David M. Jacobs
- Epidemiology top 10%
- Applied Microbiology and Biotechnology top 0.5%
- Geriatrics and Gerontology top 1%
- Infectious Diseases top 10%
- General Health Professions top 10%
- Co-authors
- Christopher J. DalyAmy L. ShaverCollin M. ClarkEmily HartSanjay SethiKatia NoyesJiwei ZhaoHeather M. Ochs‐Balcom
- Topics
- Pharmaceutical Practices and Patient Outcomes (14 papers)Antibiotic Use and Resistance (12 papers)Antimicrobial Resistance in Staphylococcus (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American College of CardiologyClinical Infectious Diseases
- Partner nations
- United StatesDenmarkAustralia
In The Last Decade
David M. Jacobs
66 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 127
- Epidemiology 274
- Applied Microbiology and Biotechnology 251
- Geriatrics and Gerontology 251
- Infectious Diseases 211
- General Health Professions 195
Countries citing papers authored by David M. Jacobs
This map shows the geographic impact of David M. Jacobs'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 David M. Jacobs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David M. Jacobs more than expected).
Fields of papers citing papers by David M. Jacobs
This network shows the impact of papers produced by David M. Jacobs. 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 David M. Jacobs. The network helps show where David M. Jacobs may publish in the future.
Co-authorship network of co-authors of David M. Jacobs
This figure shows the co-authorship network connecting the top 25 collaborators of David M. Jacobs. A scholar is included among the top collaborators of David M. Jacobs 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 David M. Jacobs. David M. Jacobs is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 9 | |
| 7 | 32 | |
| 8 | 11 | |
| 9 | 12 | |
| 10 | 27 | |
| 11 | 19 | |
| 12 | 26 | |
| 13 | 35 | |
| 14 | 2 | |
| 15 | 27 | |
| 16 | 15 | |
| 17 | 21 | |
| 18 | 13 | |
| 19 | 1 | |
| 20 | El enfoque neogibsoniano como marco conceptual y metodológico para el diseño de programas de entrenamiento deportivo | 5 |
About David M. Jacobs
David M. Jacobs is a scholar working on Applied Microbiology and Biotechnology, Family Practice and Geriatrics and Gerontology, having authored 72 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pharmaceutical Practices and Patient Outcomes (14 papers), Antibiotic Use and Resistance (12 papers) and Antimicrobial Resistance in Staphylococcus (9 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (251 citations), Geriatrics and Gerontology (251 citations) and Family Practice (69 citations). David M. Jacobs has collaborated with scholars based in United States, Denmark and Australia. Frequent co-authors include Christopher J. Daly, Amy L. Shaver, Collin M. Clark, Emily Hart, Sanjay Sethi, Katia Noyes, Jiwei Zhao, Heather M. Ochs‐Balcom, Timothy F. Murphy and Diane M. Cappelletty. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and Clinical 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.