Sara M. Dann
- Molecular Biology top 5%
- Immunology top 2%
- Infectious Diseases top 2%
- Physiology top 5%
- Genetics top 5%
- Co-authors
- Tor SavidgeYingzi CongSuxia YaoLars EckmannNuman OezguenPetri UrvilColin G. FergusonDeliang Chen
- Topics
- Clostridium difficile and Clostridium perfringens research (16 papers)Immune Cell Function and Interaction (15 papers)Parasitic Infections and Diagnostics (10 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationNature Communications
- Partner nations
- United StatesChinaGermany
In The Last Decade
Sara M. Dann
50 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Molecular Biology 1.9k
- Immunology 1.0k
- Infectious Diseases 743
- Physiology 465
- Genetics 402
Countries citing papers authored by Sara M. Dann
This map shows the geographic impact of Sara M. Dann'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 Sara M. Dann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sara M. Dann more than expected).
Fields of papers citing papers by Sara M. Dann
This network shows the impact of papers produced by Sara M. Dann. 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 Sara M. Dann. The network helps show where Sara M. Dann may publish in the future.
Co-authorship network of co-authors of Sara M. Dann
This figure shows the co-authorship network connecting the top 25 collaborators of Sara M. Dann. A scholar is included among the top collaborators of Sara M. Dann 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 Sara M. Dann. Sara M. Dann 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 | 34 | |
| 3 | Intestinal microbiota-derived short-chain fatty acids regulation of immune cell IL-22 production and gut immunitybreakdown → | 734 |
| 4 | 6 | |
| 5 | 38 | |
| 6 | 49 | |
| 7 | 27 | |
| 8 | 19 | |
| 9 | Microbiota-derived short-chain fatty acids promote Th1 cell IL-10 production to maintain intestinal homeostasisbreakdown → | 483 |
| 10 | 5 | |
| 11 | Regulation of protein-ligand binding affinity by hydrogen bond pairingbreakdown → | 639 |
| 12 | 65 | |
| 13 | 63 | |
| 14 | 11 | |
| 15 | 52 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 84 | |
| 19 | 156 | |
| 20 | 70 |
About Sara M. Dann
Sara M. Dann is a scholar working on Parasitology, Immunology and Infectious Diseases, having authored 52 papers that have together received 4.1k indexed citations. Recurring topics across this work include Clostridium difficile and Clostridium perfringens research (16 papers), Immune Cell Function and Interaction (15 papers) and Parasitic Infections and Diagnostics (10 papers). The work is most often cited by research in Biological Psychiatry (177 citations), Immunology (1.0k citations) and Parasitology (313 citations). Sara M. Dann has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Tor Savidge, Yingzi Cong, Suxia Yao, Lars Eckmann, Numan Oezguen, Petri Urvil, Colin G. Ferguson, Deliang Chen, Wenjing Yang and Zhanju Liu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.
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.