M.G. Davlieva

721 total citations
21 papers, 485 citations indexed

About

M.G. Davlieva is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, M.G. Davlieva has authored 21 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Genetics and 6 papers in Infectious Diseases. Recurrent topics in M.G. Davlieva's work include Antimicrobial Resistance in Staphylococcus (6 papers), Bacterial Genetics and Biotechnology (6 papers) and Enzyme Structure and Function (5 papers). M.G. Davlieva is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (6 papers), Bacterial Genetics and Biotechnology (6 papers) and Enzyme Structure and Function (5 papers). M.G. Davlieva collaborates with scholars based in United States, Colombia and New Zealand. M.G. Davlieva's co-authors include Yousif Shamoo, César A. Arias, Sergey V. Lindeman, Wanna Zhang, Ulrich Strych, Kurt L. Krause, I.S. Neretin, Jay K. Kochi, Rafael M. Couñago and Hookang Im and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and Journal of Molecular Biology.

In The Last Decade

M.G. Davlieva

21 papers receiving 482 citations

Peers

M.G. Davlieva
Comparison fields: 5 of 69
  • Molecular Biology 266
  • Infectious Diseases 117
  • Materials Chemistry 111
  • Genetics 75
  • Molecular Medicine 60
Replace Matthias Stehr with:
Matthias Stehr Germany
Ivan A.D. Lessard United Kingdom
Gustavo E. Schujman Argentina
M. BLACK United States
Alison J. Maguire United Kingdom
S. Parès France
Klaus‐Peter Koller Germany
Kimberly D. Grimes United States
Michael Gretes Canada
Colin J. Dunsmore United Kingdom
Matthias Stehr Germany View profile →
Citations per field, relative to M.G. Davlieva
M.G. Davlieva · 1×
Citations per year, relative to M.G. Davlieva
M.G. Davlieva · 1×

Countries citing papers authored by M.G. Davlieva

Since Specialization
Citations

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

Fields of papers citing papers by M.G. Davlieva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.G. Davlieva. 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 M.G. Davlieva. The network helps show where M.G. Davlieva may publish in the future.

Co-authorship network of co-authors of M.G. Davlieva

This figure shows the co-authorship network connecting the top 25 collaborators of M.G. Davlieva. A scholar is included among the top collaborators of M.G. Davlieva 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 M.G. Davlieva. M.G. Davlieva 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
# Work Indexed citations
1 20
2 10
3 27
4 1
5 24
6 43
7 32
8 31
9 60
10 26
11 16
12 23
13 33
14 9
15 26
16 15
17 20
18 23
19 21
20 22

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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