Nicole E. Putnam
Impact in
- Infectious Diseases top 10%
- Antimicrobial Resistance in Staphylococcus
- Microbiology top 10%
- Antimicrobial Peptides and Activities
Papers in
-
- Antimicrobial Resistance in Staphylococcus 6
-
- Bacterial biofilms and quorum sensing 4
- Co-authors
- James E. Cassat (9 shared papers)C. Henrique Serezani (2 shared papers)Stephanie L. Brandt (2 shared papers)Eric P. Skaar (3 shared papers)Diane E. Griffin (3 shared papers)Daniel J. Snyder (2 shared papers)Neal D. Hammer (2 shared papers)Caleb A. Ford (2 shared papers)
- Journals
- Journal of Clinical Microbiology (3 papers)PLoS Pathogens (2 papers)The Journal of Infectious Diseases (2 papers)Scientific Reports (1 paper)Analytical Chemistry (1 paper)
- Partner nations
- United StatesNigeria
In The Last Decade
Nicole E. Putnam
17 papers receiving 613 citations
Peers
Comparison fields: 5 of 87
- Infectious Diseases 239
- Microbiology 44
- Immunology 129
- Molecular Medicine 24
- Molecular Biology 274
Countries citing papers authored by Nicole E. Putnam
This map shows the geographic impact of Nicole E. Putnam'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 Nicole E. Putnam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicole E. Putnam more than expected).
Fields of papers citing papers by Nicole E. Putnam
This network shows the impact of papers produced by Nicole E. Putnam. 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 Nicole E. Putnam. The network helps show where Nicole E. Putnam may publish in the future.
Co-authors
The 25 scholars most cited alongside Nicole E. Putnam, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 113 | |
| 2 | 2015 | 108 | |
| 3 | 2017 | 71 | |
| 4 | 2019 | 65 | |
| 5 | 2018 | 64 | |
| 6 | 2016 | 49 | |
| 7 | 2019 | 47 | |
| 8 | 2017 | 32 | |
| 9 | 2020 | 21 | |
| 10 | 2018 | 16 | |
| 11 | 2020 | 7 | |
| 12 | 2021 | 6 | |
| 13 | 2023 | 5 | |
| 14 | 2022 | 5 | |
| 15 | Innate Immunity to Staphylococcus aureus: Evolving Paradigms in Soft Tissue and Invasive Infections | 2018 | 4 |
| 16 | 2015 | 4 | |
| 17 | 2025 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2024 | 0 |
About Nicole E. Putnam
Nicole E. Putnam is a scholar working on Infectious Diseases, Molecular Biology, Epidemiology, Immunology and Surgery, having authored 19 papers that have together received 618 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (6 papers), Bacterial biofilms and quorum sensing (4 papers), Bacterial Identification and Susceptibility Testing (3 papers), Orthopedic Infections and Treatments (3 papers), Infective Endocarditis Diagnosis and Management (2 papers), Osteomyelitis and Bone Disorders Research (2 papers), Fungal Infections and Studies (2 papers) and Infectious Diseases and Tuberculosis (2 papers). The work is most often cited by research in Infectious Diseases (239 citations), Microbiology (44 citations), Immunology (129 citations), Molecular Medicine (24 citations) and Molecular Biology (274 citations). Nicole E. Putnam has collaborated with scholars based in United States and Nigeria. Frequent co-authors include James E. Cassat, C. Henrique Serezani, Stephanie L. Brandt, Eric P. Skaar, Diane E. Griffin, Daniel J. Snyder, Neal D. Hammer, Caleb A. Ford, Yuki Furuse and Rebecca L. Skalsky. Their work appears in journals such as Journal of Clinical Microbiology, PLoS Pathogens, The Journal of Infectious Diseases, Scientific Reports and Analytical Chemistry.
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.