Nathali Grageda

755 citations
6 papers · 382 · h-index 6

Impact in

    • Renal Transplantation Outcomes and Treatments
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

    • Immune Cell Function and Interaction 5
    • T-cell and B-cell Immunology 4
    • Immunotherapy and Immune Responses 3
    • HIV Research and Treatment 2

Nathali Grageda

6 papers receiving 380 citations

Peers

Nathali Grageda
Comparison fields: 5 of 55
  • Transplantation 37
  • Immunology 241
  • Virology 17
  • Oncology 90
  • Hepatology 15
Replace Zhonghua Klaus Chen with:
Zhonghua Klaus Chen China
Patrick Miqueu France
S Kim South Korea
Alexandre Bignon France
Madhav Kishore United Kingdom
Todd Rouse United States
Marrie J. Kardol Netherlands
David F. Pinelli United States
Marieta Chan Singapore
Isaac Snowhite United States
Nathali Grageda relative to Zhonghua Klaus Chen China Zhonghua Klaus Chen's profile →
Citations per field
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Zhonghua Klaus Chen · 1×
Citations per year

Countries citing papers authored by Nathali Grageda

Since Specialization
Citations

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

Fields of papers citing papers by Nathali Grageda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 2017132
2 2018109
3 202060
4 201857
5 201317
6 20087

About Nathali Grageda

Nathali Grageda is a scholar working on Immunology, Virology, Infectious Diseases, Molecular Biology and Transplantation, having authored 6 papers that have together received 382 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (4 papers), Immunotherapy and Immune Responses (3 papers), HIV Research and Treatment (2 papers), HIV/AIDS drug development and treatment (1 paper), Transgenic Plants and Applications (1 paper), vaccines and immunoinformatics approaches (1 paper) and Renal Transplantation Outcomes and Treatments (1 paper). The work is most often cited by research in Transplantation (37 citations), Immunology (241 citations), Virology (17 citations), Oncology (90 citations) and Hepatology (15 citations). Nathali Grageda has collaborated with scholars based in United Kingdom and France. Frequent co-authors include Robert I. Lechler, Cristiano Scottà, Giovanna Lombardi, Sarah Thirkell, Laura Fry, Niloufar Safinia, Daniela Mastronicola, Muhammad Atif, Giovanni A. M. Povoleri and Makoto Miyara. Their work appears in journals such as Frontiers in Immunology, Molecular Therapy — Methods & Clinical Development, Cell Reports, Journal of Immunological Methods and European Journal of Immunology.

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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