Jim Zhong

116 total papers · 905 total citations
57 papers, 485 citations indexed

About

Jim Zhong is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Jim Zhong has authored 57 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Pulmonary and Respiratory Medicine, 24 papers in Radiology, Nuclear Medicine and Imaging and 14 papers in Surgery. Recurrent topics in Jim Zhong's work include Radiology practices and education (10 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Renal cell carcinoma treatment (8 papers). Jim Zhong is often cited by papers focused on Radiology practices and education (10 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Renal cell carcinoma treatment (8 papers). Jim Zhong collaborates with scholars based in United Kingdom, United States and China. Jim Zhong's co-authors include Andrew Scarsbrook, Stuart Currie, Tze Min Wah, Sriram Vaidyanathan, Mark W. Dewhirst, Russell Frood, Nirmala Ramanujam, Narasimhan Rajaram, Peter Brown and Robin Prestwich and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.

In The Last Decade

Jim Zhong

48 papers receiving 476 citations

Author Peers

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

Author						Papers	Cites
Jim Zhong	186	175	126	70	65	57	485
É. Lartigau	158 0.8×	156 0.9×	141 1.1×	72 1.0×	25 0.4×	48	463
Ashwin Shinde	169 0.9×	187 1.1×	135 1.1×	111 1.6×	67 1.0×	45	506
Corinna Altini	165 0.9×	141 0.8×	157 1.2×	105 1.5×	47 0.7×	47	465
Toshiya Maebayashi	88 0.5×	200 1.1×	164 1.3×	183 2.6×	47 0.7×	87	527
Nisha Ohri	204 1.1×	232 1.3×	109 0.9×	122 1.7×	20 0.3×	53	517
Terence T. Sio	116 0.6×	250 1.4×	128 1.0×	144 2.1×	53 0.8×	41	523
K. Matsuura	117 0.6×	244 1.4×	121 1.0×	105 1.5×	91 1.4×	36	482
Derek Grose	165 0.9×	184 1.1×	77 0.6×	250 3.6×	27 0.4×	53	540
J. McAleese	197 1.1×	280 1.6×	77 0.6×	94 1.3×	24 0.4×	48	471
Ka On Lam	156 0.8×	164 0.9×	115 0.9×	205 2.9×	47 0.7×	40	489

Countries citing papers authored by Jim Zhong

Since Specialization

Citations

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

Fields of papers citing papers by Jim Zhong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jim Zhong

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