Hagit Peleg

48 total papers · 1.6k total citations
25 papers, 520 citations indexed

About

Hagit Peleg is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Rheumatology. According to data from OpenAlex, Hagit Peleg has authored 25 papers receiving a total of 520 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pulmonary and Respiratory Medicine, 6 papers in Surgery and 6 papers in Rheumatology. Recurrent topics in Hagit Peleg's work include Inflammasome and immune disorders (5 papers), Vasculitis and related conditions (5 papers) and Systemic Lupus Erythematosus Research (3 papers). Hagit Peleg is often cited by papers focused on Inflammasome and immune disorders (5 papers), Vasculitis and related conditions (5 papers) and Systemic Lupus Erythematosus Research (3 papers). Hagit Peleg collaborates with scholars based in Israel, United States and Italy. Hagit Peleg's co-authors include Yoram Agmon, Seymour Rosen, Mayer Brezis, Ziv Greenfeld, Suhail Aamar, Eldad Ben‐Chetrit, Samuel N. Heyman, Chamutal Gur, Orit Berhani and Natan Stein and has published in prestigious journals such as Journal of Clinical Investigation, Scientific Reports and Annals of the Rheumatic Diseases.

In The Last Decade

Hagit Peleg

22 papers receiving 499 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Hagit Peleg	230	118	91	89	81	25	520
P Aukrust	125 0.5×	111 0.9×	67 0.7×	120 1.3×	42 0.5×	16	504
Vincent Pernin	211 0.9×	120 1.0×	104 1.1×	115 1.3×	26 0.3×	29	614
Anna Caldini	69 0.3×	138 1.2×	62 0.7×	37 0.4×	23 0.3×	32	563
M Brezis	270 1.2×	125 1.1×	142 1.6×	11 0.1×	65 0.8×	31	596
Joaquín Manrique	111 0.5×	100 0.8×	50 0.5×	68 0.8×	11 0.1×	29	484
Gregory J. Beirne	217 0.9×	112 0.9×	242 2.7×	57 0.6×	11 0.1×	22	606
Estêvão Bassi	66 0.3×	157 1.3×	104 1.1×	43 0.5×	90 1.1×	18	521
Atsunori Kuwabara	148 0.6×	77 0.7×	58 0.6×	72 0.8×	8 0.1×	19	505
Amber P. Sanchez	106 0.5×	106 0.9×	55 0.6×	119 1.3×	46 0.6×	20	556
V. S. Subramanian	215 0.9×	105 0.9×	241 2.6×	69 0.8×	21 0.3×	21	609

Countries citing papers authored by Hagit Peleg

Since Specialization

Citations

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

Fields of papers citing papers by Hagit Peleg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hagit Peleg

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

All Works

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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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