Daniel Sundin
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Infectious Diseases top 5%
- Viral Infections and Vectors
- Clostridium difficile and Clostridium perfringens research
- Viral gastroenteritis research and epidemiology
Papers in
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- Viral Infections and Vectors 7
-
- Vector-Borne Animal Diseases 5
- Co-authors
- Barry J. Beaty (4 shared papers)Laura J. Chandler (1 shared paper)David H.L. Bishop (1 shared paper)Francisco González‐Scarano (2 shared papers)Neal Nathanson (2 shared papers)Jean B. Patel (1 shared paper)Brandon Kitchel (1 shared paper)Walid Khalife (1 shared paper)
- Journals
- American Journal of Hematology (2 papers)Science (2 papers)Microbial Pathogenesis (1 paper)Infection Control and Hospital Epidemiology (1 paper)Microbiome (1 paper)
- Partner nations
- United StatesIsraelGeorgia
In The Last Decade
Daniel Sundin
14 papers receiving 450 citations
Peers
Comparison fields: 5 of 69
- Molecular Medicine 86
- Infectious Diseases 256
- Applied Microbiology and Biotechnology 20
- Endocrinology 40
- Ecology, Evolution, Behavior and Systematics 98
Countries citing papers authored by Daniel Sundin
This map shows the geographic impact of Daniel Sundin'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 Sundin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Sundin more than expected).
Fields of papers citing papers by Daniel Sundin
This network shows the impact of papers produced by Daniel Sundin. 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 Sundin. The network helps show where Daniel Sundin may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Sundin, 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 | 2015 | 128 | |
| 2 | 1985 | 86 | |
| 3 | 1987 | 47 | |
| 4 | 2014 | 35 | |
| 5 | 2009 | 35 | |
| 6 | 1988 | 32 | |
| 7 | 1995 | 30 | |
| 8 | 1988 | 25 | |
| 9 | 2009 | 11 | |
| 10 | 2009 | 11 | |
| 11 | 1989 | 10 | |
| 12 | 1993 | 9 | |
| 13 | 1989 | 6 | |
| 14 | 1999 | 4 | |
| 15 | 1999 | 0 |
About Daniel Sundin
Daniel Sundin is a scholar working on Infectious Diseases, Ecology, Evolution, Behavior and Systematics, Epidemiology, Clinical Biochemistry and Public Health, Environmental and Occupational Health, having authored 15 papers that have together received 469 indexed citations. Recurring topics across this work include Viral Infections and Vectors (7 papers), Vector-Borne Animal Diseases (5 papers), Bacterial Identification and Susceptibility Testing (4 papers), Antibiotic Resistance in Bacteria (4 papers), Mosquito-borne diseases and control (4 papers), Enterobacteriaceae and Cronobacter Research (3 papers), Cytomegalovirus and herpesvirus research (2 papers) and Animal Disease Management and Epidemiology (2 papers). The work is most often cited by research in Molecular Medicine (86 citations), Infectious Diseases (256 citations), Applied Microbiology and Biotechnology (20 citations), Endocrinology (40 citations) and Ecology, Evolution, Behavior and Systematics (98 citations). Daniel Sundin has collaborated with scholars based in United States, Israel and Georgia. Frequent co-authors include Barry J. Beaty, Laura J. Chandler, David H.L. Bishop, Francisco González‐Scarano, Neal Nathanson, Jean B. Patel, Brandon Kitchel, Walid Khalife, Terence L. Marsh and James M. Tiedje. Their work appears in journals such as American Journal of Hematology, Science, Microbial Pathogenesis, Infection Control and Hospital Epidemiology and Microbiome.
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.