Tom Wiklund
Impact in
- Endocrinology top 0.5%
- Vibrio bacteria research studies
- Infections and bacterial resistance
- Microbiology top 1%
- Microbial infections and disease research
Papers in
- Immunology 48
- Aquaculture disease management and microbiota 48
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- Vibrio bacteria research studies 20
- Co-authors
- Inger Dalsgaard (17 shared papers)J Madetoja (7 shared papers)Göran Bylund (7 shared papers)Krister Sundell (10 shared papers)Lone Madsen (6 shared papers)Morten Sichlau Bruun (1 shared paper)Eva Högfors‐Rönnholm (3 shared papers)Mathias Middelboe (5 shared papers)
In The Last Decade
Tom Wiklund
52 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 84
- Endocrinology 611
- Microbiology 445
- Immunology 1.3k
- Aquatic Science 216
- Ecology 380
Countries citing papers authored by Tom Wiklund
This map shows the geographic impact of Tom Wiklund'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 Tom Wiklund with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Wiklund more than expected).
Fields of papers citing papers by Tom Wiklund
This network shows the impact of papers produced by Tom Wiklund. 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 Tom Wiklund. The network helps show where Tom Wiklund may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom Wiklund, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 194 | |
| 2 | 2000 | 103 | |
| 3 | 2000 | 99 | |
| 4 | 2002 | 82 | |
| 5 | 2003 | 57 | |
| 6 | 2011 | 49 | |
| 7 | 2018 | 49 | |
| 8 | 2001 | 48 | |
| 9 | 1990 | 47 | |
| 10 | 2002 | 43 | |
| 11 | 2017 | 42 | |
| 12 | 2002 | 40 | |
| 13 | 1996 | 40 | |
| 14 | 2019 | 39 | |
| 15 | 2005 | 39 | |
| 16 | 2019 | 36 | |
| 17 | Isolation of Cytophaga psychrophila (Flexibacter psychrophilus) from wild and farmed rainbow trout (Oncorhynchus mykiss) in Finland. | 1994 | 35 |
| 18 | 2021 | 33 | |
| 19 | 2009 | 28 | |
| 20 | 2015 | 28 |
About Tom Wiklund
Tom Wiklund is a scholar working on Immunology, Endocrinology, Molecular Biology, Ecology and Microbiology, having authored 52 papers that have together received 1.6k indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (48 papers), Vibrio bacteria research studies (20 papers), Microbial infections and disease research (16 papers), Identification and Quantification in Food (10 papers), Bacteriophages and microbial interactions (10 papers), Parasite Biology and Host Interactions (5 papers), Myxozoan Parasites in Aquatic Species (5 papers) and Microbial Metabolism and Applications (4 papers). The work is most often cited by research in Endocrinology (611 citations), Microbiology (445 citations), Immunology (1.3k citations), Aquatic Science (216 citations) and Ecology (380 citations). Tom Wiklund has collaborated with scholars based in Finland, Denmark and Norway. Frequent co-authors include Inger Dalsgaard, J Madetoja, Göran Bylund, Krister Sundell, Lone Madsen, Morten Sichlau Bruun, Eva Högfors‐Rönnholm, Mathias Middelboe, Daniel Castillo and J. Lom. Their work appears in journals such as Diseases of Aquatic Organisms, Journal of Fish Diseases, Frontiers in Microbiology, Aquaculture and Fish & Shellfish 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.