Julian Leong

52 total papers · 1.2k total citations
25 papers, 788 citations indexed

About

Julian Leong is a scholar working on Surgery, Biomedical Engineering and Pathology and Forensic Medicine. According to data from OpenAlex, Julian Leong has authored 25 papers receiving a total of 788 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Surgery, 8 papers in Biomedical Engineering and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Julian Leong's work include Surgical Simulation and Training (6 papers), Spine and Intervertebral Disc Pathology (5 papers) and Anatomy and Medical Technology (5 papers). Julian Leong is often cited by papers focused on Surgical Simulation and Training (6 papers), Spine and Intervertebral Disc Pathology (5 papers) and Anatomy and Medical Technology (5 papers). Julian Leong collaborates with scholars based in United Kingdom, Kuwait and Singapore. Julian Leong's co-authors include Ara Darzi, Guang‐Zhong Yang, Deepak M. Kalaskar, Louis Atallah, Marios Nicolaou, Rajesh Aggarwal, Daniel Leff, Claudio Capelli, George Mylonas and Roger Emery and has published in prestigious journals such as Advanced Functional Materials, Annals of Surgery and Spine.

In The Last Decade

Julian Leong

23 papers receiving 768 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 Leong 420 356 82 81 67 25 788
A.A.H.J. Sauren 238 0.6× 272 0.8× 99 1.2× 28 0.3× 18 0.3× 29 817
Dongmei Wang 348 0.8× 180 0.5× 123 1.5× 65 0.8× 49 0.7× 80 844
Dietmar Rafolt 118 0.3× 368 1.0× 90 1.1× 47 0.6× 43 0.6× 54 762
Hans Chaudhry 163 0.4× 219 0.6× 166 2.0× 28 0.3× 33 0.5× 40 714
Géraldo De Coulon 336 0.8× 174 0.5× 126 1.5× 110 1.4× 19 0.3× 65 846
Lampros Kourtis 164 0.4× 141 0.4× 59 0.7× 10 0.1× 72 1.1× 15 688
S. Laporte 491 1.2× 423 1.2× 119 1.5× 107 1.3× 133 2.0× 49 861
H. Aho 353 0.8× 82 0.2× 257 3.1× 30 0.4× 29 0.4× 24 870
Michael Hardisty 413 1.0× 186 0.5× 94 1.1× 87 1.1× 72 1.1× 49 647
Diana M. Perriman 456 1.1× 178 0.5× 215 2.6× 64 0.8× 28 0.4× 76 907

Countries citing papers authored by Julian Leong

Since Specialization
Citations

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

Fields of papers citing papers by Julian Leong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julian Leong

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