Natalia Eberhardt

18 papers receiving 382 citations

Peers

Natalia Eberhardt
Comparison fields: 5 of 80
  • Biological Psychiatry 74
  • Behavioral Neuroscience 42
  • Physiology 46
  • Immunology 110
  • Neurology 29
Replace Fabrícia Lima Fontes-Dantas with:
Fabrícia Lima Fontes-Dantas Brazil
Paulo Pacheco Brazil
Mahmoud L. Soliman United States
S. Duleu France
Anika Müller Germany
Marcela Davoli-Ferreira Brazil
Mary E. Hilburger United States
Sonia Nuñez United States
György Seprényi Hungary
Vânia Brazão Brazil
Natalia Eberhardt relative to Fabrícia Lima Fontes-Dantas Brazil Fabrícia Lima Fontes-Dantas's profile →
Citations per field
00.5×3.3×
Fabrícia Lima Fontes-Dantas · 1×
Citations per year

Countries citing papers authored by Natalia Eberhardt

Since Specialization
Citations

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

Fields of papers citing papers by Natalia Eberhardt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2019116
2 201766
3 201839
4 201634
5 201631
6 202227
7 201916
8 202412
9 20199
10 20218
11 20208
12 20227
13 20193
14 20242
15 20241
16 20241
17 20231
18 20251
19 20230

About Natalia Eberhardt

Natalia Eberhardt is a scholar working on Epidemiology, Immunology, Public Health, Environmental and Occupational Health, Physiology and Organic Chemistry, having authored 19 papers that have together received 382 indexed citations. Recurring topics across this work include Trypanosoma species research and implications (9 papers), Atherosclerosis and Cardiovascular Diseases (5 papers), Adenosine and Purinergic Signaling (4 papers), Research on Leishmaniasis Studies (4 papers), Immune Cell Function and Interaction (4 papers), Synthesis and Biological Evaluation (3 papers), Galectins and Cancer Biology (2 papers) and COVID-19 Impact on Reproduction (2 papers). The work is most often cited by research in Biological Psychiatry (74 citations), Behavioral Neuroscience (42 citations), Physiology (46 citations), Immunology (110 citations) and Neurology (29 citations). Natalia Eberhardt has collaborated with scholars based in Argentina, United States and Czechia. Frequent co-authors include María Pilar Aoki, Liliana M. Sanmarco, Nicolás Eric Ponce, Laura Visconti, Roxana Carolina Cano, Eugenio Antonio Carrera Silva, Leandro Nicolás Grendas, Federico M. Daray, Andrea Emilse Errasti and Martín G. Theumer. Their work appears in journals such as Arteriosclerosis Thrombosis and Vascular Biology, Frontiers in Immunology, The Journal of Immunology, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease and European Journal of Pharmaceutical 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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