Iva Kezic

18 papers receiving 318 citations

Peers

Iva Kezic
Comparison fields: 5 of 66
  • Cognitive Neuroscience 118
  • Experimental and Cognitive Psychology 101
  • Cellular and Molecular Neuroscience 90
  • Endocrine and Autonomic Systems 87
  • Molecular Biology 78
Replace Vincenzo Teneggi with:
Vincenzo Teneggi Italy
Dorit Ravid Israel
Gábor Hullám Hungary
Jean-Louis Golmard France
Chung‐Feng Kao Taiwan
Love Linnér Sweden
Ken S. Koblan United States
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Iva Kezic relative to Vincenzo Teneggi Italy Vincenzo Teneggi's profile →
Citations per field
00.5×7.3×
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Citations per year

Countries citing papers authored by Iva Kezic

Since Specialization
Citations

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

Fields of papers citing papers by Iva Kezic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iva Kezic

This figure shows the co-authorship network connecting the top 25 collaborators of Iva Kezic. A scholar is included among the top collaborators of Iva Kezic based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Iva Kezic. Iva Kezic is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 1
2 21
3 6
4 1
5 55
6 45
7 46
8 1
9 42
10 1
11 23
12 3
13
Platinum - sensitive relapsed epithelial ovarian cancer: not all the patients benefit from reinduction with carboplatin and paclitaxel.
3
14
Biweekly oxaliplatin, fluorouracil and leucovorin versus cisplatin, fluorouracil and leucovorin in patients with advanced gastric cancer.
12
15
Do the time to chemotherapy response and the dose intensity have an impact on patient outcome in advanced non-small cell lung cancer?
9
16
Incomplete operative removal of colorectal liver metastases followed by chemotherapy decreases survival in comparison to chemotherapy alone.
2
17 2
18 55

About Iva Kezic

Iva Kezic is a scholar working on Biological Psychiatry, Endocrine and Autonomic Systems and Experimental and Cognitive Psychology, having authored 18 papers that have together received 328 indexed citations. Recurring topics across this work include Sleep and related disorders (4 papers), Tryptophan and brain disorders (4 papers) and Sleep and Wakefulness Research (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (87 citations), Biological Psychiatry (28 citations) and Experimental and Cognitive Psychology (101 citations). Iva Kezic has collaborated with scholars based in Belgium, United States and Serbia. Frequent co-authors include Peter de Boer, Wayne C. Drevets, Luc Van Nueten, Catherine Fortpied, Luc Duchateau, Paul Janssen, Justine Kent, Peter van der Ark, Heidi De Smedt and R. Luthringer. Their work appears in journals such as Neuropsychopharmacology, Molecular Psychiatry and SLEEP.

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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