Mariana M. Chaves

702 citations
17 papers · 548 indexed · h-index 11

Mariana M. Chaves

15 papers receiving 544 citations

Peers

Mariana M. Chaves
Comparison fields: 5 of 71
  • Physiology 169
  • Parasitology 55
  • Public Health, Environmental and Occupational Health 224
  • Immunology 151
  • Obstetrics and Gynecology 45
Replace Aline Cristina Abreu Moreira-Souza with:
Aline Cristina Abreu Moreira-Souza Brazil
Larry Johnson United States
Nicolás Eric Ponce Argentina
Leslie Stephens United States
Pin Wan China
Silvia Lucena Lage United States
Payel Sil United States
Caterina E. Faliti United States
M J Hong United States
María Meneghini Spain
Mariana M. Chaves relative to Aline Cristina Abreu Moreira-Souza Brazil Aline Cristina Abreu Moreira-Souza's profile →
Citations per field
00.5×4.5×
Aline Cristina Abreu Moreira-Souza · 1×
Citations per year

Countries citing papers authored by Mariana M. Chaves

Since Specialization
Citations

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

Fields of papers citing papers by Mariana M. Chaves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

17 of 17 papers shown
#Work
1 20252
2 20250
3 20215
4 20216
5 202064
6 202049
7 20202
8 201918
9 201941
10 201813
11 201795
12 201621
13 201453
14 201130
15 2011113
16 201136
17 20090

About Mariana M. Chaves

Mariana M. Chaves is a scholar working on Physiology, Equine and Obstetrics and Gynecology, having authored 17 papers that have together received 548 indexed citations. Recurring topics across this work include Research on Leishmaniasis Studies (11 papers), Adenosine and Purinergic Signaling (8 papers), COVID-19 Impact on Reproduction (4 papers), Trypanosoma species research and implications (3 papers), Eosinophilic Esophagitis (2 papers), Reproductive System and Pregnancy (2 papers), Urticaria and Related Conditions (2 papers) and IL-33, ST2, and ILC Pathways (2 papers). The work is most often cited by research in Physiology (169 citations), Parasitology (55 citations) and Public Health, Environmental and Occupational Health (224 citations). Mariana M. Chaves has collaborated with scholars based in Brazil, United States and Czechia. Frequent co-authors include Robson Coutinho‐Silva, Camila Marques-da-Silva, David L. Sacks, Marília Zaluar P. Guimarães, Newton G. Castro, Cláudio Canetti, Olena Kamenyeva, Frederick O. Cope, Audrey Romano and Mélanie Charmoy. Their work appears in journals such as The Journal of Experimental Medicine, The Journal of Immunology and PLoS ONE.

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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