Anna Both

40 papers receiving 802 citations

Peers

Anna Both
Comparison fields: 5 of 82
  • Molecular Medicine 243
  • Applied Microbiology and Biotechnology 89
  • Clinical Biochemistry 242
  • Infectious Diseases 284
  • Endocrinology 66
Replace Fevronia Kolonitsiou with:
Fevronia Kolonitsiou Greece
Masoud Dadashi Iran
Dafne Bongiorno Italy
Françoise Chau France
Helen T. Fernandez United States
Sean B. Sullivan United States
Hamid Vaez Iran
Mohammad Taghi Akhi Iran
Liliana Fernández Canigia Argentina
Adam G. Stewart Australia
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Citations per field
00.5×1.7×
Fevronia Kolonitsiou · 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 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202096
2 201784
3 202168
4 201854
5 202148
6 201641
7 202137
8 202134
9 202132
10 201626
11 201826
12 201824
13 201622
14 202120
15 202117
16 201615
17 202014
18 202013
19 202313
20 202011

About Anna Both

Anna Both is a scholar working on Infectious Diseases, Clinical Biochemistry, Molecular Biology, Molecular Medicine and Surgery, having authored 43 papers that have together received 813 indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (17 papers), Antimicrobial Resistance in Staphylococcus (17 papers), Bacterial biofilms and quorum sensing (12 papers), Antibiotic Resistance in Bacteria (12 papers), Orthopedic Infections and Treatments (10 papers), Infective Endocarditis Diagnosis and Management (7 papers), Infectious Diseases and Tuberculosis (5 papers) and Antibiotic Use and Resistance (5 papers). The work is most often cited by research in Molecular Medicine (243 citations), Applied Microbiology and Biotechnology (89 citations), Clinical Biochemistry (242 citations), Infectious Diseases (284 citations) and Endocrinology (66 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, Christina König, Florian P. Maurer, Marc Lütgehetmann 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, Scientific Reports 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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