Julia Kharlip

27 total papers · 1.8k total citations
17 papers, 911 citations indexed

About

Julia Kharlip is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Julia Kharlip has authored 17 papers receiving a total of 911 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Endocrinology, Diabetes and Metabolism, 8 papers in Surgery and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Julia Kharlip's work include Pituitary Gland Disorders and Treatments (8 papers), Adrenal and Paraganglionic Tumors (6 papers) and Hormonal Regulation and Hypertension (3 papers). Julia Kharlip is often cited by papers focused on Pituitary Gland Disorders and Treatments (8 papers), Adrenal and Paraganglionic Tumors (6 papers) and Hormonal Regulation and Hypertension (3 papers). Julia Kharlip collaborates with scholars based in United States and Germany. Julia Kharlip's co-authors include Amir H. Hamrahian, Geoffrey B. Thompson, Martha A. Zeiger, Peter Angelos, Dina M. Elaraj, Quan‐Yang Duh, Jeffrey R. Garber, Jeffrey I. Mechanick, William B. Inabnet and Michael J. Demeure and has published in prestigious journals such as The Lancet, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.

In The Last Decade

Julia Kharlip

17 papers receiving 897 citations

Author Peers

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

Author Last Decade Papers Cites
Julia Kharlip 682 652 176 75 67 17 911
Amir H. Hamrahian 710 1.0× 614 0.9× 283 1.6× 27 0.4× 43 0.6× 29 899
Nicole M. Iñiguez‐Ariza 782 1.1× 566 0.9× 225 1.3× 128 1.7× 73 1.1× 33 1.0k
A. Pia 813 1.2× 744 1.1× 261 1.5× 89 1.2× 99 1.5× 26 1.1k
Victoria Martucci 614 0.9× 736 1.1× 467 2.7× 27 0.4× 64 1.0× 25 905
Maria Adelaide Albergaria Pereira 691 1.0× 454 0.7× 87 0.5× 71 0.9× 183 2.7× 23 859
Emily Reiff 493 0.7× 494 0.8× 302 1.7× 134 1.8× 104 1.6× 29 992
Luigi Marzano 503 0.7× 510 0.8× 134 0.8× 32 0.4× 36 0.5× 36 851
G Finkenstedt 524 0.8× 454 0.7× 126 0.7× 111 1.5× 89 1.3× 29 958
Cathérine De Micco 772 1.1× 440 0.7× 129 0.7× 199 2.7× 224 3.3× 24 1.1k
Lucinda Gruber 514 0.8× 563 0.9× 342 1.9× 91 1.2× 75 1.1× 33 816

Countries citing papers authored by Julia Kharlip

Since Specialization
Citations

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

Fields of papers citing papers by Julia Kharlip

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Kharlip

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