Tajana Štoos‐Veić
- Genetics top 10%
- Myeloproliferative Neoplasms: Diagnosis and Treatment 12
- Hemoglobinopathies and Related Disorders 4
- Chronic Lymphocytic Leukemia Research 2
- Hematology top 10%
- Acute Myeloid Leukemia Research 6
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- Pancreatic and Hepatic Oncology Research 4
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- Kruppel-like factors research 9
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- Lymphoma Diagnosis and Treatment 4
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- Neuroendocrine Tumor Research Advances 2
- Co-authors
- Marko LucijanićRajko KušecVlatko PejšaOzren JakšićGorana AralicaMarko SkelinIvica GrgurevićMilan Kujundžić
- Cited by
- GeneticsHematologyRheumatology
In The Last Decade
Tajana Štoos‐Veić
28 papers receiving 251 citations
Peers
Comparison fields: 5 of 46
- Genetics 112
- Hematology 78
- Rheumatology 39
- Oncology 63
- Hepatology 18
Countries citing papers authored by Tajana Štoos‐Veić
This map shows the geographic impact of Tajana Štoos‐Veić'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 Tajana Štoos‐Veić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tajana Štoos‐Veić more than expected).
Fields of papers citing papers by Tajana Štoos‐Veić
This network shows the impact of papers produced by Tajana Štoos‐Veić. 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 Tajana Štoos‐Veić. The network helps show where Tajana Štoos‐Veić may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tajana Štoos‐Veić, 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 | 2021 | 10 | |
| 2 | 2020 | 6 | |
| 3 | 2020 | 16 | |
| 4 | 2019 | 4 | |
| 5 | 2019 | 3 | |
| 6 | 2018 | 30 | |
| 7 | 2018 | 28 | |
| 8 | 2018 | 6 | |
| 9 | 2017 | 9 | |
| 10 | 2017 | 8 | |
| 11 | 2016 | 17 | |
| 12 | 2016 | 9 | |
| 13 | 2015 | 1 | |
| 14 | 2014 | 1 | |
| 15 | 2014 | 0 | |
| 16 | Biliary brush cytology for the diagnosis of malignancy: a single center experience. | 2010 | 13 |
| 17 | Detection of t(14;18) by PCR of IgH/BCL2 fusion gene in follicular lymphoma from archived cytological smears. | 2010 | 4 |
| 18 | Flow cytometric analysis of deep-seated lymph nodes. | 2010 | 5 |
| 19 | Misleading presentations of malignant breast diseases--role of clinical cytology. | 2010 | 2 |
| 20 | 2004 | 10 |
About Tajana Štoos‐Veić
Tajana Štoos‐Veić is a scholar working on Genetics, Hematology, Pathology and Forensic Medicine, Dermatology and Oncology, having authored 29 papers that have together received 259 indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (12 papers), Kruppel-like factors research (9 papers), Acute Myeloid Leukemia Research (6 papers), Pancreatic and Hepatic Oncology Research (4 papers), Hemoglobinopathies and Related Disorders (4 papers), Lymphoma Diagnosis and Treatment (4 papers), Neuroendocrine Tumor Research Advances (2 papers) and Chronic Lymphocytic Leukemia Research (2 papers). The work is most often cited by research in Genetics (112 citations), Hematology (78 citations), Rheumatology (39 citations), Oncology (63 citations) and Hepatology (18 citations). Tajana Štoos‐Veić has collaborated with scholars based in Croatia, Italy and Belgium. Frequent co-authors include Marko Lucijanić, Rajko Kušec, Vlatko Pejša, Ozren Jakšić, Gorana Aralica, Marko Skelin, Ivica Grgurević, Milan Kujundžić, Nermin N. Salkić and Mislav Rakić. Their work appears in journals such as Endoscopy, Liver International, Leukemia Research, Anticancer Research and European Journal of Gastroenterology & Hepatology.
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.