Kai‐Man Kam

26 total papers · 720 total citations
24 papers, 538 citations indexed

About

Kai‐Man Kam is a scholar working on Infectious Diseases, Epidemiology and Environmental Chemistry. According to data from OpenAlex, Kai‐Man Kam has authored 24 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Infectious Diseases, 7 papers in Epidemiology and 6 papers in Environmental Chemistry. Recurrent topics in Kai‐Man Kam's work include Tuberculosis Research and Epidemiology (7 papers), Marine Toxins and Detection Methods (6 papers) and Mycobacterium research and diagnosis (5 papers). Kai‐Man Kam is often cited by papers focused on Tuberculosis Research and Epidemiology (7 papers), Marine Toxins and Detection Methods (6 papers) and Mycobacterium research and diagnosis (5 papers). Kai‐Man Kam collaborates with scholars based in China, Hong Kong and Denmark. Kai‐Man Kam's co-authors include Peter Gerner‐Smidt, Enrique Pérez Gutiérrez, Susanna Lukinmaa, Bala Swaminathan, Norma Binsztein, Lai-King Ng, Kwok‐Yung Yuen, Cheuk‐Ming Tam, Moira Chan‐Yeung and Patrick C. Y. Woo and has published in prestigious journals such as Nucleic Acids Research, Food Chemistry and Journal of Clinical Microbiology.

In The Last Decade

Kai‐Man Kam

23 papers receiving 506 citations

Author Peers

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

Author Last Decade Papers Cites
Kai‐Man Kam 220 189 121 105 100 24 538
K De Schrijver 272 1.2× 110 0.6× 133 1.1× 161 1.5× 26 0.3× 45 618
Vester J. Lewis 104 0.5× 134 0.7× 55 0.5× 90 0.9× 7 0.1× 37 607
Marsha Taylor 232 1.1× 129 0.7× 118 1.0× 59 0.6× 60 0.6× 41 508
Natalia Montero 190 0.9× 167 0.9× 28 0.2× 47 0.4× 43 0.4× 32 614
Zygmunt F. Dembek 94 0.4× 90 0.5× 38 0.3× 92 0.9× 90 0.9× 31 597
Galina R. Demina 225 1.0× 191 1.0× 25 0.2× 79 0.8× 10 0.1× 21 575
Donald Lehman 144 0.7× 128 0.7× 69 0.6× 97 0.9× 5 0.1× 12 578
Jacqueline Charlier 76 0.3× 128 0.7× 71 0.6× 124 1.2× 5 0.1× 19 548
Sibel Berger 98 0.4× 121 0.6× 30 0.2× 41 0.4× 16 0.2× 20 500
Pauline K. W. Yu 89 0.4× 103 0.5× 95 0.8× 113 1.1× 6 0.1× 44 522

Countries citing papers authored by Kai‐Man Kam

Since Specialization
Citations

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

Fields of papers citing papers by Kai‐Man Kam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kai‐Man Kam. 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 Kai‐Man Kam. The network helps show where Kai‐Man Kam may publish in the future.

Co-authorship network of co-authors of Kai‐Man Kam

This figure shows the co-authorship network connecting the top 25 collaborators of Kai‐Man Kam. A scholar is included among the top collaborators of Kai‐Man Kam 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 Kai‐Man Kam. Kai‐Man Kam 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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