Wing Cheong Yam

41 total papers · 1.3k total citations
31 papers, 920 citations indexed

About

Wing Cheong Yam is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, Wing Cheong Yam has authored 31 papers receiving a total of 920 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Infectious Diseases, 19 papers in Epidemiology and 8 papers in Surgery. Recurrent topics in Wing Cheong Yam's work include Tuberculosis Research and Epidemiology (13 papers), Mycobacterium research and diagnosis (8 papers) and Infectious Diseases and Tuberculosis (6 papers). Wing Cheong Yam is often cited by papers focused on Tuberculosis Research and Epidemiology (13 papers), Mycobacterium research and diagnosis (8 papers) and Infectious Diseases and Tuberculosis (6 papers). Wing Cheong Yam collaborates with scholars based in Hong Kong, China and United States. Wing Cheong Yam's co-authors include Kwok‐Yung Yuen, Malik Peiris, Leo L. M. Poon, Kwok Hung Chan, Morten Rühwald, Keertan Dheda, Grant Theron, Jonny Peter, Yuk Ming Dennis Lo and Ying Zhang and has published in prestigious journals such as The Lancet, The Journal of Immunology and American Journal of Respiratory and Critical Care Medicine.

In The Last Decade

Wing Cheong Yam

31 papers receiving 888 citations

Author Peers

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

Author Last Decade Papers Cites
Wing Cheong Yam 589 435 188 163 79 31 920
Annerose Serr 378 0.6× 508 1.2× 178 0.9× 188 1.2× 44 0.6× 42 1.2k
Christian Chuard 414 0.7× 484 1.1× 233 1.2× 210 1.3× 32 0.4× 49 1.1k
Kathleen G. Beavis 642 1.1× 502 1.2× 126 0.7× 152 0.9× 134 1.7× 51 1.2k
Patricia Nassos 686 1.2× 694 1.6× 140 0.7× 173 1.1× 38 0.5× 35 1.1k
Joël Fleury Djoba Siawaya 521 0.9× 438 1.0× 215 1.1× 158 1.0× 44 0.6× 52 978
Matthew K. O’Shea 623 1.1× 406 0.9× 152 0.8× 157 1.0× 33 0.4× 69 1.1k
Manuel Etienne 196 0.3× 353 0.8× 161 0.9× 115 0.7× 60 0.8× 59 817
Nada Harik 651 1.1× 332 0.8× 338 1.8× 365 2.2× 43 0.5× 21 1.2k
Xin Ding 180 0.3× 421 1.0× 148 0.8× 191 1.2× 99 1.3× 56 1.2k
Pieter W. Smit 415 0.7× 490 1.1× 98 0.5× 90 0.6× 40 0.5× 36 957

Countries citing papers authored by Wing Cheong Yam

Since Specialization
Citations

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

Fields of papers citing papers by Wing Cheong Yam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wing Cheong Yam. 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 Wing Cheong Yam. The network helps show where Wing Cheong Yam may publish in the future.

Co-authorship network of co-authors of Wing Cheong Yam

This figure shows the co-authorship network connecting the top 25 collaborators of Wing Cheong Yam. A scholar is included among the top collaborators of Wing Cheong Yam 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 Wing Cheong Yam. Wing Cheong Yam 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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