Lam Chin Tan

25 total papers · 447 total citations
20 papers, 335 citations indexed

About

Lam Chin Tan is a scholar working on Transplantation, Surgery and Nephrology. According to data from OpenAlex, Lam Chin Tan has authored 20 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Transplantation, 12 papers in Surgery and 6 papers in Nephrology. Recurrent topics in Lam Chin Tan's work include Renal Transplantation Outcomes and Treatments (13 papers), Renal Diseases and Glomerulopathies (5 papers) and Organ Transplantation Techniques and Outcomes (4 papers). Lam Chin Tan is often cited by papers focused on Renal Transplantation Outcomes and Treatments (13 papers), Renal Diseases and Glomerulopathies (5 papers) and Organ Transplantation Techniques and Outcomes (4 papers). Lam Chin Tan collaborates with scholars based in United Kingdom and Egypt. Lam Chin Tan's co-authors include Habib Kashi, David Briggs, For Tai Lam, Daniel Zehnder, Simon Fletcher, Mark Hathaway, David Lowe, Rizwan Hamer, Chris Imray and Nithya Krishnan and has published in prestigious journals such as Gastroenterology, PLoS ONE and Transplantation.

In The Last Decade

Lam Chin Tan

20 papers receiving 329 citations

Author Peers

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

Author Last Decade Papers Cites
Lam Chin Tan 253 162 82 74 69 20 335
S. Flechner 273 1.1× 134 0.8× 49 0.6× 77 1.0× 47 0.7× 16 392
Samir J. Patel 263 1.0× 139 0.9× 59 0.7× 70 0.9× 49 0.7× 19 389
F. Guignier 228 0.9× 149 0.9× 75 0.9× 121 1.6× 29 0.4× 26 379
Isabel Roberti 154 0.6× 116 0.7× 97 1.2× 44 0.6× 56 0.8× 22 307
Amudha Palanisamy 306 1.2× 201 1.2× 77 0.9× 55 0.7× 101 1.5× 12 346
Tracey Ying 233 0.9× 155 1.0× 107 1.3× 45 0.6× 52 0.8× 22 403
John R. Ackermann 133 0.5× 134 0.8× 76 0.9× 48 0.6× 84 1.2× 14 304
P.G.P Machado 231 0.9× 133 0.8× 70 0.9× 38 0.5× 63 0.9× 29 344
Paul Warner 232 0.9× 183 1.1× 54 0.7× 85 1.1× 39 0.6× 29 392
Karen Henell 273 1.1× 147 0.9× 24 0.3× 139 1.9× 46 0.7× 16 373

Countries citing papers authored by Lam Chin Tan

Since Specialization
Citations

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

Fields of papers citing papers by Lam Chin Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lam Chin Tan. 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 Lam Chin Tan. The network helps show where Lam Chin Tan may publish in the future.

Co-authorship network of co-authors of Lam Chin Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Lam Chin Tan. A scholar is included among the top collaborators of Lam Chin Tan 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 Lam Chin Tan. Lam Chin Tan 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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