Isabel D. Alves

3.7k citations
86 papers · 2.9k indexed · h-index 33
Topics
Lipid Membrane Structure and Behavior (41 papers)RNA Interference and Gene Delivery (32 papers)Advanced biosensing and bioanalysis techniques (22 papers)

In The Last Decade

Isabel D. Alves

86 papers receiving 2.9k citations

Peers

Isabel D. Alves
Comparison fields: 5 of 124
  • Molecular Biology 2.3k
  • Microbiology 567
  • Cellular and Molecular Neuroscience 379
  • Biomaterials 247
  • Immunology 237
Replace Margus Pooga with:
Margus Pooga Estonia
Jehangir S. Wadia United States
Toshihide Takeuchi Japan
Sandrine Sagan France
Henri G. Franquelim Germany
Henry D. Herce United States
Mattias Hällbrink Sweden
Míriam Royo Spain
Elin K. Esbjörner Sweden
Denise V. Greathouse United States
Isabel D. Alves relative to Margus Pooga Estonia Margus Pooga's profile →
Citations per field
00.5×1.5×
Margus Pooga · 1×
Citations per year

Countries citing papers authored by Isabel D. Alves

Since Specialization
Citations

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

Fields of papers citing papers by Isabel D. Alves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Isabel D. Alves

This figure shows the co-authorship network connecting the top 25 collaborators of Isabel D. Alves. A scholar is included among the top collaborators of Isabel D. Alves 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 Isabel D. Alves. Isabel D. Alves 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 4
2 46
3 40
4 9
5 25
6 31
7 7
8 61
9 2
10 88
11 59
12 60
13 38
14 26
15 28
16 75
17 91
18 13
19 21
20 47

About Isabel D. Alves

Isabel D. Alves is a scholar working on Microbiology, Cellular and Molecular Neuroscience and Molecular Biology, having authored 86 papers that have together received 2.9k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (41 papers), RNA Interference and Gene Delivery (32 papers) and Advanced biosensing and bioanalysis techniques (22 papers). The work is most often cited by research in Microbiology (567 citations), Molecular Biology (2.3k citations) and Cellular and Molecular Neuroscience (379 citations). Isabel D. Alves has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Sandrine Sagan, Gérard Chassaing, Fabienne Burlina, Gordon Tollin, Victor J. Hruby, Chenyu Jiao, Zdzislaw Salamon, Astrid Walrant, Marie‐Lise Jobin and Sophie Lecomte. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Angewandte Chemie International Edition.

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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