Tamara Čaćev

30 papers receiving 453 citations

Peers

Tamara Čaćev
Comparison fields: 5 of 74
  • Oncology 191
  • Cancer Research 87
  • Pathology and Forensic Medicine 75
  • Developmental Biology 7
  • Molecular Biology 199
Replace Labile Togba Soumaoro with:
Labile Togba Soumaoro Japan
Cho‐Yun Chung South Korea
Tohru Kobayashi Japan
Kuniharu Yamamoto Japan
Jennifer Mahoney United States
Pilar Martínez-Onsurbe Spain
Rajalakshmi Nair United States
Minshan Chen China
Xiaoqing Jia China
Chad Wiesenauer United States
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Citations per field
00.5×10×16.5×
Labile Togba Soumaoro · 1×
Citations per year

Countries citing papers authored by Tamara Čaćev

Since Specialization
Citations

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

Fields of papers citing papers by Tamara Čaćev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200541
2 201238
3 200436
4 200832
5 200130
6 201426
7 200825
8 200724
9 201620
10 200418
11 201318
12 202018
13 202116
14
Comparison of Three RT-PCR Based Methods for Relative Quantification of mRNA
200514
15 200614
16 201314
17 201012
18
NeuroD1 gene and interleukin-18 gene polymorphisms in type 1 diabetes in Dalmatian population of Southern Croatia.
200611
19 200611
20 200111

About Tamara Čaćev

Tamara Čaćev is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Oncology, Genetics and Cancer Research, having authored 33 papers that have together received 465 indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (11 papers), Colorectal Cancer Treatments and Studies (4 papers), Lung Cancer Research Studies (4 papers), Neuroendocrine Tumor Research Advances (4 papers), Cancer Genomics and Diagnostics (3 papers), Immune Response and Inflammation (3 papers), RNA modifications and cancer (3 papers) and Genetics and Neurodevelopmental Disorders (3 papers). The work is most often cited by research in Oncology (191 citations), Cancer Research (87 citations), Pathology and Forensic Medicine (75 citations), Developmental Biology (7 citations) and Molecular Biology (199 citations). Tamara Čaćev has collaborated with scholars based in Croatia, Serbia and Spain. Frequent co-authors include Sanja Kapitanović, Krešimir Pavelić, Maja Cigrovski Berković, Radan Spaventi, Šimun Križanac, Senka Radošević, Šime Spaventi, Tina Catela Ivković, Sven Seiwerth and Gorana Aralica. Their work appears in journals such as Experimental and Molecular Pathology, Journal of Molecular Medicine, DNA and Cell Biology, Neuroendocrinology and Anticancer Research.

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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