Maja Mandić

625 citations
20 papers · 504 · h-index 13

Impact in

  • Physiology top 5%
    • Adenosine and Purinergic Signaling
  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

    • Immunotherapy and Immune Responses 7
    • T-cell and B-cell Immunology 5
    • Immune Cell Function and Interaction 3
    • vaccines and immunoinformatics approaches 4

Maja Mandić

19 papers receiving 498 citations

Peers

Maja Mandić
Comparison fields: 5 of 76
  • Physiology 69
  • Immunology 234
  • Oncology 181
  • Molecular Biology 240
  • Immunology and Allergy 14
Replace Vibeke Sundvold with:
Vibeke Sundvold Norway
Ellen Langemeijer Netherlands
Shigemi Sasawatari Japan
M V Sitkovsky United States
Mark Biffen United Kingdom
Timo Lischke Germany
Saša Radoja United States
Akie Maehara Japan
Christiane Mohr Germany
Alex Ray United States
Maja Mandić relative to Vibeke Sundvold Norway Vibeke Sundvold's profile →
Citations per field
00.5×2.6×
Vibeke Sundvold · 1×
Citations per year

Countries citing papers authored by Maja Mandić

Since Specialization
Citations

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

Fields of papers citing papers by Maja Mandić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2007106
2 200772
3 200559
4 200842
5
The alternative open reading frame of LAGE-1 gives rise to multiple promiscuous HLA-DR-restricted epitopes recognized by T-helper 1-type tumor-reactive CD4+ T cells.
200335
6 200733
7 200930
8 200824
9 201021
10 201420
11 201418
12 200813
13 201612
14 20156
15 20176
16 20173
17 20192
18 20191
19 20051
20 20240

About Maja Mandić

Maja Mandić is a scholar working on Immunology, Molecular Biology, Oncology, Pediatrics, Perinatology and Child Health and Small Animals, having authored 20 papers that have together received 504 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (7 papers), T-cell and B-cell Immunology (5 papers), vaccines and immunoinformatics approaches (4 papers), Immune Cell Function and Interaction (3 papers), Axon Guidance and Neuronal Signaling (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Physiology (69 citations), Immunology (234 citations), Oncology (181 citations), Molecular Biology (240 citations) and Immunology and Allergy (14 citations). Maja Mandić has collaborated with scholars based in United States, Serbia and Slovakia. Frequent co-authors include John M. Kirkwood, Hassane M. Zarour, Walter J. Storkus, Anna Lokshin, Xiao‐Jun Huang, Edwin K. Jackson, Stergios Moschos, Elieser Gorelik, Yunyun Su and Amy Wesa. Their work appears in journals such as Journal of Immunotherapy, The Journal of Clinical Pharmacology, The Journal of Immunology, Cancer Research and PLoS ONE.

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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