Danka Grčević
Impact in
-
- Bone and Joint Diseases
- Genetics top 5%
- Mesenchymal stem cell research
- Connective tissue disorders research
Papers in
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- Bone Metabolism and Diseases 35
- TGF-β signaling in diseases 6
- Oncology 22
- Bone health and treatments 13
- Cytokine Signaling Pathways and Interactions 7
- Co-authors
- Nataša Kovačić (48 shared papers)Ivo Kalajzić (19 shared papers)Ana Marušić (30 shared papers)Vedran Katavić (31 shared papers)Brya G. Matthews (11 shared papers)Ivan Krešimir Lukić (18 shared papers)Joseph Lorenzo (5 shared papers)David W. Rowe (3 shared papers)
- Journals
- Bone (7 papers)Frontiers in Immunology (5 papers)Arthritis Research & Therapy (4 papers)Clinical & Experimental Immunology (3 papers)International Journal of Molecular Sciences (3 papers)
- Partner nations
- CroatiaUnited StatesUnited Kingdom
In The Last Decade
Danka Grčević
81 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 102
- Orthopedics and Sports Medicine 254
- Genetics 288
- Rheumatology 339
- Oncology 423
- Molecular Biology 962
Countries citing papers authored by Danka Grčević
This map shows the geographic impact of Danka Grčević'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 Danka Grčević with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danka Grčević more than expected).
Fields of papers citing papers by Danka Grčević
This network shows the impact of papers produced by Danka Grčević. 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 Danka Grčević. The network helps show where Danka Grčević may publish in the future.
Co-authors
The 25 scholars most cited alongside Danka Grčević, 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 84 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 197 | |
| 2 | 2016 | 131 | |
| 3 | 2013 | 129 | |
| 4 | 2014 | 112 | |
| 5 | 2000 | 79 | |
| 6 | 2021 | 75 | |
| 7 | 2017 | 63 | |
| 8 | 2010 | 52 | |
| 9 | 2007 | 48 | |
| 10 | 2009 | 48 | |
| 11 | 2018 | 45 | |
| 12 | 2014 | 43 | |
| 13 | 2014 | 43 | |
| 14 | 2000 | 41 | |
| 15 | 2018 | 41 | |
| 16 | 1999 | 37 | |
| 17 | 2006 | 36 | |
| 18 | 2003 | 36 | |
| 19 | 2019 | 35 | |
| 20 | 2015 | 35 |
About Danka Grčević
Danka Grčević is a scholar working on Molecular Biology, Oncology, Rheumatology, Immunology and Orthopedics and Sports Medicine, having authored 84 papers that have together received 2.0k indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (35 papers), Bone health and treatments (13 papers), Mesenchymal stem cell research (8 papers), Bone and Joint Diseases (8 papers), Cytokine Signaling Pathways and Interactions (7 papers), Rheumatoid Arthritis Research and Therapies (6 papers), TGF-β signaling in diseases (6 papers) and Immune Response and Inflammation (6 papers). The work is most often cited by research in Orthopedics and Sports Medicine (254 citations), Genetics (288 citations), Rheumatology (339 citations), Oncology (423 citations) and Molecular Biology (962 citations). Danka Grčević has collaborated with scholars based in Croatia, United States and United Kingdom. Frequent co-authors include Nataša Kovačić, Ivo Kalajzić, Ana Marušić, Vedran Katavić, Brya G. Matthews, Ivan Krešimir Lukić, Joseph Lorenzo, David W. Rowe, Sanja Ivčević and Douglas J. Adams. Their work appears in journals such as Bone, Frontiers in Immunology, Arthritis Research & Therapy, Clinical & Experimental Immunology and International Journal of Molecular Sciences.
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.