Damir Vidović

992 citations
24 papers · 764 · h-index 13

Impact in

  • Immunology top 5%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
    • Monoclonal and Polyclonal Antibodies Research

Papers in

Damir Vidović

23 papers receiving 722 citations

Peers

Damir Vidović
Comparison fields: 5 of 62
  • Immunology 612
  • Radiology, Nuclear Medicine and Imaging 162
  • Immunology and Allergy 39
  • Oncology 86
  • Parasitology 17
Replace Mark T. Scherer with:
Mark T. Scherer United States
Z A Nagy Germany
Carole Kurahara United States
Jean-Claude Weill France
Michelle Attaya United States
Sylvie Degermann Switzerland
Laurent Vidard France
S Gamble United States
Brigid M. Balfour United Kingdom
Ken Snoke United States
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Citations per field
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Citations per year

Countries citing papers authored by Damir Vidović

Since Specialization
Citations

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

Fields of papers citing papers by Damir Vidović

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989207
2 1996163
3 1988104
4 199949
5 198141
6 200031
7 199818
8 200216
9 199615
10 198515
11 198414
12 199712
13 198212
14 199510
15 199510
16 199510
17
Qa-1 restricted gamma delta T cells can help B cells.
199110
18 20039
19 20047
20 19906

About Damir Vidović

Damir Vidović is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Oncology and Genetics, having authored 24 papers that have together received 764 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (17 papers), Immunotherapy and Immune Responses (13 papers), Immune Cell Function and Interaction (11 papers), Monoclonal and Polyclonal Antibodies Research (10 papers), vaccines and immunoinformatics approaches (4 papers), RNA Interference and Gene Delivery (2 papers), CAR-T cell therapy research (2 papers) and Diabetes and associated disorders (2 papers). The work is most often cited by research in Immunology (612 citations), Radiology, Nuclear Medicine and Imaging (162 citations), Immunology and Allergy (39 citations), Oncology (86 citations) and Parasitology (17 citations). Damir Vidović has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Polly Matzinger, Zlatko Dembić, M Roglić, Sylvie Guerder, Keith McKune, Charles R. Mackay, Zoltan A. Nagy, David Bolin, Fiorenza Falcioni and Charles Belunis. Their work appears in journals such as The Journal of Immunology, European Journal of Immunology, The Journal of Experimental Medicine, Nature and Immunogenetics.

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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