Julia Chini

12 total papers · 492 total citations
8 papers, 363 citations indexed

About

Julia Chini is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Epidemiology. According to data from OpenAlex, Julia Chini has authored 8 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pulmonary and Respiratory Medicine, 3 papers in Molecular Biology and 3 papers in Epidemiology. Recurrent topics in Julia Chini's work include Aortic aneurysm repair treatments (4 papers), Aortic Disease and Treatment Approaches (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). Julia Chini is often cited by papers focused on Aortic aneurysm repair treatments (4 papers), Aortic Disease and Treatment Approaches (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). Julia Chini collaborates with scholars based in United States and Brazil. Julia Chini's co-authors include Maurício Serra Ribeiro, Gustavo S. Oderich, Stephen Cha, Jan Hofer, Thanila A. Macedo, Péter Gloviczki, Jean Wigham, Bernardo C. Mendes, Emanuel R. Tenorio and Giuliano A. Sandri and has published in prestigious journals such as Nature Communications, Journal of Cell Science and Science Translational Medicine.

In The Last Decade

Julia Chini

7 papers receiving 360 citations

Author Peers

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

Author						Papers	Cites
Julia Chini	337	157	121	10	10	8	363
V.J. Gokani	276 0.8×	163 1.0×	105 0.9×	11 1.1×	7 0.7×	10	312
K. Mani	285 0.8×	199 1.3×	94 0.8×	7 0.7×	16 1.6×	7	307
Cary L. Stowe	271 0.8×	101 0.6×	246 2.0×	7 0.7×	8 0.8×	8	358
Gregory C. Lukaszewicz	273 0.8×	82 0.5×	142 1.2×	30 3.0×	22 2.2×	9	349
Pierre Gomez	327 1.0×	105 0.7×	164 1.4×	7 0.7×	12 1.2×	9	340
Da Qiao Guo	301 0.9×	159 1.0×	138 1.1×	6 0.6×	4 0.4×	8	311
Jacopo Biasetti	293 0.9×	170 1.1×	117 1.0×	6 0.6×	6 0.6×	11	375
Amir H. Malkawi	313 0.9×	183 1.2×	76 0.6×	3 0.3×	2 0.2×	12	332
Michael Resnikoff	360 1.1×	165 1.1×	116 1.0×	3 0.3×	2 0.2×	12	375
Jan Hak	320 0.9×	40 0.3×	338 2.8×	6 0.6×	3 0.3×	6	378

Countries citing papers authored by Julia Chini

Since Specialization

Citations

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

Fields of papers citing papers by Julia Chini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Chini

This figure shows the co-authorship network connecting the top 25 collaborators of Julia Chini. A scholar is included among the top collaborators of Julia Chini 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 Julia Chini. Julia Chini 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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