Walter L. Goh

627 total citations
10 papers, 422 citations indexed

About

Walter L. Goh is a scholar working on Molecular Biology, Oncology and Organic Chemistry. According to data from OpenAlex, Walter L. Goh has authored 10 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Oncology and 2 papers in Organic Chemistry. Recurrent topics in Walter L. Goh's work include Cancer-related Molecular Pathways (4 papers), Advanced biosensing and bioanalysis techniques (4 papers) and Molecular Sensors and Ion Detection (2 papers). Walter L. Goh is often cited by papers focused on Cancer-related Molecular Pathways (4 papers), Advanced biosensing and bioanalysis techniques (4 papers) and Molecular Sensors and Ion Detection (2 papers). Walter L. Goh collaborates with scholars based in Singapore, United Kingdom and United States. Walter L. Goh's co-authors include Farid J. Ghadessy, David P. Lane, Christopher J. Brown, Min Yen Lee, Chandra Verma, Yin Nah Teo, Sydney Brenner, Soo Tng Quah, Thomas L. Joseph and Ron C.J. Schackmann and has published in prestigious journals such as Journal of the American Chemical Society, Nature Medicine and PLoS ONE.

In The Last Decade

Walter L. Goh

10 papers receiving 419 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Walter L. Goh Singapore	9	208	146	96	74	62	10	422
Samanta Cimitan Italy	9	196 0.9×	85 0.6×	93 1.0×	23 0.3×	39 0.6×	9	379
Constanze Heise Germany	12	182 0.9×	160 1.1×	127 1.3×	125 1.7×	16 0.3×	17	485
Irina Druzhkova Russia	11	235 1.1×	80 0.5×	38 0.4×	22 0.3×	39 0.6×	34	462
Victoria О. Shender Russia	13	276 1.3×	89 0.6×	24 0.3×	49 0.7×	38 0.6×	41	468
James N. Psathas United States	7	246 1.2×	88 0.6×	23 0.2×	61 0.8×	24 0.4×	7	405
Kōichi Okumura Japan	17	590 2.8×	106 0.7×	43 0.4×	53 0.7×	24 0.4×	51	939
Anneliese M. M. Gest United States	8	327 1.6×	143 1.0×	51 0.5×	37 0.5×	21 0.3×	13	568
Raghavendra Vasudeva Murthy India	12	215 1.0×	67 0.5×	69 0.7×	32 0.4×	12 0.2×	22	398
Elena S. Lymar United States	8	540 2.6×	130 0.9×	204 2.1×	50 0.7×	12 0.2×	9	810

Countries citing papers authored by Walter L. Goh

Since Specialization

Citations

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

Fields of papers citing papers by Walter L. Goh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Walter L. Goh. 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 Walter L. Goh. The network helps show where Walter L. Goh may publish in the future.

Co-authorship network of co-authors of Walter L. Goh

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

All Works

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10 of 10 papers shown

Gray, G. Kenneth, Carman Man-Chung Li, Jennifer M. Rosenbluth, et al.. (2022). A human breast atlas integrating single-cell proteomics and transcriptomics. Developmental Cell. 57(11). 1400–1420.e7. 76 indexed citations

Cader, Fathima Zumla, Xihao Hu, Walter L. Goh, et al.. (2020). A peripheral immune signature of responsiveness to PD-1 blockade in patients with classical Hodgkin lymphoma. Nature Medicine. 26(9). 1468–1479. 88 indexed citations

Zheng, Xin Ting, et al.. (2018). Ultrasensitive dynamic light scattering based nanobiosensor for rapid anticancer drug screening. Sensors and Actuators B Chemical. 279. 79–86. 15 indexed citations

Goh, Walter L., Min Yen Lee, Joy Shijia Chua, et al.. (2018). A novel molecular rotor facilitates detection of p53-DNA interactions using the Fluorescent Intercalator Displacement Assay. Scientific Reports. 8(1). 12946–12946. 6 indexed citations

Goh, Walter L., Xin Ting Zheng, Jun Li, et al.. (2018). Rapid colorimetric detection of p53 protein function using DNA-gold nanoconjugates with applications for drug discovery and cancer diagnostics. Colloids and Surfaces B Biointerfaces. 169. 214–221. 32 indexed citations

Geng, Junlong, Walter L. Goh, Chong‐Jing Zhang, et al.. (2015). A highly sensitive fluorescent light-up probe for real-time detection of the endogenous protein target and its antagonism in live cells. Journal of Materials Chemistry B. 3(29). 5933–5937. 20 indexed citations

Goh, Walter L., Min Yen Lee, Thomas L. Joseph, et al.. (2014). Molecular Rotors As Conditionally Fluorescent Labels for Rapid Detection of Biomolecular Interactions. Journal of the American Chemical Society. 136(17). 6159–6162. 97 indexed citations

Funston, Garth, Walter L. Goh, Christopher J. Brown, et al.. (2012). Binding of Translationally Controlled Tumour Protein to the N-Terminal Domain of HDM2 Is Inhibited by Nutlin-3. PLoS ONE. 7(8). e42642–e42642. 15 indexed citations

Goh, Walter L., David P. Lane, & Farid J. Ghadessy. (2010). Development of a novel multiplex in vitro binding assay to profile p53-DNA interactions. Cell Cycle. 9(15). 3102–3110. 9 indexed citations

10.

Goh, Walter L., Meihui Xu, Declan P. Lunny, et al.. (2007). Detection of the p53 response in zebrafish embryos using new monoclonal antibodies. Oncogene. 27(5). 629–640. 64 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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