Yoon Sing Yap

1.1k total citations
9 papers, 732 citations indexed

About

Yoon Sing Yap is a scholar working on Molecular Biology, Cancer Research and Hematology. According to data from OpenAlex, Yoon Sing Yap has authored 9 papers receiving a total of 732 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Hematology. Recurrent topics in Yoon Sing Yap's work include Acute Myeloid Leukemia Research (2 papers), Mitochondrial Function and Pathology (2 papers) and Epigenetics and DNA Methylation (2 papers). Yoon Sing Yap is often cited by papers focused on Acute Myeloid Leukemia Research (2 papers), Mitochondrial Function and Pathology (2 papers) and Epigenetics and DNA Methylation (2 papers). Yoon Sing Yap collaborates with scholars based in United States. Yoon Sing Yap's co-authors include Bryan J. Matthews, Ernest Fraenkel, Iannis Aifantis, Adam Labadorf, Simona Dalin, Evripidis Gavathiotis, Theodore Sakellaropoulos, Xufeng Chen, Andrea López and Patricio Vélez and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and Nature Immunology.

In The Last Decade

Yoon Sing Yap

7 papers receiving 729 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yoon Sing Yap United States	6	575	146	125	92	87	9	732
Julia Procter United Kingdom	8	393 0.7×	102 0.7×	50 0.4×	49 0.5×	49 0.6×	9	601
Marta Albajar Spain	11	481 0.8×	91 0.6×	84 0.7×	46 0.5×	36 0.4×	22	698
Seyedmehdi Shojaee United States	7	240 0.4×	62 0.4×	56 0.4×	33 0.4×	46 0.5×	13	508
Hua-Lu Zhao China	16	434 0.8×	63 0.4×	299 2.4×	25 0.3×	64 0.7×	28	677
Jaime M. Reyes United States	12	761 1.3×	261 1.8×	117 0.9×	51 0.6×	66 0.8×	22	1.0k
Paola Cuccarolo Italy	12	239 0.4×	71 0.5×	56 0.4×	42 0.5×	48 0.6×	19	433
Sharon Lin United States	15	349 0.6×	102 0.7×	58 0.5×	14 0.2×	84 1.0×	25	634
Malith Karunasiri United States	8	483 0.8×	38 0.3×	206 1.6×	68 0.7×	141 1.6×	14	831
Kati J. Ahlqvist Finland	10	722 1.3×	21 0.1×	70 0.6×	69 0.8×	110 1.3×	12	889
Rekha Pal United States	9	272 0.5×	139 1.0×	66 0.5×	103 1.1×	90 1.0×	25	614

Countries citing papers authored by Yoon Sing Yap

Since Specialization

Citations

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

Fields of papers citing papers by Yoon Sing Yap

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yoon Sing Yap. 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 Yoon Sing Yap. The network helps show where Yoon Sing Yap may publish in the future.

Co-authorship network of co-authors of Yoon Sing Yap

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

All Works

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9 of 9 papers shown

1.

Yap, Yoon Sing, et al.. (2025). The Small Non-Coding RNA Profile of Human and Mouse Sperm. Non-Coding RNA. 11(1). 15–15. 1 indexed citations

2.

Yap, Yoon Sing, et al.. (2023). Retinoic Acid and Ascorbate Remodel the Epigenome of Leukemia Cells to Improve Therapeutic Efficacy By Enhancing TET Activity. Blood. 142(Supplement 1). 5706–5706.

3.

Chen, Xufeng, Christina Glytsou, Hua Zhou, et al.. (2019). Targeting Mitochondrial Structure Sensitizes Acute Myeloid Leukemia to Venetoclax Treatment. Cancer Discovery. 9(7). 890–909. 214 indexed citations

4.

Soltis, Anthony R., Norman J. Kennedy, Xiaofeng Xin, et al.. (2018). Hepatic Dysfunction Caused by Consumption of a High-Fat Diet. SSRN Electronic Journal.

5.

Soltis, Anthony R., Norman J. Kennedy, Xiaofeng Xin, et al.. (2017). Hepatic Dysfunction Caused by Consumption of a High-Fat Diet. Cell Reports. 21(11). 3317–3328. 57 indexed citations

6.

Cimmino, Luisa, Meelad M. Dawlaty, Delphine Ndiaye‐Lobry, et al.. (2015). TET1 is a tumor suppressor of hematopoietic malignancy. Nature Immunology. 16(6). 653–662. 170 indexed citations

7.

Gosline, Sara J.C., Allan M. Gurtan, Courtney K. JnBaptiste, et al.. (2015). Elucidating MicroRNA Regulatory Networks Using Transcriptional, Post-transcriptional, and Histone Modification Measurements. Cell Reports. 14(2). 310–319. 72 indexed citations

8.

Lo, Kinyui Alice, Adam Labadorf, Norman J. Kennedy, et al.. (2013). Analysis of In Vitro Insulin-Resistance Models and Their Physiological Relevance to In Vivo Diet-Induced Adipose Insulin Resistance. Cell Reports. 5(1). 259–270. 89 indexed citations

9.

Ng, Christopher, Ferah Yildirim, Yoon Sing Yap, et al.. (2013). Extensive changes in DNA methylation are associated with expression of mutant huntingtin. Proceedings of the National Academy of Sciences. 110(6). 2354–2359. 129 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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