Anissa Daliry

725 citations
35 papers · 540 · h-index 16

Impact in

Papers in

Anissa Daliry

31 papers receiving 526 citations

Peers

Anissa Daliry
Comparison fields: 5 of 73
  • Epidemiology 267
  • Public Health, Environmental and Occupational Health 145
  • Toxicology 18
  • Clinical Biochemistry 33
  • Endocrinology, Diabetes and Metabolism 67
Replace José Vicente Pérez-Girón with:
José Vicente Pérez-Girón Spain
J. Carlos Tutor Spain
Nobuo Fuke Japan
Gülçin Toker Türkiye
Zuheir Habbal Lebanon
Nurinnisa Öztürk Türkiye
Maricela Haghiac United States
Helena Kober Brazil
Hayrettin Yekeler Türkiye
Terue Kawabata Japan
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Citations per field
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José Vicente Pérez-Girón · 1×
Citations per year

Countries citing papers authored by Anissa Daliry

Since Specialization
Citations

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

Fields of papers citing papers by Anissa Daliry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201748
2 201237
3 200933
4 201732
5 202229
6 201928
7 201123
8 202122
9 201821
10 200920
11 202120
12 201620
13 201919
14 201618
15 202018
16 201417
17 201615
18 201114
19 202213
20 200812

About Anissa Daliry

Anissa Daliry is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health, Organic Chemistry, Endocrinology, Diabetes and Metabolism and Clinical Biochemistry, having authored 35 papers that have together received 540 indexed citations. Recurring topics across this work include Trypanosoma species research and implications (12 papers), Research on Leishmaniasis Studies (9 papers), Liver Disease Diagnosis and Treatment (8 papers), Synthesis and Biological Evaluation (7 papers), Advanced Glycation End Products research (4 papers), Diet, Metabolism, and Disease (4 papers), Bioactive Compounds and Antitumor Agents (2 papers) and Organ Transplantation Techniques and Outcomes (1 paper). The work is most often cited by research in Epidemiology (267 citations), Public Health, Environmental and Occupational Health (145 citations), Toxicology (18 citations), Clinical Biochemistry (33 citations) and Endocrinology, Diabetes and Metabolism (67 citations). Anissa Daliry has collaborated with scholars based in Brazil, United States and Netherlands. Frequent co-authors include Eduardo Tibiriçá, Vanessa Estato, Maria de Nazaré Correia Soeiro, Juliana Pereira Borges, Solange L. de Castro, Marcos Meuser Batista, Cassiano Felippe Gonçalves-de-Albuquerque, Marcos Adriano Lessa, Kelly Salomão and Gabriel Melo de Oliveira. Their work appears in journals such as PLoS ONE, Nutrients, Frontiers in Physiology, Parasitology and Diabetes Metabolic Syndrome and Obesity.

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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