Eva Morfeldt

3.7k citations
26 papers · 1.9k · h-index 19

Impact in

Papers in

    • Pneumonia and Respiratory Infections 15
    • Respiratory viral infections research 4
    • Antimicrobial Resistance in Staphylococcus 11

Eva Morfeldt

26 papers receiving 1.8k citations

Peers

Eva Morfeldt
Comparison fields: 5 of 78
  • Microbiology 355
  • Infectious Diseases 736
  • Epidemiology 720
  • Public Health, Environmental and Occupational Health 327
  • Genetics 339
Replace W. Michael McShan with:
W. Michael McShan United States
Giuliano Bensi Italy
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Orla Hartford Ireland
Aude Antignac France
Fiona Roche Ireland
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Citations per field
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Citations per year

Countries citing papers authored by Eva Morfeldt

Since Specialization
Citations

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

Fields of papers citing papers by Eva Morfeldt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Eva Morfeldt, 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 Eva Morfeldt Line = papers co-authored together Eva Morfeldt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995362
2 1996136
3 1988134
4 2007129
5 2001122
6 2016117
7 2017115
8 201380
9 200177
10 200773
11 201665
12 199865
13 200464
14 200861
15 200157
16 200944
17 200737
18 199628
19 202218
20 201318

About Eva Morfeldt

Eva Morfeldt is a scholar working on Epidemiology, Infectious Diseases, Molecular Biology, Microbiology and Public Health, Environmental and Occupational Health, having authored 26 papers that have together received 1.9k indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (15 papers), Antimicrobial Resistance in Staphylococcus (11 papers), Bacterial Infections and Vaccines (7 papers), Streptococcal Infections and Treatments (4 papers), Bacterial biofilms and quorum sensing (4 papers), Respiratory viral infections research (4 papers), Bacterial Genetics and Biotechnology (4 papers) and Biochemical and Structural Characterization (3 papers). The work is most often cited by research in Microbiology (355 citations), Infectious Diseases (736 citations), Epidemiology (720 citations), Public Health, Environmental and Occupational Health (327 citations) and Genetics (339 citations). Eva Morfeldt has collaborated with scholars based in Sweden, Italy and United Kingdom. Frequent co-authors include Staffan Arvidson, Alexander von Gabain, D. Taylor, Birgitta Henriques‐Normark, Pontus Nauclér, Åke Örtqvist, Jessica Darenberg, Ilias Galanis, Staffan Normark and Sven Löfdahl. Their work appears in journals such as Molecular Microbiology, The Journal of Infectious Diseases, Clinical Infectious Diseases, BMC Microbiology and Journal of Clinical Microbiology.

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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