Anna Both

44 papers receiving 942 citations

Peers

Anna Both
Comparison fields: 5 of 51
  • Molecular Medicine 230
  • Clinical Biochemistry 87
  • Infectious Diseases 146
  • Applied Microbiology and Biotechnology 8
  • Surgery 140
Replace Evangelia Lebessi with:
Evangelia Lebessi Greece
Joseph D. Lutgring United States
Kazuhisa Mezaki Japan
D. W. Hecht United States
C. L. Pierson United States
VINCENT A. STEINGRUBE United States
Sabrina Klein Germany
C. Berhin Belgium
Laura A. McDermott United States
Rumyana Donkova Markovska Bulgaria
Anna Both relative to Evangelia Lebessi Greece Evangelia Lebessi's profile →
Citations per field
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Evangelia Lebessi · 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 2020108
2 201790
3 202181
4 201859
5 202157
6 201648
7 202143
8 202139
9 202137
10 202130
11 201829
12 201628
13 201826
14 201622
15 202120
16 202019
17 202319
18 201616
19 202015
20 202013

About Anna Both

Anna Both is a scholar working on Molecular Medicine, Clinical Biochemistry, Infectious Diseases, Surgery and Endocrinology, having authored 45 papers that have together received 958 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (8 papers), Orthopedic Infections and Treatments (6 papers), Antimicrobial Resistance in Staphylococcus (6 papers), Bacterial biofilms and quorum sensing (4 papers), Bacterial Identification and Susceptibility Testing (4 papers), Infections and bacterial resistance (2 papers), Acute Myeloid Leukemia Research (2 papers) and Infectious Diseases and Tuberculosis (2 papers). The work is most often cited by research in Molecular Medicine (230 citations), Clinical Biochemistry (87 citations), Infectious Diseases (146 citations), Applied Microbiology and Biotechnology (8 citations) and Surgery (140 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, Christine Heilmann, Karsten Becker, Marc Lütgehetmann, Christina König, Florian P. Maurer and Laura Berneking. Their work appears in journals such as Diagnostic Microbiology and Infectious Disease, Journal of Antimicrobial Chemotherapy, European Journal of Clinical Microbiology & Infectious Diseases, 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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