Tatjana Stanković
- Genetics top 0.5%
- Chronic Lymphocytic Leukemia Research 47
- Oncology top 1%
- Cancer-related Molecular Pathways 26
- Cancer Research top 2%
- Carcinogens and Genotoxicity Assessment 8
- Molecular Biology top 1%
- DNA Repair Mechanisms 31
- Ubiquitin and proteasome pathways 7
-
- Lymphoma Diagnosis and Treatment 21
-
- Acute Lymphoblastic Leukemia research 13
-
- Acute Myeloid Leukemia Research 7
- Co-authors
- A. Malcolm R. TaylorGrant S. StewartPaul MossPhilip J. ByrdP.J. ByrdCeri OldreiveDebra A. BressanRichard S. Maser
- Cited by
- GeneticsOncologyCancer Research
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Tatjana Stanković
91 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Genetics 1.4k
- Oncology 2.3k
- Cancer Research 1.0k
- Molecular Biology 4.3k
- Pathology and Forensic Medicine 1.1k
Countries citing papers authored by Tatjana Stanković
This map shows the geographic impact of Tatjana Stanković'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 Tatjana Stanković with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tatjana Stanković more than expected).
Fields of papers citing papers by Tatjana Stanković
This network shows the impact of papers produced by Tatjana Stanković. 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 Tatjana Stanković. The network helps show where Tatjana Stanković may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tatjana Stanković, 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 | 2024 | 7 | |
| 2 | 2019 | 1 | |
| 3 | 2016 | 15 | |
| 4 | 2014 | 46 | |
| 5 | 2014 | 61 | |
| 6 | 2014 | 6 | |
| 7 | 2013 | 53 | |
| 8 | 2011 | 9 | |
| 9 | 2011 | 26 | |
| 10 | The RIDDLE Syndrome Protein Mediates a Ubiquitin-Dependent Signaling Cascade at Sites of DNA Damagebreakdown → | 2009 | 599 |
| 11 | 2008 | 20 | |
| 12 | 2008 | 19 | |
| 13 | 2008 | 81 | |
| 14 | 2001 | 78 | |
| 15 | 2000 | 17 | |
| 16 | 1998 | 281 | |
| 17 | Mutations associated with variant phenotypes in ataxia-telangiectasia. | 1996 | 151 |
| 18 | 1996 | 85 | |
| 19 | 1995 | 5 | |
| 20 | 1993 | 26 |
About Tatjana Stanković
Tatjana Stanković is a scholar working on Genetics, Oncology and Pathology and Forensic Medicine, having authored 91 papers that have together received 6.1k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (47 papers), DNA Repair Mechanisms (31 papers), Cancer-related Molecular Pathways (26 papers), Lymphoma Diagnosis and Treatment (21 papers), Acute Lymphoblastic Leukemia research (13 papers), Carcinogens and Genotoxicity Assessment (8 papers), Ubiquitin and proteasome pathways (7 papers) and Acute Myeloid Leukemia Research (7 papers). The work is most often cited by research in Genetics (1.4k citations), Oncology (2.3k citations) and Cancer Research (1.0k citations). Tatjana Stanković has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include A. Malcolm R. Taylor, Grant S. Stewart, Paul Moss, Philip J. Byrd, P.J. Byrd, Ceri Oldreive, Debra A. Bressan, Richard S. Maser, Anja Raams and Mark I. Kaplan. Their work appears in journals such as Blood, Genomics, Human Molecular Genetics, Leukemia Research and Leukemia.
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.