Martina Bradić
Impact in
- Paleontology top 5%
- Subterranean biodiversity and taxonomy
- Microbiology top 5%
- Reproductive tract infections research
Papers in
-
- Reproductive tract infections research 5
- Oncology 10
- Cancer Immunotherapy and Biomarkers 6
- CAR-T cell therapy research 2
- Co-authors
- Richard L Borowsky (2 shared papers)Henrique Teotónio (2 shared papers)Ivo M. Chelo (2 shared papers)Jane M. Carlton (6 shared papers)Francisco J. García-Dé León (1 shared paper)Peter Beerli (1 shared paper)Anthony D. Long (1 shared paper)Michael R. Rose (1 shared paper)
- Journals
- Clinical Cancer Research (3 papers)Journal for ImmunoTherapy of Cancer (3 papers)Mobile DNA (2 papers)Cancer Cell (2 papers)npj Precision Oncology (1 paper)
- Partner nations
- United StatesPortugalQatar
In The Last Decade
Martina Bradić
27 papers receiving 825 citations
Peers
Comparison fields: 5 of 98
- Paleontology 176
- Microbiology 133
- Aging 17
- Nature and Landscape Conservation 112
- Genetics 184
Countries citing papers authored by Martina Bradić
This map shows the geographic impact of Martina Bradić'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 Martina Bradić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martina Bradić more than expected).
Fields of papers citing papers by Martina Bradić
This network shows the impact of papers produced by Martina Bradić. 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 Martina Bradić. The network helps show where Martina Bradić may publish in the future.
Co-authors
The 25 scholars most cited alongside Martina Bradić, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 158 | |
| 2 | 2009 | 131 | |
| 3 | 2013 | 70 | |
| 4 | 2018 | 60 | |
| 5 | 2017 | 48 | |
| 6 | 2011 | 44 | |
| 7 | 2022 | 44 | |
| 8 | 2024 | 38 | |
| 9 | 2012 | 34 | |
| 10 | 2024 | 33 | |
| 11 | 2024 | 27 | |
| 12 | 2023 | 22 | |
| 13 | 2014 | 19 | |
| 14 | 2023 | 18 | |
| 15 | 2014 | 17 | |
| 16 | 2022 | 15 | |
| 17 | 2021 | 14 | |
| 18 | 2018 | 12 | |
| 19 | 2018 | 12 | |
| 20 | 2023 | 10 |
About Martina Bradić
Martina Bradić is a scholar working on Microbiology, Oncology, Pulmonary and Respiratory Medicine, Parasitology and Small Animals, having authored 31 papers that have together received 843 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (6 papers), Reproductive tract infections research (5 papers), Advanced Breast Cancer Therapies (4 papers), Sarcoma Diagnosis and Treatment (3 papers), Parasitic Infections and Diagnostics (3 papers), CAR-T cell therapy research (2 papers), Cancer-related cognitive impairment studies (2 papers) and Subterranean biodiversity and taxonomy (2 papers). The work is most often cited by research in Paleontology (176 citations), Microbiology (133 citations), Aging (17 citations), Nature and Landscape Conservation (112 citations) and Genetics (184 citations). Martina Bradić has collaborated with scholars based in United States, Portugal and Qatar. Frequent co-authors include Richard L Borowsky, Henrique Teotónio, Ivo M. Chelo, Jane M. Carlton, Francisco J. García-Dé León, Peter Beerli, Anthony D. Long, Michael R. Rose, João Costa and William Evan Secor. Their work appears in journals such as Clinical Cancer Research, Journal for ImmunoTherapy of Cancer, Mobile DNA, Cancer Cell and npj Precision Oncology.
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.