Julian Ip

35 total papers · 930 total citations
23 papers, 496 citations indexed

About

Julian Ip is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Cancer Research. According to data from OpenAlex, Julian Ip has authored 23 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Surgery, 9 papers in Endocrinology, Diabetes and Metabolism and 7 papers in Cancer Research. Recurrent topics in Julian Ip's work include Adrenal and Paraganglionic Tumors (7 papers), Pituitary Gland Disorders and Treatments (4 papers) and Cancer, Hypoxia, and Metabolism (4 papers). Julian Ip is often cited by papers focused on Adrenal and Paraganglionic Tumors (7 papers), Pituitary Gland Disorders and Treatments (4 papers) and Cancer, Hypoxia, and Metabolism (4 papers). Julian Ip collaborates with scholars based in Australia, Sweden and United States. Julian Ip's co-authors include Anthony J. Gill, Anthony Glover, Jing Zhao, Bruce G. Robinson, Stan B. Sidhu, James C. Lee, Justin S. Gundara, Roderick Clifton‐Bligh, Mark Sywak and Stanley Sidhu and has published in prestigious journals such as Cancer, Scientific Reports and Annals of Surgical Oncology.

In The Last Decade

Julian Ip

21 papers receiving 487 citations

Author Peers

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

Author Last Decade Papers Cites
Julian Ip 263 240 234 221 27 23 496
Katherine I. Wolf 252 1.0× 320 1.3× 390 1.7× 49 0.2× 25 0.9× 22 524
Fukang Sun 295 1.1× 191 0.8× 267 1.1× 223 1.0× 11 0.4× 48 555
Ludivine Drougat 126 0.5× 197 0.8× 221 0.9× 263 1.2× 103 3.8× 19 501
Elisa Guarino 117 0.4× 276 1.1× 213 0.9× 122 0.6× 67 2.5× 18 616
Christopher P. Bambach 402 1.5× 204 0.8× 409 1.7× 196 0.9× 9 0.3× 12 619
Xianzhao Deng 218 0.8× 164 0.7× 158 0.7× 277 1.3× 37 1.4× 37 581
Saulo J.A. Felizola 78 0.3× 309 1.3× 266 1.1× 143 0.6× 45 1.7× 26 573
Lars H. Jørgensen 162 0.6× 232 1.0× 174 0.7× 177 0.8× 17 0.6× 30 563
Guoyang Wu 100 0.4× 80 0.3× 143 0.6× 159 0.7× 27 1.0× 32 448
Cornelia Jaursch-Hancke 93 0.4× 348 1.4× 289 1.2× 76 0.3× 5 0.2× 29 516

Countries citing papers authored by Julian Ip

Since Specialization
Citations

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

Fields of papers citing papers by Julian Ip

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julian Ip

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