Goran Bajic
Impact in
- Immunology top 5%
- Complement system in diseases
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
Papers in
- Immunology 15
- Immune Cell Function and Interaction 5
- Immunotherapy and Immune Responses 5
- T-cell and B-cell Immunology 5
- Complement system in diseases 3
- Co-authors
- G.R. AndersenSøren E. DegnSteffen ThielAaron G. SchmidtThomas Vorup‐JensenStephen C. HarrisonLaure YatimeMasayuki Kuraoka
- Journals
- Cell Reports (3 papers)Science Immunology (3 papers)mBio (3 papers)Proceedings of the National Academy of Sciences (3 papers)Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics (2 papers)
- Partner nations
- United StatesDenmarkFrance
In The Last Decade
Goran Bajic
29 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 98
- Immunology 641
- Infectious Diseases 216
- Epidemiology 377
- Radiology, Nuclear Medicine and Imaging 221
- Immunology and Allergy 50
Countries citing papers authored by Goran Bajic
This map shows the geographic impact of Goran Bajic'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 Goran Bajic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Goran Bajic more than expected).
Fields of papers citing papers by Goran Bajic
This network shows the impact of papers produced by Goran Bajic. 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 Goran Bajic. The network helps show where Goran Bajic may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Goran Bajic, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 11 | |
| 4 | 2023 | 6 | |
| 5 | 2022 | 35 | |
| 6 | 2022 | 13 | |
| 7 | 2021 | 28 | |
| 8 | 2021 | 22 | |
| 9 | 2021 | 9 | |
| 10 | 2019 | 123 | |
| 11 | 2019 | 33 | |
| 12 | 2019 | 108 | |
| 13 | 2017 | 91 | |
| 14 | 2016 | 30 | |
| 15 | 2015 | 271 | |
| 16 | 2013 | 100 | |
| 17 | 2012 | 47 | |
| 18 | 2012 | 37 | |
| 19 | 2011 | 28 | |
| 20 | 2010 | 58 |
About Goran Bajic
Goran Bajic is a scholar working on Immunology, Microbiology, Radiology, Nuclear Medicine and Imaging, Epidemiology and Immunology and Allergy, having authored 30 papers that have together received 1.3k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (13 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Respiratory viral infections research (6 papers), Immune Cell Function and Interaction (5 papers), Immunotherapy and Immune Responses (5 papers), T-cell and B-cell Immunology (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and Complement system in diseases (3 papers). The work is most often cited by research in Immunology (641 citations), Infectious Diseases (216 citations), Epidemiology (377 citations), Radiology, Nuclear Medicine and Imaging (221 citations) and Immunology and Allergy (50 citations). Goran Bajic has collaborated with scholars based in United States, Denmark and France. Frequent co-authors include G.R. Andersen, Søren E. Degn, Steffen Thiel, Aaron G. Schmidt, Thomas Vorup‐Jensen, Stephen C. Harrison, Laure Yatime, Masayuki Kuraoka, Garnett Kelsoe and Robert B. Sim. Their work appears in journals such as Cell Reports, Science Immunology, mBio, Proceedings of the National Academy of Sciences and Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics.
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.