Konstantinos Beis

4.6k citations
67 papers · 3.1k indexed · h-index 31
Topics
Antibiotic Resistance in Bacteria (22 papers)Bacterial Genetics and Biotechnology (20 papers)Drug Transport and Resistance Mechanisms (16 papers)

In The Last Decade

Konstantinos Beis

66 papers receiving 3.0k citations

Peers

Konstantinos Beis
Comparison fields: 5 of 130
  • Molecular Biology 1.7k
  • Molecular Medicine 604
  • Genetics 596
  • Oncology 395
  • Ecology 382
Replace Zhao Wang with:
Zhao Wang China
Lutz Schmitt Germany
Chih‐Chia Su United States
Vasili Hauryliuk Sweden
Bert van den Berg United Kingdom
Andrew L. Lovering United Kingdom
Thomas Dick Singapore
Changjiang Dong United Kingdom
Markus A. Seeger Switzerland
Walid A. Houry Canada
Konstantinos Beis relative to Zhao Wang China Zhao Wang's profile →
Citations per field
00.5×1.5×1.8×
Zhao Wang · 1×
Citations per year

Countries citing papers authored by Konstantinos Beis

Since Specialization
Citations

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

Fields of papers citing papers by Konstantinos Beis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Konstantinos Beis

This figure shows the co-authorship network connecting the top 25 collaborators of Konstantinos Beis. A scholar is included among the top collaborators of Konstantinos Beis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Konstantinos Beis. Konstantinos Beis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 1
4 13
5 21
6 2
7 0
8 14
9 26
10 59
11 2
12 13
13 32
14 29
15 100
16 4
17 115
18 279
19 76
20 87

About Konstantinos Beis

Konstantinos Beis is a scholar working on Molecular Medicine, Endocrinology and Genetics, having authored 67 papers that have together received 3.1k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (22 papers), Bacterial Genetics and Biotechnology (20 papers) and Drug Transport and Resistance Mechanisms (16 papers). The work is most often cited by research in Molecular Medicine (604 citations), Endocrinology (334 citations) and Microbiology (255 citations). Konstantinos Beis has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include James H. Naismith, So Iwata, Chris Whitfield, Alexander D. Cameron, Elisabeth P. Carpenter, Robert C. Ford, Sylvie Rebuffat, Bradley R. Clarke, Changjiang Dong and Hassanul G. Choudhury. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

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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