Daniela Jukic

412 total citations
8 papers, 345 citations indexed

About

Daniela Jukic is a scholar working on Genetics, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Daniela Jukic has authored 8 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 5 papers in Molecular Biology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Daniela Jukic's work include Coagulation, Bradykinin, Polyphosphates, and Angioedema (6 papers), Chemical Synthesis and Analysis (5 papers) and Neuropeptides and Animal Physiology (4 papers). Daniela Jukic is often cited by papers focused on Coagulation, Bradykinin, Polyphosphates, and Angioedema (6 papers), Chemical Synthesis and Analysis (5 papers) and Neuropeptides and Animal Physiology (4 papers). Daniela Jukic collaborates with scholars based in Canada. Daniela Jukic's co-authors include N. Rouissi, D. Regoli, Nour‐Eddine Rhaleb, Guy Drapeau, Stéphane Dion, Stefan Henke, Gerhard Breipohl, Nour-Eddine Rhaleb, Jochen Knolle and J. Barabé and has published in prestigious journals such as Hypertension, British Journal of Pharmacology and European Journal of Pharmacology.

In The Last Decade

Daniela Jukic

8 papers receiving 325 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Daniela Jukic Canada	8	261	144	106	72	64	8	345
Junshi Fujisaki Japan	4	273 1.0×	158 1.1×	79 0.7×	103 1.4×	85 1.3×	5	435
Céléna Dubuc Canada	12	94 0.4×	151 1.0×	57 0.5×	14 0.2×	35 0.5×	13	329
Anamika Pradeep United States	10	54 0.2×	333 2.3×	38 0.4×	75 1.0×	56 0.9×	11	514
Allan Joaquim Lamontanara Switzerland	7	74 0.3×	156 1.1×	80 0.8×	102 1.4×	17 0.3×	7	368
Zhishuo Ou United States	9	107 0.4×	257 1.8×	35 0.3×	63 0.9×	55 0.9×	23	423
Sophie Kusy France	11	86 0.3×	453 3.1×	166 1.6×	45 0.6×	57 0.9×	14	602
Yuji Akechi Japan	8	84 0.3×	275 1.9×	136 1.3×	20 0.3×	13 0.2×	9	424
Gabriele Hübinger Germany	10	55 0.2×	199 1.4×	62 0.6×	19 0.3×	68 1.1×	11	492
Torsten Exner Germany	7	26 0.1×	334 2.3×	76 0.7×	11 0.2×	44 0.7×	8	396
Sreesha P. Srinivasa United States	7	25 0.1×	438 3.0×	64 0.6×	27 0.4×	24 0.4×	16	518

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-authorship network of co-authors of Daniela Jukic

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

All Works

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8 of 8 papers shown

1.

Gobeil, Fernand, Daniela Jukic, L.H. Pheng, et al.. (1996). Structure-Activity Studies of B₁Receptor–Related Peptides. Hypertension. 28(5). 833–839. 52 indexed citations

2.

Rhaleb, Nour-Eddine, N. Rouissi, Daniela Jukic, et al.. (1992). Pharmacological characterization of a new highly potent B2 receptor antagonist (HOE 140: D-Arg-[Hyp3, Thi5, D-Tic7, Oic8]bradykinin). European Journal of Pharmacology. 210(2). 115–120. 107 indexed citations

3.

Rhaleb, Nour‐Eddine, N. Rouissi, Guy Drapeau, Daniela Jukic, & D. Regoli. (1991). Characterization of bradykinin receptors in peripheral organs. Canadian Journal of Physiology and Pharmacology. 69(7). 938–943. 11 indexed citations

4.

Nantel, F., N. Rouissi, Nour‐Eddine Rhaleb, Daniela Jukic, & D. Regoli. (1991). Pharmacological Evaluation of the Angiotensin, Kinin, and Neurokinin Receptors on the Rabbit Vena Cava. Journal of Cardiovascular Pharmacology. 18(3). 398–405. 12 indexed citations

5.

Rhaleb, Nour‐Eddine, Guy Drapeau, Stéphane Dion, et al.. (1990). Structure‐activity studies on bradykinin and related peptides: agonists. British Journal of Pharmacology. 99(3). 445–448. 49 indexed citations

6.

Regoli, D., Nour‐Eddine Rhaleb, Christine Tousignant, et al.. (1990). Neurokinin A. A pharmacological study. Pharmacological Research. 22(1). 1–14. 27 indexed citations

7.

Rhaleb, Nour‐Eddine, Stéphane Dion, J. Barabé, et al.. (1989). Receptors for kinins in isolated arterial vessels of dogs. European Journal of Pharmacology. 162(3). 419–427. 50 indexed citations

8.

Drapeau, Guy, Nour‐Eddine Rhaleb, Stéphane Dion, Daniela Jukic, & D. Regoli. (1988). [Phe8ψ(CH2-NH)Arg9]bradykinin, a B2 receptor selective agonist which is not broken down by either kininase I or kininase II. European Journal of Pharmacology. 155(1-2). 193–195. 37 indexed citations

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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