Tamara Čaćev

575 citations
33 papers · 465 indexed · h-index 15

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
Tamara Čaćev relative to Labile Togba Soumaoro Japan Labile Togba Soumaoro's profile →
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-authorship network

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
#Work
1 20240
2 202116
3 202018
4 20191
5 20180
6 20154
7 20147
8 201318
9 201314
10
Protumor effects of proinflammatory mediators in breast cancer
20124
11 201238
12 201012
13 200832
14 200825
15
Tumor necrosis factor alpha and breast cancer
20071
16
NeuroD1 gene and interleukin-18 gene polymorphisms in type 1 diabetes in Dalmatian population of Southern Croatia.
200611
17
Comparison of Three RT-PCR Based Methods for Relative Quantification of mRNA
200514
18 20052
19 200418
20 200436

About Tamara Čaćev

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

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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