Jun Liang Teh

35 total papers · 677 total citations
18 papers, 459 citations indexed

About

Jun Liang Teh is a scholar working on Surgery, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jun Liang Teh has authored 18 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Surgery, 9 papers in Oncology and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jun Liang Teh's work include Gastric Cancer Management and Outcomes (5 papers), Pancreatic and Hepatic Oncology Research (3 papers) and Helicobacter pylori-related gastroenterology studies (3 papers). Jun Liang Teh is often cited by papers focused on Gastric Cancer Management and Outcomes (5 papers), Pancreatic and Hepatic Oncology Research (3 papers) and Helicobacter pylori-related gastroenterology studies (3 papers). Jun Liang Teh collaborates with scholars based in Singapore, Hong Kong and United Kingdom. Jun Liang Teh's co-authors include Asim Shabbir, Jimmy Bok Yan So, Duane T. Smoot, Nakul Saxena, Wei Peng Yong, Kousaku Mimura, Hassan Ashktorab, Koji Kono, Mikael Hartman and Hirokazu Okayama and has published in prestigious journals such as Gastroenterology, Gastrointestinal Endoscopy and Clinical Gastroenterology and Hepatology.

In The Last Decade

Jun Liang Teh

17 papers receiving 451 citations

Author Peers

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

Author Last Decade Papers Cites
Jun Liang Teh 261 189 183 136 55 18 459
Georgios Ayiomamitis 213 0.8× 180 1.0× 91 0.5× 60 0.4× 62 1.1× 22 408
Junhai Pan 285 1.1× 156 0.8× 272 1.5× 68 0.5× 99 1.8× 22 528
Simona Faraci 153 0.6× 136 0.7× 140 0.8× 92 0.7× 140 2.5× 24 446
Takanobu Tabuchi 281 1.1× 204 1.1× 143 0.8× 91 0.7× 56 1.0× 26 482
Yu Nakaji 230 0.9× 212 1.1× 213 1.2× 32 0.2× 99 1.8× 28 499
Parikshit Asutosh Khadaroo 183 0.7× 275 1.5× 224 1.2× 41 0.3× 61 1.1× 18 537
J-L. van Laethem 254 1.0× 265 1.4× 133 0.7× 81 0.6× 72 1.3× 13 519
Hiroyuki Kuwano 136 0.5× 277 1.5× 181 1.0× 26 0.2× 86 1.6× 18 457
Shozo Togawa 188 0.7× 282 1.5× 254 1.4× 97 0.7× 73 1.3× 22 521
Mohammed Ilyas 188 0.7× 196 1.0× 125 0.7× 113 0.8× 70 1.3× 22 459

Countries citing papers authored by Jun Liang Teh

Since Specialization
Citations

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

Fields of papers citing papers by Jun Liang Teh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun Liang Teh. 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 Jun Liang Teh. The network helps show where Jun Liang Teh may publish in the future.

Co-authorship network of co-authors of Jun Liang Teh

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Liang Teh. A scholar is included among the top collaborators of Jun Liang Teh 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 Jun Liang Teh. Jun Liang Teh 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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