Daniel M. Wall
Impact in
- Endocrinology top 2%
- Vibrio bacteria research studies
- Escherichia coli research studies
- Biotechnology top 5%
- Cancer Research and Treatments
Papers in
-
- Escherichia coli research studies 8
- Vibrio bacteria research studies 5
-
- Gut microbiota and health 7
- Co-authors
- Beth A. McCormick (7 shared papers)Chittur V. Srikanth (2 shared papers)Hai Ning Shi (2 shared papers)Wim G. Meijer (2 shared papers)Simon Milling (8 shared papers)Karen L. Mumy (2 shared papers)Anne McIntosh (5 shared papers)Michael J. Ormsby (6 shared papers)
- Journals
- Microbiology (5 papers)Infection and Immunity (2 papers)Cellular Microbiology (2 papers)Mucosal Immunology (2 papers)The Journal of Immunology (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Daniel M. Wall
31 papers receiving 701 citations
Peers
Comparison fields: 5 of 85
- Endocrinology 178
- Biotechnology 107
- Infectious Diseases 161
- Food Science 158
- Molecular Medicine 29
Countries citing papers authored by Daniel M. Wall
This map shows the geographic impact of Daniel M. Wall'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 M. Wall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel M. Wall more than expected).
Fields of papers citing papers by Daniel M. Wall
This network shows the impact of papers produced by Daniel M. Wall. 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 M. Wall. The network helps show where Daniel M. Wall may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel M. Wall, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 88 | |
| 2 | 2005 | 56 | |
| 3 | 2007 | 55 | |
| 4 | 2010 | 52 | |
| 5 | 2019 | 51 | |
| 6 | 2018 | 47 | |
| 7 | 2014 | 44 | |
| 8 | 2002 | 33 | |
| 9 | 2021 | 32 | |
| 10 | 2017 | 32 | |
| 11 | 2013 | 29 | |
| 12 | 2008 | 28 | |
| 13 | 2017 | 26 | |
| 14 | 2015 | 25 | |
| 15 | 2020 | 19 | |
| 16 | 2019 | 16 | |
| 17 | 2018 | 14 | |
| 18 | 2015 | 12 | |
| 19 | 2021 | 11 | |
| 20 | 2022 | 11 |
About Daniel M. Wall
Daniel M. Wall is a scholar working on Endocrinology, Molecular Biology, Infectious Diseases, Genetics and Food Science, having authored 32 papers that have together received 714 indexed citations. Recurring topics across this work include Escherichia coli research studies (8 papers), Gut microbiota and health (7 papers), Salmonella and Campylobacter epidemiology (6 papers), Vibrio bacteria research studies (5 papers), Viral gastroenteritis research and epidemiology (4 papers), Cancer Research and Treatments (4 papers), Inflammatory Bowel Disease (4 papers) and Nanoplatforms for cancer theranostics (3 papers). The work is most often cited by research in Endocrinology (178 citations), Biotechnology (107 citations), Infectious Diseases (161 citations), Food Science (158 citations) and Molecular Medicine (29 citations). Daniel M. Wall has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Beth A. McCormick, Chittur V. Srikanth, Hai Ning Shi, Wim G. Meijer, Simon Milling, Karen L. Mumy, Anne McIntosh, Michael J. Ormsby, John F. Prescott and Christopher L. Dupont. Their work appears in journals such as Microbiology, Infection and Immunity, Cellular Microbiology, Mucosal Immunology and The Journal of Immunology.
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.