Daniela Tudor

2.0k citations
30 papers · 1.7k · h-index 19

Impact in

  • Virology top 1%
    • HIV Research and Treatment
  • Immunology top 5%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology

Papers in

    • HIV Research and Treatment 21
    • Immune Cell Function and Interaction 10
    • Immunotherapy and Immune Responses 2

Daniela Tudor

28 papers receiving 1.6k citations

Peers

Daniela Tudor
Comparison fields: 5 of 91
  • Virology 802
  • Immunology 694
  • Infectious Diseases 329
  • Microbiology 109
  • Radiology, Nuclear Medicine and Imaging 214
Replace Ruizhong Shen with:
Ruizhong Shen United States
Michael B. Agy United States
Leslie J. Parent United States
Timothy W. Baba United States
Josef Eberle Germany
Stephen W. Pyle United States
Enrique A. González Spain
Shinji Harada Japan
Philip M. McKenna United States
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Citations per field
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Ruizhong Shen · 1×
Citations per year

Countries citing papers authored by Daniela Tudor

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Tudor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011257
2 2019230
3 2002162
4 2009125
5 2010123
6 2012115
7 201077
8 201273
9 200468
10 201261
11 201059
12 200643
13 201140
14 201232
15 202030
16 200130
17 201828
18 201326
19 200722
20 200814

About Daniela Tudor

Daniela Tudor is a scholar working on Virology, Immunology, Microbiology, Radiology, Nuclear Medicine and Imaging and Epidemiology, having authored 30 papers that have together received 1.7k indexed citations. Recurring topics across this work include HIV Research and Treatment (21 papers), Immune Cell Function and Interaction (10 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Herpesvirus Infections and Treatments (5 papers), Glycosylation and Glycoproteins Research (4 papers), Antimicrobial Peptides and Activities (3 papers), HIV/AIDS Research and Interventions (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Virology (802 citations), Immunology (694 citations), Infectious Diseases (329 citations), Microbiology (109 citations) and Radiology, Nuclear Medicine and Imaging (214 citations). Daniela Tudor has collaborated with scholars based in France, Italy and United States. Frequent co-authors include Morgane Bomsel, Lucia Lopalco, Yonatan Ganor, Ionelia Țăranu, Daniela Eliza Marin, Lorenzo Diomede, Anne-Sophie Drillet, Huifeng Yu, Zhicheng Zhou and Annette Alfsen. Their work appears in journals such as Mucosal Immunology, Frontiers in Immunology, Retrovirology, Virology and AIDS.

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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