Ivana Bjelobaba

2.1k citations
72 papers · 1.4k indexed · h-index 23

Ivana Bjelobaba

70 papers receiving 1.4k citations

Peers

Ivana Bjelobaba
Comparison fields: 5 of 96
  • Physiology 416
  • Biological Psychiatry 100
  • Neurology 290
  • Behavioral Neuroscience 79
  • Endocrine and Autonomic Systems 132
Replace Akiko Satoh with:
Akiko Satoh United States
Silvia Belcredito Italy
Gyun Jee Song South Korea
Ana F. Nunes Portugal
Sonja Johann Germany
Dafne M. Silberman Argentina
Zhiying Hu China
Nadežda Nedeljković Serbia
Françoise Homo‐Delarche France
Cherie A. Singer United States
Ivana Bjelobaba relative to Akiko Satoh United States Akiko Satoh's profile →
Citations per field
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Akiko Satoh · 1×
Citations per year

Countries citing papers authored by Ivana Bjelobaba

Since Specialization
Citations

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

Fields of papers citing papers by Ivana Bjelobaba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20240
3 20232
4 20234
5 201922
6 201720
7
Characterization of GPR101 transcripts structure, expression and signaling
20160
8 201629
9 20159
10 201316
11 20136
12 201310
13 201312
14 201237
15 201221
16 201011
17 201013
18 200724
19 200651
20 200613

About Ivana Bjelobaba

Ivana Bjelobaba is a scholar working on Physiology, Biological Psychiatry and Endocrine and Autonomic Systems, having authored 72 papers that have together received 1.4k indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (24 papers), Neuroinflammation and Neurodegeneration Mechanisms (12 papers), Hypothalamic control of reproductive hormones (11 papers), Genetics and Neurodevelopmental Disorders (10 papers), Neuroscience of respiration and sleep (9 papers), Multiple Sclerosis Research Studies (7 papers), Growth Hormone and Insulin-like Growth Factors (6 papers) and Immune Cell Function and Interaction (6 papers). The work is most often cited by research in Physiology (416 citations), Biological Psychiatry (100 citations) and Neurology (290 citations). Ivana Bjelobaba has collaborated with scholars based in Serbia, United States and Germany. Frequent co-authors include Irena Lavrnja, Sanja Peković, Stanko S. Stojilković, Nadežda Nedeljković, Danijela Savić, Mirjana Stojiljković, Marija M. Janjic, Danijela Laketa, Iva Božić and Marek Kučka. Their work appears in journals such as Scientific Reports, Journal of Molecular Neuroscience, Frontiers in Endocrinology, Neurochemical Research and Endocrinology.

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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