Shifa Jebari

3.4k total citations · 1 hit paper
9 papers, 2.2k citations indexed

About

Shifa Jebari is a scholar working on Surgery, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Shifa Jebari has authored 9 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Surgery, 5 papers in Molecular Biology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Shifa Jebari's work include Lipoproteins and Cardiovascular Health (7 papers), Glycosylation and Glycoproteins Research (1 paper) and Protein Kinase Regulation and GTPase Signaling (1 paper). Shifa Jebari is often cited by papers focused on Lipoproteins and Cardiovascular Health (7 papers), Glycosylation and Glycoproteins Research (1 paper) and Protein Kinase Regulation and GTPase Signaling (1 paper). Shifa Jebari collaborates with scholars based in Spain, United States and Italy. Shifa Jebari's co-authors include César Martı́n, Kepa B. Uribe, Asier Benito‐Vicente, Unai Galicia-García, Helena Ostolaza, Asier Larrea‐Sebal, Lourdes Palacios, Christoffer K. Goth, Mette M. Rosenkilde and Jens J. Holst and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

Shifa Jebari

9 papers receiving 2.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Pathophysiology of Type 2 Diabetes Mellitus

2020 1.9k citations Unai Galicia-García, Asier Benito‐Vicente et al. International Journal of Molecular Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shifa Jebari Spain	7	801	662	469	425	297	9	2.2k
Kepa B. Uribe Spain	17	869 1.1×	793 1.2×	655 1.4×	451 1.1×	335 1.1×	42	2.6k
Asier Larrea‐Sebal Spain	11	854 1.1×	792 1.2×	574 1.2×	488 1.1×	387 1.3×	22	2.7k
Sudesna Chatterjee United Kingdom	15	1.2k 1.5×	710 1.1×	385 0.8×	444 1.0×	391 1.3×	29	2.6k
Chien‐Ning Huang Taiwan	32	1.0k 1.3×	923 1.4×	394 0.8×	530 1.2×	396 1.3×	152	3.4k
Unai Galicia-García Spain	14	878 1.1×	839 1.3×	665 1.4×	501 1.2×	398 1.3×	21	2.8k
Christo J. F. Muller South Africa	35	550 0.7×	1.0k 1.6×	549 1.2×	557 1.3×	377 1.3×	145	3.5k
Rosaria Vincenza Giglio Italy	30	701 0.9×	582 0.9×	560 1.2×	338 0.8×	544 1.8×	91	2.5k
István Wittmann Hungary	25	716 0.9×	865 1.3×	306 0.7×	584 1.4×	309 1.0×	189	2.7k
Angelo Maria Patti Italy	26	801 1.0×	506 0.8×	459 1.0×	179 0.4×	239 0.8×	58	1.8k
Jun Goo Kang South Korea	23	690 0.9×	514 0.8×	326 0.7×	333 0.8×	284 1.0×	102	2.0k

Countries citing papers authored by Shifa Jebari

Since Specialization

Citations

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

Fields of papers citing papers by Shifa Jebari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shifa Jebari

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

All Works

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9 of 9 papers shown

1.

Galicia-García, Unai, Asier Benito‐Vicente, Kepa B. Uribe, et al.. (2020). Mutation type classification and pathogenicity assignment of sixteen missense variants located in the EGF-precursor homology domain of the LDLR. Scientific Reports. 10(1). 1727–1727. 25 indexed citations

2.

Madsen, Thomas D., John Hintze, Zilu Ye, et al.. (2020). An atlas of O-linked glycosylation on peptide hormones reveals diverse biological roles. Nature Communications. 11(1). 4033–4033. 52 indexed citations

3.

Galicia-García, Unai, Shifa Jebari, Asier Larrea‐Sebal, et al.. (2020). Statin Treatment-Induced Development of Type 2 Diabetes: From Clinical Evidence to Mechanistic Insights. International Journal of Molecular Sciences. 21(13). 4725–4725. 92 indexed citations

4.

Galicia-García, Unai, Asier Benito‐Vicente, Shifa Jebari, et al.. (2020). Pathophysiology of Type 2 Diabetes Mellitus. International Journal of Molecular Sciences. 21(17). 6275–6275. 1854 indexed citations breakdown →

5.

Sánchez-Hernández, Rosa M., Maria Donata Di Taranto, Asier Benito‐Vicente, et al.. (2019). The Arg499His gain-of-function mutation in the C-terminal domain of PCSK9. Atherosclerosis. 289. 162–172. 19 indexed citations

6.

Benito‐Vicente, Asier, Kepa B. Uribe, Shifa Jebari, et al.. (2018). p.(Asp47Asn) and p.(Thr62Met): non deleterious LDL receptor missense variants functionally characterized in vitro. Scientific Reports. 8(1). 16614–16614. 5 indexed citations

7.

Benito‐Vicente, Asier, Kepa B. Uribe, Shifa Jebari, et al.. (2018). Replacement of cysteine at position 46 in the first cysteine-rich repeat of the LDL receptor impairs apolipoprotein recognition. PLoS ONE. 13(10). e0204771–e0204771. 1 indexed citations

8.

Benito‐Vicente, Asier, Kepa B. Uribe, Shifa Jebari, et al.. (2018). Validation of LDLr Activity as a Tool to Improve Genetic Diagnosis of Familial Hypercholesterolemia: A Retrospective on Functional Characterization of LDLr Variants. International Journal of Molecular Sciences. 19(6). 1676–1676. 36 indexed citations

9.

Benito‐Vicente, Asier, Kepa B. Uribe, Shifa Jebari, et al.. (2018). Familial Hypercholesterolemia: The Most Frequent Cholesterol Metabolism Disorder Caused Disease. International Journal of Molecular Sciences. 19(11). 3426–3426. 92 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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