Kenneth Mak

28 total papers · 1.2k total citations
18 papers, 308 citations indexed

About

Kenneth Mak is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Kenneth Mak has authored 18 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Surgery, 4 papers in Pulmonary and Respiratory Medicine and 4 papers in Oncology. Recurrent topics in Kenneth Mak's work include Organ Transplantation Techniques and Outcomes (4 papers), Renal Transplantation Outcomes and Treatments (3 papers) and Liver Disease and Transplantation (3 papers). Kenneth Mak is often cited by papers focused on Organ Transplantation Techniques and Outcomes (4 papers), Renal Transplantation Outcomes and Treatments (3 papers) and Liver Disease and Transplantation (3 papers). Kenneth Mak collaborates with scholars based in Singapore and United States. Kenneth Mak's co-authors include P. M. Y. Goh, C. K. Kum, Ahmet Alponat, Fusheng Yang, Gregory M. Cole, Sally A. Frautschy, Harry V. Vinters, Kok‐Yang Tan, Anton Cheng and Simon Chan and has published in prestigious journals such as Brain Research, British journal of surgery and Epidemiology.

In The Last Decade

Kenneth Mak

16 papers receiving 287 citations

Author Peers

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

Author Last Decade Papers Cites
Kenneth Mak 162 118 64 49 36 18 308
H. J. M. Joosten 207 1.3× 102 0.9× 16 0.3× 49 1.0× 37 1.0× 22 327
Carl J. Friedman 124 0.8× 72 0.6× 46 0.7× 22 0.4× 103 2.9× 16 347
Leonardo Ficano 211 1.3× 65 0.6× 32 0.5× 67 1.4× 74 2.1× 18 350
Artem Minalyan 153 0.9× 84 0.7× 20 0.3× 74 1.5× 19 0.5× 22 299
Glenn M. Clark 116 0.7× 45 0.4× 35 0.5× 18 0.4× 17 0.5× 15 355
Taylor Taylor 69 0.4× 74 0.6× 88 1.4× 42 0.9× 37 1.0× 18 346
Gabriel Herrera‐Almario 126 0.8× 114 1.0× 37 0.6× 45 0.9× 37 1.0× 23 241
Angelo Eugenio Potenza 115 0.7× 119 1.0× 33 0.5× 126 2.6× 60 1.7× 22 353
J. Ørnsholt 242 1.5× 131 1.1× 27 0.4× 72 1.5× 57 1.6× 22 343
Gabriele Bianchi-Porro 209 1.3× 59 0.5× 18 0.3× 115 2.3× 18 0.5× 16 354

Countries citing papers authored by Kenneth Mak

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth Mak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenneth Mak

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