Paško Konjevoda

1.4k citations
82 papers · 710 indexed · h-index 16
Topics
Machine Learning in Bioinformatics (12 papers)RNA and protein synthesis mechanisms (11 papers)Biochemical Analysis and Sensing Techniques (9 papers)
Journals
SHILAP Revista de lepidopterologíaGastroenterologyBiological Psychiatry

In The Last Decade

Paško Konjevoda

79 papers receiving 691 citations

Peers

Paško Konjevoda
Comparison fields: 5 of 114
  • Molecular Biology 232
  • Surgery 119
  • Pediatrics, Perinatology and Child Health 90
  • Pulmonary and Respiratory Medicine 90
  • Cellular and Molecular Neuroscience 88
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Citations per year

Countries citing papers authored by Paško Konjevoda

Since Specialization
Citations

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

Fields of papers citing papers by Paško Konjevoda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paško Konjevoda

This figure shows the co-authorship network connecting the top 25 collaborators of Paško Konjevoda. A scholar is included among the top collaborators of Paško Konjevoda 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 Paško Konjevoda. Paško Konjevoda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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8 17
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11 18
12
Concentrations of GH, IGF-1 and insulin in CSF of healthy people
2
13
Alpha-melanotropin Peptide: Structure and Ligand–Receptor Recognition
2
14
Synthesis, Spectroscopic Characterization and Biological Activity of N-1-Sulfonylcytosine Derivatives
9
15
Effectiveness of Latanoprost (Xalatan™) Monotherapy in Newly Discovered and Previously Medicamentously Treated Primary Open Angle Glaucoma Patients
1
16
Effects of alpha-MSH on experimentally induced mucosal injury of rat gastrointestinal system
1
17
Resonant Recognition Model Defines the Secondary Structure of Bioactive Proteins
1
18
Machine learning based analysis of biochemical and morphologic parameters in patients with dialysis related amyloidosis
3
19
Protective Effects of Met-enkephalin on Alcohol Induced Gastric Lesions
3
20 35

About Paško Konjevoda

Paško Konjevoda is a scholar working on Endocrine and Autonomic Systems, Nutrition and Dietetics and Clinical Biochemistry, having authored 82 papers that have together received 710 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (12 papers), RNA and protein synthesis mechanisms (11 papers) and Biochemical Analysis and Sensing Techniques (9 papers). The work is most often cited by research in Gastroenterology (35 citations), Cellular and Molecular Neuroscience (88 citations) and Pediatrics, Perinatology and Child Health (90 citations). Paško Konjevoda has collaborated with scholars based in Croatia, Serbia and United States. Frequent co-authors include Nikola Štambuk, Sven Seiwerth, Predrag Sikirić, Gorana Aralica, Rudolf Ručman, Marijan Petek, Željko Grabarević, Karolina Vrandečić, Petra Turčić and Darko Perović. Their work appears in journals such as SHILAP Revista de lepidopterología, Gastroenterology and Biological Psychiatry.

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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