Milka Kostić
Impact in
-
- Ubiquitin and proteasome pathways
- Protein Degradation and Inhibitors
- Protein Structure and Dynamics
- Chemical Synthesis and Analysis
- Oncology top 10%
- Peptidase Inhibition and Analysis
- Cancer-related Molecular Pathways
Papers in
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- Protein Degradation and Inhibitors 4
- Ubiquitin and proteasome pathways 3
- Protein Structure and Dynamics 2
- Co-authors
- Nathanael S. Gray (4 shared papers)H. Jane Dyson (3 shared papers)Lyn H. Jones (3 shared papers)Tinghu Zhang (3 shared papers)Thomas C. Pochapsky (5 shared papers)John M. Hatcher (1 shared paper)Mingxing Teng (1 shared paper)Maria A. Martinez‐Yamout (2 shared papers)
- Journals
- Cell chemical biology (4 papers)Biochemistry (3 papers)Journal of Molecular Biology (2 papers)RSC Chemical Biology (2 papers)Journal of the American Chemical Society (1 paper)
- Partner nations
- United StatesGermanySerbia
In The Last Decade
Milka Kostić
16 papers receiving 780 citations
Peers
Comparison fields: 5 of 72
- Molecular Biology 675
- Oncology 243
- Hematology 62
- Organic Chemistry 154
- Computational Theory and Mathematics 65
Countries citing papers authored by Milka Kostić
This map shows the geographic impact of Milka Kostić'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 Milka Kostić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Milka Kostić more than expected).
Fields of papers citing papers by Milka Kostić
This network shows the impact of papers produced by Milka Kostić. 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 Milka Kostić. The network helps show where Milka Kostić may publish in the future.
Co-authors
The 25 scholars most cited alongside Milka Kostić, 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 | 2019 | 207 | |
| 2 | 2019 | 124 | |
| 3 | 2006 | 103 | |
| 4 | 2021 | 80 | |
| 5 | 2011 | 67 | |
| 6 | 2020 | 61 | |
| 7 | 2002 | 48 | |
| 8 | 2001 | 29 | |
| 9 | 2004 | 27 | |
| 10 | 2002 | 21 | |
| 11 | 2008 | 14 | |
| 12 | 2003 | 8 | |
| 13 | 2021 | 4 | |
| 14 | 2009 | 1 | |
| 15 | 2016 | 1 | |
| 16 | 2016 | 1 | |
| 17 | 2000 | 1 | |
| 18 | 2026 | 0 |
About Milka Kostić
Milka Kostić is a scholar working on Molecular Biology, Spectroscopy, Inorganic Chemistry, Organic Chemistry and Oncology, having authored 18 papers that have together received 797 indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (4 papers), Metal-Catalyzed Oxygenation Mechanisms (4 papers), Click Chemistry and Applications (3 papers), Hemoglobin structure and function (3 papers), Enzyme Structure and Function (3 papers), Ubiquitin and proteasome pathways (3 papers), Computational Drug Discovery Methods (2 papers) and Protein Structure and Dynamics (2 papers). The work is most often cited by research in Molecular Biology (675 citations), Oncology (243 citations), Hematology (62 citations), Organic Chemistry (154 citations) and Computational Theory and Mathematics (65 citations). Milka Kostić has collaborated with scholars based in United States, Germany and Serbia. Frequent co-authors include Nathanael S. Gray, H. Jane Dyson, Lyn H. Jones, Tinghu Zhang, Thomas C. Pochapsky, John M. Hatcher, Mingxing Teng, Maria A. Martinez‐Yamout, Sung Jean Park and Peter E. Wright. Their work appears in journals such as Cell chemical biology, Biochemistry, Journal of Molecular Biology, RSC Chemical Biology and Journal of the American Chemical Society.
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.