Branka Dabovic

2.7k citations
32 papers · 2.0k · h-index 23

Impact in

Papers in

    • TGF-β signaling in diseases 19
    • Cancer-related gene regulation 5
    • Ubiquitin and proteasome pathways 3
    • Connective tissue disorders research 8

Branka Dabovic

32 papers receiving 2.0k citations

Peers

Branka Dabovic
Comparison fields: 5 of 95
  • Immunology and Allergy 271
  • Genetics 669
  • Cancer Research 287
  • Molecular Biology 1.0k
  • Pulmonary and Respiratory Medicine 343
Replace Lior Zilberberg with:
Lior Zilberberg United States
Brenda Lilly United States
Dirk Hubmacher United States
Gerald Horan United States
Anita Morén Sweden
Corey H. Mjaatvedt United States
Emmanuelle Tillet France
Noé L. Charbonneau United States
Kyungmin Hahm United States
Sarah M. Knox United States
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Citations per field
00.5×1.5×
Lior Zilberberg · 1×
Citations per year

Countries citing papers authored by Branka Dabovic

Since Specialization
Citations

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

Fields of papers citing papers by Branka Dabovic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015356
2 2007254
3 2012150
4 2004130
5 2002119
6 2013110
7 2009109
8 200896
9 200259
10 200855
11 200555
12 201754
13 199552
14 199448
15 200246
16 201545
17 201442
18 200538
19 201529
20 201025

About Branka Dabovic

Branka Dabovic is a scholar working on Molecular Biology, Genetics, Pulmonary and Respiratory Medicine, Cancer Research and Surgery, having authored 32 papers that have together received 2.0k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (19 papers), Connective tissue disorders research (8 papers), Neonatal Respiratory Health Research (6 papers), Cancer-related gene regulation (5 papers), Protease and Inhibitor Mechanisms (4 papers), Congenital Diaphragmatic Hernia Studies (4 papers), Ubiquitin and proteasome pathways (3 papers) and Bone and Dental Protein Studies (3 papers). The work is most often cited by research in Immunology and Allergy (271 citations), Genetics (669 citations), Cancer Research (287 citations), Molecular Biology (1.0k citations) and Pulmonary and Respiratory Medicine (343 citations). Branka Dabovic has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Daniel B. Rifkin, Lior Zilberberg, Masahito Horiguchi, Vladimir Jurukovski, Ian B. Robertson, Vesna Todorović, Krassimira Hadjiolova, Yan Chen, Cristina Colarossi and Lynn Y. Sakai. Their work appears in journals such as Journal of Cellular Physiology, Proceedings of the National Academy of Sciences, Matrix Biology, Human Molecular Genetics and The Journal of Cell Biology.

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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