Daniel A. Green
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria 8
- Infectious Diseases top 2%
- Clostridium difficile and Clostridium perfringens research 8
- COVID-19 Clinical Research Studies 4
- Antimicrobial Resistance in Staphylococcus 4
- Clinical Biochemistry top 2%
- Bacterial Identification and Susceptibility Testing 7
- Microbiology top 5%
- Bacterial Infections and Vaccines 5
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- Respiratory viral infections research 8
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- Antibiotics Pharmacokinetics and Efficacy 5
- Co-authors
- Susan WhittierMarie C. SmithgallWilliam GreendykeJason ZuckerNiaz BanaeiOmai B. GarnerCarlos A. GómezShangxin Yang
- Journals
- Journal of Clinical Microbiology (13 papers)Clinical Infectious Diseases (4 papers)Open Forum Infectious Diseases (3 papers)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Daniel A. Green
51 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 97
- Applied Microbiology and Biotechnology 131
- Molecular Medicine 185
- Infectious Diseases 599
- Clinical Biochemistry 203
- Microbiology 117
Countries citing papers authored by Daniel A. Green
This map shows the geographic impact of Daniel A. Green'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 Daniel A. Green with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel A. Green more than expected).
Fields of papers citing papers by Daniel A. Green
This network shows the impact of papers produced by Daniel A. Green. 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 Daniel A. Green. The network helps show where Daniel A. Green may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel A. Green, 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 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 1 | |
| 8 | 2022 | 3 | |
| 9 | 2022 | 3 | |
| 10 | 2021 | 7 | |
| 11 | 2020 | 184 | |
| 12 | 2020 | 3 | |
| 13 | 2020 | 4 | |
| 14 | 2019 | 3 | |
| 15 | 2018 | 47 | |
| 16 | 2016 | 26 | |
| 17 | 2013 | 13 | |
| 18 | 2006 | 29 | |
| 19 | 1996 | 50 | |
| 20 | 1991 | 19 |
About Daniel A. Green
Daniel A. Green is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology and Infectious Diseases, having authored 52 papers that have together received 1.3k indexed citations. Recurring topics across this work include Respiratory viral infections research (8 papers), Antibiotic Resistance in Bacteria (8 papers), Clostridium difficile and Clostridium perfringens research (8 papers), Bacterial Identification and Susceptibility Testing (7 papers), Bacterial Infections and Vaccines (5 papers), Antibiotics Pharmacokinetics and Efficacy (5 papers), COVID-19 Clinical Research Studies (4 papers) and Antimicrobial Resistance in Staphylococcus (4 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (131 citations), Molecular Medicine (185 citations) and Infectious Diseases (599 citations). Daniel A. Green has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Susan Whittier, Marie C. Smithgall, William Greendyke, Jason Zucker, Niaz Banaei, Omai B. Garner, Carlos A. Gómez, Shangxin Yang, Benjamin A. Pinsky and Catherine A. Hogan. Their work appears in journals such as Journal of Clinical Microbiology, Clinical Infectious Diseases, Open Forum Infectious Diseases, Journal of the Pediatric Infectious Diseases Society and Gut Pathogens.
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.