Roberto D. Lins

78 papers receiving 3.0k citations

Peers

Roberto D. Lins
Comparison fields: 5 of 134
  • Virology 137
  • Molecular Medicine 141
  • Molecular Biology 1.6k
  • Biomaterials 281
  • Infectious Diseases 287
Replace Alexey Kikhney with:
Alexey Kikhney Germany
Cy M. Jeffries Germany
Christine Ebel France
M. Chruszcz United States
Lee Whitmore United Kingdom
Trushar R. Patel Canada
Frank Wien France
Xian‐En Zhang China
Narasimha Sreerama United States
César A. López United States
Roberto D. Lins relative to Alexey Kikhney Germany Alexey Kikhney's profile →
Citations per field
00.5×1.6×
Alexey Kikhney · 1×
Citations per year

Countries citing papers authored by Roberto D. Lins

Since Specialization
Citations

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

Fields of papers citing papers by Roberto D. Lins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roberto D. Lins. 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 Roberto D. Lins. The network helps show where Roberto D. Lins may publish in the future.

Co-authors

The 25 scholars most cited alongside Roberto D. Lins, 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 Roberto D. Lins Line = papers co-authored together Roberto D. Lins links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005255
2 2004210
3 2000193
4 2003170
5 2004156
6 2005140
7 2008135
8 2012124
9 201195
10 200594
11 200192
12 201287
13 200878
14 201773
15 199965
16 201165
17 201759
18 201848
19 201246
20 200443

About Roberto D. Lins

Roberto D. Lins is a scholar working on Molecular Biology, Infectious Diseases, Public Health, Environmental and Occupational Health, Materials Chemistry and Virology, having authored 81 papers that have together received 3.0k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (17 papers), HIV Research and Treatment (11 papers), Mosquito-borne diseases and control (10 papers), Enzyme Structure and Function (9 papers), Glycosylation and Glycoproteins Research (7 papers), HIV/AIDS drug development and treatment (6 papers), Computational Drug Discovery Methods (6 papers) and Lipid Membrane Structure and Behavior (6 papers). The work is most often cited by research in Virology (137 citations), Molecular Medicine (141 citations), Molecular Biology (1.6k citations), Biomaterials (281 citations) and Infectious Diseases (287 citations). Roberto D. Lins has collaborated with scholars based in Brazil, United States and Switzerland. Frequent co-authors include Philippe H. Hünenberger, Tjerk P. Straatsma, Thereza A. Soares, Cristina Silva Pereira, Laércio Pol Fachin, Luiz Carlos Gomide Freitas, Eduardo de Faria Franca, Victor H. Rusu, James M. Briggs and Indira Chandrasekhar. Their work appears in journals such as Journal of Chemical Theory and Computation, Journal of Chemical Information and Modeling, Biopolymers, The Journal of Physical Chemistry B and Journal of Computational Chemistry.

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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