Daniela Jukic

412 citations
8 papers · 345 · h-index 8

Impact in

  • Genetics top 5%
    • Coagulation, Bradykinin, Polyphosphates, and Angioedema
  • Hematology top 10%
    • Blood Coagulation and Thrombosis Mechanisms

Papers in

    • Coagulation, Bradykinin, Polyphosphates, and Angioedema 6
    • Chemical Synthesis and Analysis 5
    • Receptor Mechanisms and Signaling 1

Daniela Jukic

8 papers receiving 325 citations

Peers

Daniela Jukic
Comparison fields: 5 of 49
  • Genetics 261
  • Hematology 72
  • Cellular and Molecular Neuroscience 106
  • Physiology 18
  • Immunology 64
Replace Junshi Fujisaki with:
Junshi Fujisaki Japan
Céléna Dubuc Canada
Zhishuo Ou United States
Allan Joaquim Lamontanara Switzerland
Anamika Pradeep United States
Torsten Exner Germany
Eszter Varga Hungary
An Rykx Belgium
Juanita M. Phang Australia
Sreesha P. Srinivasa United States
Daniela Jukic relative to Junshi Fujisaki Japan Junshi Fujisaki's profile →
Citations per field
00.5×
Junshi Fujisaki · 1×
Citations per year

Countries citing papers authored by Daniela Jukic

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Jukic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Daniela Jukic, 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 Daniela Jukic Line = papers co-authored together Daniela Jukic links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 1992107
2 199652
3 198950
4 199049
5 198837
6 199027
7 199112
8 199111

About Daniela Jukic

Daniela Jukic is a scholar working on Genetics, Molecular Biology, Cellular and Molecular Neuroscience, Organic Chemistry and Oncology, having authored 8 papers that have together received 345 indexed citations. Recurring topics across this work include Coagulation, Bradykinin, Polyphosphates, and Angioedema (6 papers), Chemical Synthesis and Analysis (5 papers), Neuropeptides and Animal Physiology (4 papers), Peptidase Inhibition and Analysis (2 papers), Synthetic Organic Chemistry Methods (1 paper), Neurobiology and Insect Physiology Research (1 paper), Molecular Junctions and Nanostructures (1 paper) and Receptor Mechanisms and Signaling (1 paper). The work is most often cited by research in Genetics (261 citations), Hematology (72 citations), Cellular and Molecular Neuroscience (106 citations), Physiology (18 citations) and Immunology (64 citations). Daniela Jukic has collaborated with scholars based in Canada. Frequent co-authors include N. Rouissi, D. Regoli, Nour‐Eddine Rhaleb, Guy Drapeau, Stéphane Dion, Jochen Knolle, Stefan Henke, Gerhard Breipohl, Nour-Eddine Rhaleb and J. Barabé. Their work appears in journals such as European Journal of Pharmacology, Pharmacological Research, Hypertension, British Journal of Pharmacology and Journal of Cardiovascular Pharmacology.

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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