Elsa Anes

3.2k citations
61 papers · 2.4k indexed · h-index 26

Elsa Anes

60 papers receiving 2.3k citations

Peers

Elsa Anes
Comparison fields: 5 of 121
  • Infectious Diseases 836
  • Microbiology 186
  • Immunology 535
  • Epidemiology 738
  • Molecular Medicine 105
Replace Subramanian Dhandayuthapani with:
Subramanian Dhandayuthapani United States
Murugesan V. S. Rajaram United States
Ikuo Kawamura Japan
Jae–Min Yuk South Korea
Seong Kug Eo South Korea
Sangita Mukhopadhyay India
Brian C. VanderVen United States
Courtney Becker United States
Laurel Lenz United States
Pamela A. Wearsch United States
Elsa Anes relative to Subramanian Dhandayuthapani United States Subramanian Dhandayuthapani's profile →
Citations per field
00.5×3.0×
Subramanian Dhandayuthapani · 1×
Citations per year

Countries citing papers authored by Elsa Anes

Since Specialization
Citations

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

Fields of papers citing papers by Elsa Anes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20244
2 202326
3 20238
4 202319
5 20238
6 20238
7 20236
8 20238
9 202210
10 202222
11 20216
12 201667
13 201668
14 201525
15 200947
16 2008104
17 20086
18 2007107
19 200696
20 2003227

About Elsa Anes

Elsa Anes is a scholar working on Infectious Diseases, Virology, Physiology, Toxicology and Microbiology, having authored 61 papers that have together received 2.4k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (26 papers), Mycobacterium research and diagnosis (22 papers), HIV Research and Treatment (7 papers), Bacteriophages and microbial interactions (6 papers), Antimicrobial Peptides and Activities (5 papers), Cancer therapeutics and mechanisms (4 papers), RNA and protein synthesis mechanisms (4 papers) and Phenothiazines and Benzothiazines Synthesis and Activities (4 papers). The work is most often cited by research in Infectious Diseases (836 citations), Microbiology (186 citations), Immunology (535 citations), Epidemiology (738 citations) and Molecular Medicine (105 citations). Elsa Anes has collaborated with scholars based in Portugal, Germany and France. Frequent co-authors include Gareth Griffiths, David Pires, Mark Kühnel, Bibhuti B. Mishra, José Moniz‐Pereira, Luísa Jordão, Maximiliano G. Gutiérrez, Christopher K. E. Bleck, Luís F. Moita and Avinash Sonawane. Their work appears in journals such as Frontiers in Immunology, Pharmaceuticals, Cellular Microbiology, Antimicrobial Agents and Chemotherapy and International Journal of Molecular Sciences.

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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