KM Yao

1.3k total citations · 1 hit paper
16 papers, 1.0k citations indexed

About

KM Yao is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, KM Yao has authored 16 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Surgery. Recurrent topics in KM Yao's work include FOXO transcription factor regulation (5 papers), Pluripotent Stem Cells Research (2 papers) and Circadian rhythm and melatonin (2 papers). KM Yao is often cited by papers focused on FOXO transcription factor regulation (5 papers), Pluripotent Stem Cells Research (2 papers) and Circadian rhythm and melatonin (2 papers). KM Yao collaborates with scholars based in Hong Kong, United States and Australia. KM Yao's co-authors include Elisabetta Mueller, Gemma Solanes, Margaret E. Wright, Bradford B. Lowell, B M Spiegelman, Pasha Sarraf, Jae Bum Kim, Hys Ngan, David W. Chan and Any Cheung and has published in prestigious journals such as Journal of Clinical Investigation, PLoS ONE and Molecular and Cellular Biology.

In The Last Decade

KM Yao

16 papers receiving 1.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Nutritional and insulin regulation of fatty acid synthetase and leptin gene expression through ADD1/SREBP1.

1998 640 citations Jae Bum Kim, Pasha Sarraf et al. Journal of Clinical Investigation profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
KM Yao Hong Kong	10	671	297	238	188	174	16	1.0k
Michaela Artwohl Austria	18	448 0.7×	105 0.4×	220 0.9×	134 0.7×	217 1.2×	23	1.0k
Margaret Wilde United States	8	708 1.1×	183 0.6×	264 1.1×	119 0.6×	217 1.2×	8	1.2k
Chien-Ping Liang United States	13	646 1.0×	437 1.5×	264 1.1×	123 0.7×	435 2.5×	13	1.4k
Paulette Vallier France	11	685 1.0×	157 0.5×	387 1.6×	109 0.6×	268 1.5×	19	1.2k
Matthew M. Molusky United States	12	418 0.6×	319 1.1×	123 0.5×	170 0.9×	237 1.4×	14	1.0k
C Pacot France	9	707 1.1×	312 1.1×	196 0.8×	177 0.9×	137 0.8×	14	968
Rita Kohen Avramoglu Canada	17	373 0.6×	254 0.9×	215 0.9×	115 0.6×	276 1.6×	21	1.0k
Nir Rubins Israel	10	709 1.1×	451 1.5×	165 0.7×	87 0.5×	136 0.8×	10	1.1k
Kristina M. Kriauciunas United States	13	550 0.8×	164 0.6×	483 2.0×	91 0.5×	260 1.5×	17	983
Wen Wu China	16	705 1.1×	576 1.9×	119 0.5×	150 0.8×	79 0.5×	29	1.2k

Countries citing papers authored by KM Yao

Since Specialization

Citations

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

Fields of papers citing papers by KM Yao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by KM Yao. 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 KM Yao. The network helps show where KM Yao may publish in the future.

Co-authorship network of co-authors of KM Yao

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

All Works

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16 of 16 papers shown

Chan, David W., Winnie W. Hui, Junwen Wang, et al.. (2016). DLX1 acts as a crucial target of FOXM1 to promote ovarian cancer aggressiveness by enhancing TGF-β/SMAD4 signaling. Oncogene. 36(10). 1404–1416. 43 indexed citations

Qin, Jing, et al.. (2016). The Forkhead box transcription factor FOXM1 is required for the maintenance of cell proliferation and protection against oxidative stress in human embryonic stem cells. Stem Cell Research. 16(3). 651–661. 25 indexed citations

Yao, KM, et al.. (2015). Triapine Enhances Radiosensitivity of HPV Negative Head and Neck Squamous Cell Carcinoma Cells. International Journal of Radiation Oncology*Biology*Physics. 93(3). E513–E514. 1 indexed citations

Chan, David W., Vincent W.S. Liu, Winnie W. Hui, et al.. (2011). Aberrant Activation of ERK/FOXM1 Signaling Cascade Triggers the Cell Migration/Invasion in Ovarian Cancer Cells. PLoS ONE. 6(8). e23790–e23790. 64 indexed citations

Tsang, Siu Wai, et al.. (2009). Increased basal insulin secretion in Pdzd2-deficient mice. Molecular and Cellular Endocrinology. 315(1-2). 263–270. 8 indexed citations

Chan, David W., et al.. (2009). Overexpression of FOXG1 contributes to TGF-β resistance through inhibition of p21WAF1/CIP1 expression in ovarian cancer. British Journal of Cancer. 101(8). 1433–1443. 44 indexed citations

Pang, Brendan, et al.. (2009). Potential signaling mechanisms of the secreted PDZ domain-containing protein 2 (sPDZD2) in tumor suppression. 1 indexed citations

Chan, David W., et al.. (2008). Over‐expression of FOXM1 transcription factor is associated with cervical cancer progression and pathogenesis. The Journal of Pathology. 215(3). 245–252. 110 indexed citations

Zou, Chunlin, et al.. (2007). PDZ-domain containing-2 (PDZD2) is a novel factor that affects the growth and differentiation of human fetal pancreatic progenitor cells. The International Journal of Biochemistry & Cell Biology. 40(4). 789–803. 29 indexed citations

10.

Cheng, Alfred S.L., et al.. (2006). Inhibition of Prostate Cancer Cell Growth by Human Secreted PDZ Domain-Containing Protein 2, a Potential Autocrine Prostate Tumor Suppressor. Endocrinology. 147(11). 5023–5033. 17 indexed citations

11.

Yao, KM, et al.. (2006). Melatonin inhibits the proliferation of hormone-refractory prostate cancer cells by up-regulating p27 Kip1 expression and down-regulating activated androgen signal transduction via membrane MT1 receptor activation.. 1 indexed citations

12.

Yao, KM, et al.. (2005). Study of hedgehog signaling in cervical cancer. 4 indexed citations

13.

Shiu, Stephen Y. W., et al.. (2000). Inhibition of malignant trophoblastic cell proliferation in vitro and in vivo by melatonin. Life Sciences. 67(17). 2059–2074. 21 indexed citations

14.

Kim, Jae Bum, Pasha Sarraf, Margaret E. Wright, et al.. (1998). Nutritional and insulin regulation of fatty acid synthetase and leptin gene expression through ADD1/SREBP1.. Journal of Clinical Investigation. 101(1). 1–9. 640 indexed citations breakdown →

15.

Yao, KM & K. Andrew White. (1991). Organizational analysis of elav gene and functional analysis of ELAV protein of Drosophila melanogaster and Drosophila virilis.. Molecular and Cellular Biology. 11(6). 2994–3000. 25 indexed citations

16.

Yao, KM, W.F. Fong, & Stephen F. Ng. (1984). Putrescine biosynthesis in Tetrahymena thermophila. Biochemical Journal. 222(3). 679–684. 6 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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