Teik Min Chong

28 total papers · 914 total citations
20 papers, 636 citations indexed

About

Teik Min Chong is a scholar working on Molecular Biology, Molecular Medicine and Plant Science. According to data from OpenAlex, Teik Min Chong has authored 20 papers receiving a total of 636 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Molecular Medicine and 6 papers in Plant Science. Recurrent topics in Teik Min Chong's work include Plant Pathogenic Bacteria Studies (6 papers), Antibiotic Resistance in Bacteria (6 papers) and Plant-Microbe Interactions and Immunity (4 papers). Teik Min Chong is often cited by papers focused on Plant Pathogenic Bacteria Studies (6 papers), Antibiotic Resistance in Bacteria (6 papers) and Plant-Microbe Interactions and Immunity (4 papers). Teik Min Chong collaborates with scholars based in Malaysia, Australia and France. Teik Min Chong's co-authors include Kok‐Gan Chan, Wai‐Fong Yin, Minh‐Duy Phan, Denis Faure, Scott A. Beatson, Mark A. Schembri, Brian M. Forde, Slimane Khayi, Valérie Hélias and Chien‐Yi Chang and has published in prestigious journals such as Nature Communications, Scientific Reports and Journal of Bacteriology.

In The Last Decade

Teik Min Chong

20 papers receiving 632 citations

Author Peers

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

Author						Papers	Cites
Teik Min Chong	241	217	171	140	116	20	636
Spyros D. Kominos	299 1.2×	149 0.7×	114 0.7×	119 0.8×	59 0.5×	20	727
Nolan T. Hartwick	318 1.3×	166 0.8×	166 1.0×	95 0.7×	158 1.4×	16	604
Cinzia Benagli	191 0.8×	97 0.4×	58 0.3×	134 1.0×	57 0.5×	16	615
Mary A. Fife	160 0.7×	78 0.4×	151 0.9×	109 0.8×	74 0.6×	40	582
Rodrigo Ortega Polo	228 0.9×	114 0.5×	90 0.5×	66 0.5×	118 1.0×	29	747
Carmen Gayoso	346 1.4×	261 1.2×	298 1.7×	181 1.3×	52 0.4×	12	711
Jean-Marc Boeufgras	148 0.6×	106 0.5×	281 1.6×	166 1.2×	59 0.5×	18	707
Dingxia Shen	187 0.8×	335 1.5×	171 1.0×	182 1.3×	50 0.4×	25	680
Ralf Lopes	138 0.6×	366 1.7×	135 0.8×	165 1.2×	73 0.6×	26	611
Eliana De Gregorio	463 1.9×	146 0.7×	123 0.7×	181 1.3×	89 0.8×	38	749

Countries citing papers authored by Teik Min Chong

Since Specialization

Citations

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

Fields of papers citing papers by Teik Min Chong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Teik Min Chong. 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 Teik Min Chong. The network helps show where Teik Min Chong may publish in the future.

Co-authorship network of co-authors of Teik Min Chong

This figure shows the co-authorship network connecting the top 25 collaborators of Teik Min Chong. A scholar is included among the top collaborators of Teik Min Chong 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 Teik Min Chong. Teik Min Chong 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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