Yan Ping Loh

472 total citations
2 papers, 202 citations indexed

About

Yan Ping Loh is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Yan Ping Loh has authored 2 papers receiving a total of 202 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 1 paper in Genetics and 0 papers in Infectious Diseases. Recurrent topics in Yan Ping Loh's work include Genomics and Chromatin Dynamics (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Protein Degradation and Inhibitors (1 paper). Yan Ping Loh is often cited by papers focused on Genomics and Chromatin Dynamics (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Protein Degradation and Inhibitors (1 paper). Yan Ping Loh collaborates with scholars based in Singapore, Russia and United States. Yan Ping Loh's co-authors include Ying Zhang, Vinay Tergaonkar, Yichao Cai, Melissa J. Fullwood, Anandhkumar Raju, Shang Li, Zhendong Cao, Greg Tucker‐Kellogg, Mei Chee Lim and Erez Lieberman Aiden and has published in prestigious journals such as Nature Communications and Genome biology.

In The Last Decade

Yan Ping Loh

2 papers receiving 201 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yan Ping Loh Singapore	2	176	26	25	19	11	2	202
Yichao Cai Singapore	4	181 1.0×	27 1.0×	25 1.0×	19 1.0×	11 1.0×	4	208
Endre Bakken Stovner Norway	5	133 0.8×	24 0.9×	20 0.8×	29 1.5×	8 0.7×	5	171
Lorigail Echipare United States	3	158 0.9×	14 0.5×	21 0.8×	25 1.3×	8 0.7×	3	187
Murat Cevher United States	8	290 1.6×	28 1.1×	16 0.6×	18 0.9×	27 2.5×	10	318
Fayrouz Hammal France	2	167 0.9×	27 1.0×	30 1.2×	27 1.4×	11 1.0×	3	207
Pierre de Langen France	2	166 0.9×	27 1.0×	31 1.2×	28 1.5×	11 1.0×	3	207
Zixiang Yan China	9	235 1.3×	24 0.9×	56 2.2×	18 0.9×	6 0.5×	10	258
Steven Blinka United States	9	290 1.6×	40 1.5×	42 1.7×	20 1.1×	13 1.2×	12	309
Chih-Chi Yuan United States	4	241 1.4×	21 0.8×	14 0.6×	19 1.0×	15 1.4×	4	261
Avani P. Shah United States	5	297 1.7×	21 0.8×	21 0.8×	11 0.6×	8 0.7×	5	322

Countries citing papers authored by Yan Ping Loh

Since Specialization

Citations

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

Fields of papers citing papers by Yan Ping Loh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yan Ping Loh. 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 Yan Ping Loh. The network helps show where Yan Ping Loh may publish in the future.

Co-authorship network of co-authors of Yan Ping Loh

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

All Works

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2 of 2 papers shown

1.

Cai, Yichao, Ying Zhang, Yan Ping Loh, et al.. (2021). H3K27me3-rich genomic regions can function as silencers to repress gene expression via chromatin interactions. Nature Communications. 12(1). 719–719. 172 indexed citations

2.

Cao, Fan, Yu Zhang, Yichao Cai, et al.. (2021). Chromatin interaction neural network (ChINN): a machine learning-based method for predicting chromatin interactions from DNA sequences. Genome biology. 22(1). 226–226. 30 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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