Daniela Achkova

999 citations
13 papers · 666 · h-index 9

Impact in

  • Immunology top 10%
    • Galectins and Cancer Biology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Immune cells in cancer
    • Allergic Rhinitis and Sensitization

Papers in

    • Immune Cell Function and Interaction 3
    • Galectins and Cancer Biology 2
    • Immunotherapy and Immune Responses 2
    • CAR-T cell therapy research 6

Daniela Achkova

13 papers receiving 661 citations

Peers

Daniela Achkova
Comparison fields: 5 of 65
  • Immunology 368
  • Immunology and Allergy 71
  • Oncology 253
  • Dermatology 42
  • Molecular Biology 303
Replace Rajiv D. Kalraiya with:
Rajiv D. Kalraiya India
Yadong Wei United States
Nandini Mondal United States
Christie Fanton United States
So Ohta Japan
Stefanie Loeser Austria
Uri Barash Israel
Ane Orrantia Spain
Francesca Zammarchi United Kingdom
Maureen Dougher United States
Daniela Achkova relative to Rajiv D. Kalraiya India Rajiv D. Kalraiya's profile →
Citations per field
00.5×4.4×
Rajiv D. Kalraiya · 1×
Citations per year

Countries citing papers authored by Daniela Achkova

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Achkova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2016283
2 201691
3 201886
4 201752
5 201752
6 201838
7 202025
8 201615
9 20228
10 20178
11 20175
12 20122
13 20151

About Daniela Achkova

Daniela Achkova is a scholar working on Immunology, Oncology, Molecular Biology, Biomedical Engineering and Pulmonary and Respiratory Medicine, having authored 13 papers that have together received 666 indexed citations. Recurring topics across this work include CAR-T cell therapy research (6 papers), Glycosylation and Glycoproteins Research (3 papers), Immune Cell Function and Interaction (3 papers), Graphene and Nanomaterials Applications (2 papers), Allergic Rhinitis and Sensitization (2 papers), Galectins and Cancer Biology (2 papers), Immunotherapy and Immune Responses (2 papers) and Asthma and respiratory diseases (2 papers). The work is most often cited by research in Immunology (368 citations), Immunology and Allergy (71 citations), Oncology (253 citations), Dermatology (42 citations) and Molecular Biology (303 citations). Daniela Achkova has collaborated with scholars based in United Kingdom, Italy and Germany. Frequent co-authors include John Maher, Richard Beatson, Joy Burchell, Joyce Taylor‐Papadimitriou, Virginia Tajadura‐Ortega, Paul R. Crocker, Sandra Klausing, Gianfranco Picco, Thomas Noll and James Spicer. Their work appears in journals such as Journal of Allergy and Clinical Immunology, Cancer Research, PLoS Pathogens, Journal of Clinical Oncology and Cells.

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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