Anna Aspán
- Microbiology top 0.5%
- Microbial infections and disease research 25
- Endocrinology top 1%
- Escherichia coli research studies 23
- Parasitology top 1%
- Vector-borne infectious diseases 21
- Infectious Diseases top 1%
- Viral Infections and Vectors 13
- Viral gastroenteritis research and epidemiology 13
- Clostridium difficile and Clostridium perfringens research 13
- Small Animals top 0.5%
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- Streptococcal Infections and Treatments 18
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- Salmonella and Campylobacter epidemiology 18
- Co-authors
- Kenneth SöderhällA. GunnarssonViveca BåverudErik ErikssonKarin Persson WallerTien‐Shang HuangLage CereniusJohn Pringle
- Journals
- Veterinary Microbiology (17 papers)Acta veterinaria Scandinavica (10 papers)Epidemiology and Infection (7 papers)
- Partner nations
- SwedenUnited KingdomFrance
In The Last Decade
Anna Aspán
126 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 117
- Microbiology 601
- Endocrinology 483
- Parasitology 606
- Infectious Diseases 1.2k
- Small Animals 447
Countries citing papers authored by Anna Aspán
This map shows the geographic impact of Anna Aspán'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 Anna Aspán with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Aspán more than expected).
Fields of papers citing papers by Anna Aspán
This network shows the impact of papers produced by Anna Aspán. 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 Anna Aspán. The network helps show where Anna Aspán may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Anna Aspán, 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 | 2023 | 7 | |
| 3 | MALDI-TOF MS: A diagnostic tool for identification of bacterial fish pathogens | 2020 | 14 |
| 4 | 2019 | 9 | |
| 5 | 2018 | 14 | |
| 6 | 2018 | 6 | |
| 7 | 2015 | 21 | |
| 8 | 2014 | 24 | |
| 9 | 2013 | 31 | |
| 10 | 2011 | 110 | |
| 11 | Detektion af Dichelobacter nodosus og sanering for ondartet klovsyge i tre danske fårebesætninger | 2011 | 2 |
| 12 | 2011 | 13 | |
| 13 | 2010 | 97 | |
| 14 | 2009 | 51 | |
| 15 | 2008 | 13 | |
| 16 | 2006 | 49 | |
| 17 | 2006 | 8 | |
| 18 | 2005 | 18 | |
| 19 | 2005 | 38 | |
| 20 | 1999 | 54 |
About Anna Aspán
Anna Aspán is a scholar working on Endocrinology, Microbiology and Parasitology, having authored 129 papers that have together received 4.0k indexed citations. Recurring topics across this work include Microbial infections and disease research (25 papers), Escherichia coli research studies (23 papers), Vector-borne infectious diseases (21 papers), Streptococcal Infections and Treatments (18 papers), Salmonella and Campylobacter epidemiology (18 papers), Viral Infections and Vectors (13 papers), Viral gastroenteritis research and epidemiology (13 papers) and Clostridium difficile and Clostridium perfringens research (13 papers). The work is most often cited by research in Microbiology (601 citations), Endocrinology (483 citations) and Parasitology (606 citations). Anna Aspán has collaborated with scholars based in Sweden, United Kingdom and France. Frequent co-authors include Kenneth Söderhäll, A. Gunnarsson, Viveca Båverud, Erik Eriksson, Karin Persson Waller, Tien‐Shang Huang, Lage Cerenius, John Pringle, Martin Hall and Ann-Kristin Nyman. Their work appears in journals such as Veterinary Microbiology, Acta veterinaria Scandinavica, Epidemiology and Infection, Veterinary Record and BMC Veterinary Research.
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.