Anna Both

44 papers receiving 927 citations

Peers

Anna Both
Comparison fields: 5 of 86
  • Molecular Medicine 235
  • Clinical Biochemistry 222
  • Applied Microbiology and Biotechnology 53
  • Infectious Diseases 288
  • Endocrinology 59
Replace Dafne Bongiorno with:
Dafne Bongiorno Italy
Masoud Dadashi Iran
Ping-Cherng Chiang Taiwan
T. Schülin Netherlands
Manica Mueller‐Premru Slovenia
Evangelia Lebessi Greece
Isabella A. Tickler United States
Björn A. Espedido Australia
Paula J. Gray United States
Soraya Mendoza-Olazarán Mexico
Anna Both relative to Dafne Bongiorno Italy Dafne Bongiorno's profile →
Citations per field
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Dafne Bongiorno · 1×
Citations per year

Countries citing papers authored by Anna Both

Since Specialization
Citations

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

Fields of papers citing papers by Anna Both

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020107
2 201790
3 202180
4 201859
5 202155
6 201646
7 202143
8 202138
9 202136
10 202129
11 201827
12 201627
13 201826
14 201622
15 202120
16 202318
17 202018
18 201616
19 202015
20 202013

About Anna Both

Anna Both is a scholar working on Clinical Biochemistry, Infectious Diseases, Molecular Medicine, Surgery and Epidemiology, having authored 45 papers that have together received 940 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (17 papers), Bacterial Identification and Susceptibility Testing (14 papers), Bacterial biofilms and quorum sensing (12 papers), Antibiotic Resistance in Bacteria (9 papers), Orthopedic Infections and Treatments (9 papers), Infective Endocarditis Diagnosis and Management (5 papers), Infectious Diseases and Tuberculosis (4 papers) and Antibiotics Pharmacokinetics and Efficacy (2 papers). The work is most often cited by research in Molecular Medicine (235 citations), Clinical Biochemistry (222 citations), Applied Microbiology and Biotechnology (53 citations), Infectious Diseases (288 citations) and Endocrinology (59 citations). Anna Both has collaborated with scholars based in Germany, United States and Denmark. Frequent co-authors include Holger Rohde, Martin Aepfelbacher, Martin Christner, Henning Büttner, Karsten Becker, Christine Heilmann, Marc Lütgehetmann, Christina König, Florian P. Maurer and Laura Berneking. Their work appears in journals such as Diagnostic Microbiology and Infectious Disease, European Journal of Clinical Microbiology & Infectious Diseases, Journal of Antimicrobial Chemotherapy, Journal of Clinical Microbiology and International Journal of Medical 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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