Ammar, et al.. (2022). The Two-Component System YesMN Promotes Pneumococcal Host-to-Host Transmission and Regulates Genes Involved in Zinc Homeostasis. Infection and Immunity. 91(1). e0037522–e0037522. 1 indexed citations
10.
Zangari, Tonia, et al.. (2021). Pneumococcal capsule blocks protection by immunization with conserved surface proteins. npj Vaccines. 6(1). 155–155. 14 indexed citations
11.
Nagpal, Ravinder, et al.. (2020). Animal Model To Study Klebsiella pneumoniae Gastrointestinal Colonization and Host-to-Host Transmission. Infection and Immunity. 88(11). 58 indexed citations
12.
Zafar, M. Ammar, Shigeto Hamaguchi, Wei-Sheng Wu, et al.. (2019). Identification of Pneumococcal Factors Affecting Pneumococcal Shedding Shows that the dlt Locus Promotes Inflammation and Transmission. mBio. 10(3). 22 indexed citations
13.
14.
Zafar, M. Ammar, Yang Wang, Shigeto Hamaguchi, & Jeffrey N. Weiser. (2017). Host-to-Host Transmission of Streptococcus pneumoniae Is Driven by Its Inflammatory Toxin, Pneumolysin. Cell Host & Microbe. 21(1). 73–83. 92 indexed citations
15.
Zafar, M. Ammar, Shigeto Hamaguchi, Tonia Zangari, Michael Cammer, & Jeffrey N. Weiser. (2017). Capsule Type and Amount Affect Shedding and Transmission of Streptococcus pneumoniae. mBio. 8(4). 50 indexed citations
16.
Zafar, M. Ammar, et al.. (2016). Infant Mouse Model for the Study of Shedding and Transmission during Streptococcus pneumoniae Monoinfection. Infection and Immunity. 84(9). 2714–2722. 52 indexed citations
17.
Kono, Masamitsu, M. Ammar Zafar, Marisol Zuniga, et al.. (2016). Single Cell Bottlenecks in the Pathogenesis of Streptococcus pneumoniae. PLoS Pathogens. 12(10). e1005887–e1005887. 55 indexed citations
18.
Zafar, M. Ammar, Valerie J. Carabetta, Mark J. Mandel, & Thomas J. Silhavy. (2014). Transcriptional occlusion caused by overlapping promoters. Proceedings of the National Academy of Sciences. 111(4). 1557–1561. 30 indexed citations
19.
Zafar, M. Ammar, Neus Sanchez-Alberola, & Richard E. Wolf. (2011). Genetic Evidence for a Novel Interaction between Transcriptional Activator SoxS and Region 4 of the σ70 Subunit of RNA Polymerase at Class II SoxS-Dependent Promoters in Escherichia coli. Journal of Molecular Biology. 407(3). 333–353. 12 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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