Natalia Eberhardt

699 citations
19 papers · 532 · h-index 11

Impact in

Papers in

    • Atherosclerosis and Cardiovascular Diseases 7
    • Phagocytosis and Immune Regulation 1
    • T-cell and B-cell Immunology 1
    • Trypanosoma species research and implications 8

Natalia Eberhardt

17 papers receiving 525 citations

Peers

Natalia Eberhardt
Comparison fields: 5 of 68
  • Biological Psychiatry 48
  • Physiology 46
  • Immunology 118
  • Epidemiology 101
  • Infectious Diseases 55
Replace Carla Enrica Gallenga with:
Carla Enrica Gallenga Italy
Xinxin Du China
Leon E. Toussaint United States
Kathryn Prame Kumar Australia
Mariana Postal Brazil
Ming Ni China
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Citations per field
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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 2019127
2 202382
3 201772
4 201841
5 201635
6 201635
7 202234
8 202323
9 202423
10 201918
11 201911
12 202110
13 20209
14 20228
15 20192
16 20231
17 20251
18 20250
19 20260

About Natalia Eberhardt

Natalia Eberhardt is a scholar working on Immunology, Epidemiology, Physiology, Biological Psychiatry and Infectious Diseases, having authored 19 papers that have together received 532 indexed citations. Recurring topics across this work include Trypanosoma species research and implications (8 papers), Atherosclerosis and Cardiovascular Diseases (7 papers), Adenosine and Purinergic Signaling (3 papers), COVID-19 Clinical Research Studies (2 papers), Tryptophan and brain disorders (1 paper), Phagocytosis and Immune Regulation (1 paper), T-cell and B-cell Immunology (1 paper) and Cardiac Fibrosis and Remodeling (1 paper). The work is most often cited by research in Biological Psychiatry (48 citations), Physiology (46 citations), Immunology (118 citations), Epidemiology (101 citations) and Infectious Diseases (55 citations). Natalia Eberhardt has collaborated with scholars based in Argentina, United States and Germany. Frequent co-authors include María Pilar Aoki, Liliana María Sanmarco, Nicolás Eric Ponce, Laura Marina Visconti, Eugenio Antonio Carrera Silva, Roxana Carolina Cano, Andrea Emilse Errasti, Martín Gustavo Theumer, Leandro Nicolás Grendas and Federico M. Daray. Their work appears in journals such as Frontiers in Immunology, JCI Insight, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, European Heart Journal and Journal of Leukocyte Biology.

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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