Tatjana Stanković

9.6k citations
91 papers · 6.1k indexed · 2 hit papers · h-index 37

Tatjana Stanković

91 papers receiving 6.0k citations

Hit Papers

The RIDDLE Syndrome Protein Mediates a Ubiquitin-Depen...5991999202620082017250500750

Peers

Tatjana Stanković
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
Replace Steven I. Wang with:
Steven I. Wang United States
Daniel Mertens Germany
Janusz Puc United States
Sauveur-Michel Maira Switzerland
Marta Chesi United States
Danny Liaw United States
Max Chaffanet France
Teresa Palomero United States
Sami N. Malek United States
Craig H. Bassing United States
Tatjana Stanković relative to Steven I. Wang United States Steven I. Wang's profile →
Citations per field
00.5×1.5×2.1×
Steven I. Wang · 1×
Citations per year

Countries citing papers authored by Tatjana Stanković

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Tatjana Stanković Line = papers co-authored together Tatjana Stanković links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20247
2 20191
3 201615
4 201446
5 201461
6 20146
7 201353
8 20119
9 201126
10
The RIDDLE Syndrome Protein Mediates a Ubiquitin-Dependent Signaling Cascade at Sites of DNA Damagebreakdown →
2009599
11 200820
12 200819
13 200881
14 200178
15 200017
16 1998281
17
Mutations associated with variant phenotypes in ataxia-telangiectasia.
1996151
18 199685
19 19955
20 199326

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.

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