Danielle A. Garsin
Impact in
- Aging top 0.05%
- Genetics, Aging, and Longevity in Model Organisms
- Endocrinology top 1%
Papers in
- Aging 19
- Genetics, Aging, and Longevity in Model Organisms 19
-
- Antimicrobial Resistance in Staphylococcus 17
- Antifungal resistance and susceptibility 9
- Co-authors
- Frederick M. AusubelMelissa R. CruzKavindra V. SinghStephen B. CalderwoodCosti D. SifriMichael LorenzDennis H. KimBarbara E. Murray
- Journals
- Infection and Immunity (5 papers)Journal of Bacteriology (5 papers)mBio (5 papers)Genetics (4 papers)The Journal of Infectious Diseases (4 papers)
- Partner nations
- United StatesColombiaSpain
In The Last Decade
Danielle A. Garsin
61 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Aging 1.6k
- Endocrinology 374
- Endocrine and Autonomic Systems 489
- Infectious Diseases 1.1k
- Microbiology 330
Countries citing papers authored by Danielle A. Garsin
This map shows the geographic impact of Danielle A. Garsin'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 Danielle A. Garsin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle A. Garsin more than expected).
Fields of papers citing papers by Danielle A. Garsin
This network shows the impact of papers produced by Danielle A. Garsin. 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 Danielle A. Garsin. The network helps show where Danielle A. Garsin may publish in the future.
Co-authors
The 25 scholars most cited alongside Danielle A. Garsin, 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 | 2024 | 2 | |
| 2 | 2024 | 3 | |
| 3 | 2022 | 20 | |
| 4 | 2021 | 8 | |
| 5 | 2021 | 21 | |
| 6 | 2020 | 19 | |
| 7 | 2019 | 34 | |
| 8 | 2019 | 11 | |
| 9 | 2017 | 180 | |
| 10 | 2014 | 73 | |
| 11 | 2012 | 135 | |
| 12 | 2012 | 14 | |
| 13 | 2012 | 26 | |
| 14 | 2006 | 307 | |
| 15 | 2003 | 465 | |
| 16 | A Conserved p38 MAP Kinase Pathway in Caenorhabditis elegans Innate Immunity Hit paper breakdown → | 2002 | 671 |
| 17 | 2001 | 445 | |
| 18 | 1998 | 38 | |
| 19 | 1998 | 36 | |
| 20 | 1996 | 115 |
About Danielle A. Garsin
Danielle A. Garsin is a scholar working on Aging, Infectious Diseases, Microbiology, Endocrine and Autonomic Systems and Periodontics, having authored 61 papers that have together received 4.9k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (19 papers), Antimicrobial Resistance in Staphylococcus (17 papers), Probiotics and Fermented Foods (12 papers), Bacterial Genetics and Biotechnology (11 papers), Antifungal resistance and susceptibility (9 papers), Bacteriophages and microbial interactions (7 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (7 papers) and Circadian rhythm and melatonin (6 papers). The work is most often cited by research in Aging (1.6k citations), Endocrinology (374 citations), Endocrine and Autonomic Systems (489 citations), Infectious Diseases (1.1k citations) and Microbiology (330 citations). Danielle A. Garsin has collaborated with scholars based in United States, Colombia and Spain. Frequent co-authors include Frederick M. Ausubel, Melissa R. Cruz, Kavindra V. Singh, Stephen B. Calderwood, Costi D. Sifri, Michael Lorenz, Dennis H. Kim, Barbara E. Murray, Violeta Chávez and Xiang Qin. Their work appears in journals such as Infection and Immunity, Journal of Bacteriology, mBio, Genetics and The Journal of Infectious Diseases.
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.