Anja Persson

4.1k citations
26 papers · 1.9k indexed · 1 hit paper · h-index 18

Anja Persson

26 papers receiving 1.9k citations

Hit Papers

A Genecentric Human Protein Atlas for Expression Profiles...5012008202620142020100200300400500

Peers

Anja Persson
Comparison fields: 5 of 113
  • Microbiology 303
  • Molecular Biology 1.2k
  • Hematology 169
  • Radiology, Nuclear Medicine and Imaging 288
  • Immunology 250
Replace Heinrich Gausepohlꝉ with:
Heinrich Gausepohlꝉ Germany
Philip R. Gafken United States
George M. C. Janssen Netherlands
Christina E.M. Voorter Netherlands
Henry Zebroski United States
Ivan Lefkovits Switzerland
Morten Källberg United States
Peter Donner Germany
M A Brown United States
Paolo Monaci Italy
Anja Persson relative to Heinrich Gausepohlꝉ Germany Heinrich Gausepohlꝉ's profile →
Citations per field
00.5×6.6×
Heinrich Gausepohlꝉ · 1×
Citations per year

Countries citing papers authored by Anja Persson

Since Specialization
Citations

This map shows the geographic impact of Anja Persson'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 Anja Persson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anja Persson more than expected).

Fields of papers citing papers by Anja Persson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anja Persson. 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 Anja Persson. The network helps show where Anja Persson may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Anja Persson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Anja Persson Line = papers co-authored together Anja Persson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201927
2 201417
3 201440
4 201227
5 201226
6 201147
7 201027
8 201014
9 201011
10 2009329
11 200920
12 200995
13
A Genecentric Human Protein Atlas for Expression Profiles Based on Antibodiesbreakdown →
2008501
14 200758
15 200514
16 2005198
17 200417
18 2004151
19 200211
20 19971

About Anja Persson

Anja Persson is a scholar working on Microbiology, Ecology and Immunology, having authored 26 papers that have together received 1.9k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (13 papers), Microbial infections and disease research (13 papers), Aquaculture disease management and microbiota (7 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Advanced Biosensing Techniques and Applications (3 papers), Glycosylation and Glycoproteins Research (2 papers), Advanced biosensing and bioanalysis techniques (2 papers) and Mycobacterium research and diagnosis (2 papers). The work is most often cited by research in Microbiology (303 citations), Molecular Biology (1.2k citations) and Hematology (169 citations). Anja Persson has collaborated with scholars based in Sweden, United Kingdom and Germany. Frequent co-authors include Mathias Uhlén, Jenny Ottosson, Sophia Hober, Peter Nilsson, Caroline Kampf, Kenneth Wester, Fredrik Pontén, Henrik Wernérus, Erik Björling and Anna Asplund. Their work appears in journals such as Molecular & Cellular Proteomics, PROTEOMICS, Clinical and Vaccine Immunology, Veterinary Microbiology and Journal of Bacteriology.

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.

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