M.V.B. Dias

52 papers receiving 828 citations

Peers

M.V.B. Dias
Comparison fields: 5 of 86
  • Infectious Diseases 203
  • Computational Theory and Mathematics 150
  • Pharmacology 159
  • Molecular Biology 599
  • Software 26
Replace Eduardo Habib Bechelane Maia with:
Eduardo Habib Bechelane Maia Brazil
Luís Fernando Saraiva Macedo Timmers Brazil
Sandeep Sundriyal India
Jan Blanchard Canada
Prem Prakash Kushwaha India
Marcelo S. Castilho Brazil
Rodrigo G. Ducati Brazil
Shahzaib Ahamad India
Ying‐Ta Wu Taiwan
Kondapalli Venkata Gowri Chandra Sekhar India
M.V.B. Dias relative to Eduardo Habib Bechelane Maia Brazil Eduardo Habib Bechelane Maia's profile →
Citations per field
00.5×6.6×
Eduardo Habib Bechelane Maia · 1×
Citations per year

Countries citing papers authored by M.V.B. Dias

Since Specialization
Citations

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

Fields of papers citing papers by M.V.B. Dias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.V.B. Dias. 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.V.B. Dias. The network helps show where M.V.B. Dias may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200448
2 200748
3 200347
4 201847
5 200945
6 200743
7 201543
8 201135
9 200334
10 201329
11 200629
12 200629
13 200328
14 200628
15 201926
16 201023
17 201718
18 201518
19 200418
20 202014

About M.V.B. Dias

M.V.B. Dias is a scholar working on Molecular Biology, Infectious Diseases, Materials Chemistry, Pharmacology and Epidemiology, having authored 53 papers that have together received 844 indexed citations. Recurring topics across this work include Biochemical and Molecular Research (26 papers), Enzyme Structure and Function (14 papers), Tuberculosis Research and Epidemiology (13 papers), Microbial Natural Products and Biosynthesis (12 papers), Bacterial Genetics and Biotechnology (5 papers), HIV/AIDS drug development and treatment (5 papers), Mycobacterium research and diagnosis (4 papers) and Cytomegalovirus and herpesvirus research (4 papers). The work is most often cited by research in Infectious Diseases (203 citations), Computational Theory and Mathematics (150 citations), Pharmacology (159 citations), Molecular Biology (599 citations) and Software (26 citations). M.V.B. Dias has collaborated with scholars based in Brazil, United Kingdom and Colombia. Frequent co-authors include Luiz Augusto Basso, Diógenes Santiago Santos, Walter Filgueira de Azevedo, Mário Sérgio Palma, Fernanda Canduri, Tom L. Blundell, Peter F. Leadlay, Fanglu Huang, Gerardo Andrés Libreros-Zúñiga and Maria Anita Mendes. Their work appears in journals such as ChemMedChem, Acta Crystallographica Section D Structural Biology, Biochemical and Biophysical Research Communications, ACS Chemical Biology and Journal of Structural Biology.

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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