King Xin Koh

533 total citations
8 papers, 440 citations indexed

About

King Xin Koh is a scholar working on Molecular Biology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, King Xin Koh has authored 8 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Surgery and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in King Xin Koh's work include PI3K/AKT/mTOR signaling in cancer (4 papers), Colorectal Cancer Treatments and Studies (2 papers) and Helicobacter pylori-related gastroenterology studies (2 papers). King Xin Koh is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (4 papers), Colorectal Cancer Treatments and Studies (2 papers) and Helicobacter pylori-related gastroenterology studies (2 papers). King Xin Koh collaborates with scholars based in Singapore, Australia and United Kingdom. King Xin Koh's co-authors include Richie Soong, Marie Loh, Barry Iacopetta, Bhaskar Bhattacharya, Manuel Salto‐Tellez, Yoshiaki Ito, Manish Mani Subramaniam, Kotaro TADA, Feng Zhu and Jeffrey Hill and has published in prestigious journals such as British Journal of Pharmacology, European Journal of Cancer and Oncotarget.

In The Last Decade

King Xin Koh

8 papers receiving 435 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
King Xin Koh Singapore	7	242	185	100	90	65	8	440
Li E. Wang United States	11	330 1.4×	140 0.8×	113 1.1×	50 0.6×	44 0.7×	12	476
Jiqing Hao China	12	190 0.8×	130 0.7×	118 1.2×	31 0.3×	77 1.2×	34	442
Masataka Sasaki Japan	10	114 0.5×	70 0.4×	178 1.8×	95 1.1×	89 1.4×	24	387
A. Torregrosa Spain	6	145 0.6×	62 0.3×	122 1.2×	79 0.9×	70 1.1×	7	326
Linjun Hu China	13	250 1.0×	211 1.1×	113 1.1×	57 0.6×	89 1.4×	28	482
Shigeru Tsuyuki Japan	10	79 0.3×	80 0.4×	163 1.6×	65 0.7×	50 0.8×	32	378
Tadahiko Enoki Japan	10	143 0.6×	59 0.3×	132 1.3×	110 1.2×	43 0.7×	38	332
W Al Sarakbi United Kingdom	8	128 0.5×	108 0.6×	113 1.1×	68 0.8×	47 0.7×	11	371
Zunqiang Xiao China	13	242 1.0×	205 1.1×	99 1.0×	82 0.9×	97 1.5×	33	512
Yingfeng Zhu China	10	338 1.4×	200 1.1×	74 0.7×	28 0.3×	36 0.6×	17	459

Countries citing papers authored by King Xin Koh

Since Specialization

Citations

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

Fields of papers citing papers by King Xin Koh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by King Xin Koh. 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 King Xin Koh. The network helps show where King Xin Koh may publish in the future.

Co-authorship network of co-authors of King Xin Koh

This figure shows the co-authorship network connecting the top 25 collaborators of King Xin Koh. A scholar is included among the top collaborators of King Xin Koh 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 King Xin Koh. King Xin Koh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Yap, Yoon Sim, Nicholas Syn, Wen Yee Chay, et al.. (2017). Predictors of Hand-Foot Syndrome and Pyridoxine for Prevention of Capecitabine–Induced Hand-Foot Syndrome. JAMA Oncology. 3(11). 1538–1538. 67 indexed citations

2.

Koh, King Xin, Sarah Löw, Mohd Feroz Mohd Omar, et al.. (2017). Acquired resistance to PI3K/mTOR inhibition is associated with mitochondrial DNA mutation and glycolysis. Oncotarget. 8(66). 110133–110144. 19 indexed citations

3.

Bhattacharya, Bhaskar, Sarah Löw, Mei Ling Chong, et al.. (2016). Acquired resistance to combination treatment through loss of synergy with MEK and PI3K inhibitors in colorectal cancer. Oncotarget. 7(20). 29187–29198. 3 indexed citations

4.

Bhattacharya, Bhaskar, et al.. (2014). Increased drug resistance is associated with reduced glucose levels and an enhanced glycolysis phenotype. British Journal of Pharmacology. 171(13). 3255–3267. 73 indexed citations

5.

Bhattacharya, Bhaskar, et al.. (2012). Pharmacologic synergy between dual phosphoinositide-3-kinase and mammalian target of rapamycin inhibition and 5-Fluorouracil inPIK3CAmutant gastric cancer cells. Cancer Biology & Therapy. 13(1). 34–42. 31 indexed citations

6.

Koh, King Xin, Marie Loh, Kotaro TADA, et al.. (2010). MicroRNA-130b regulates the tumour suppressor RUNX3 in gastric cancer. European Journal of Cancer. 46(8). 1456–1463. 137 indexed citations

7.

Zhu, Feng, Marie Loh, Jeffrey Hill, et al.. (2009). Genetic factors associated with intestinal metaplasia in a high risk Singapore-Chinese population: a cohort study. BMC Gastroenterology. 9(1). 76–76. 15 indexed citations

8.

Loh, Marie, King Xin Koh, Kee Seng Chia, et al.. (2009). Meta-analysis of genetic polymorphisms and gastric cancer risk: Variability in associations according to race. European Journal of Cancer. 45(14). 2562–2568. 95 indexed citations

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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