Huiping Pei

887 total citations
10 papers, 774 citations indexed

About

Huiping Pei is a scholar working on Molecular Biology, Oncology and Biotechnology. According to data from OpenAlex, Huiping Pei has authored 10 papers receiving a total of 774 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Oncology and 2 papers in Biotechnology. Recurrent topics in Huiping Pei's work include Ubiquitin and proteasome pathways (4 papers), Cancer-related Molecular Pathways (4 papers) and Cell death mechanisms and regulation (3 papers). Huiping Pei is often cited by papers focused on Ubiquitin and proteasome pathways (4 papers), Cancer-related Molecular Pathways (4 papers) and Cell death mechanisms and regulation (3 papers). Huiping Pei collaborates with scholars based in United States, Israel and Japan. Huiping Pei's co-authors include Runzhao Li, Dennis K. Watson, Takis S. Papas, Dennis K. Watson, John S. Yordy, Dov Schwartz, Varda Rotter, Roland Wolkowicz, Nava Almog and Naomi Goldfinger and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Molecular and Cellular Biology and Cancer Research.

In The Last Decade

Huiping Pei

10 papers receiving 756 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Huiping Pei United States	10	606	263	134	114	60	10	774
Michael P. Holloway United States	13	774 1.3×	325 1.2×	159 1.2×	96 0.8×	65 1.1×	16	928
Ta-Jen Liu United States	16	566 0.9×	231 0.9×	69 0.5×	143 1.3×	82 1.4×	16	785
Y H Xu United States	5	570 0.9×	343 1.3×	122 0.9×	78 0.7×	141 2.4×	8	863
Vijay Alla Germany	15	536 0.9×	340 1.3×	72 0.5×	233 2.0×	46 0.8×	18	756
Linghu Nie United States	15	668 1.1×	470 1.8×	79 0.6×	134 1.2×	50 0.8×	18	843
Edith A. Leonhardt United States	8	587 1.0×	253 1.0×	59 0.4×	172 1.5×	74 1.2×	11	764
A. Lagarde Canada	10	362 0.6×	255 1.0×	165 1.2×	182 1.6×	90 1.5×	19	706
Naoe Taira Japan	11	544 0.9×	297 1.1×	47 0.4×	127 1.1×	47 0.8×	13	737
Ian Hammond-Martel Canada	11	734 1.2×	242 0.9×	116 0.9×	126 1.1×	77 1.3×	17	969
Janet E. Price United States	9	294 0.5×	286 1.1×	109 0.8×	111 1.0×	60 1.0×	9	564

Countries citing papers authored by Huiping Pei

Since Specialization

Citations

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

Fields of papers citing papers by Huiping Pei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huiping Pei

This figure shows the co-authorship network connecting the top 25 collaborators of Huiping Pei. A scholar is included among the top collaborators of Huiping Pei 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 Huiping Pei. Huiping Pei 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:

10 of 10 papers shown

1.

Bu, Shizhong, Masayoshi Yamanaka, Huiping Pei, et al.. (2005). Dihydrosphingosine 1‐phosphate stimulates MMP1 gene expression via activation of ERK1/2‐Ets1 pathway in human fibroblasts. The FASEB Journal. 20(1). 184–186. 51 indexed citations

2.

Pei, Huiping, et al.. (2005). Caspase-1 Is a Direct Target Gene of ETS1 and Plays a Role in ETS1-Induced Apoptosis. Cancer Research. 65(16). 7205–7213. 40 indexed citations

3.

Yordy, John S., Omar Moussa, Huiping Pei, et al.. (2004). SP100 inhibits ETS1 activity in primary endothelial cells. Oncogene. 24(5). 916–931. 40 indexed citations

4.

Yordy, John S., Runzhao Li, Victor Sementchenko, et al.. (2004). SP100 expression modulates ETS1 transcriptional activity and inhibits cell invasion. Oncogene. 23(39). 6654–6665. 41 indexed citations

5.

Pei, Huiping, John S. Yordy, Qixin Leng, et al.. (2003). EAPII interacts with ETS1 and modulates its transcriptional function. Oncogene. 22(18). 2699–2709. 60 indexed citations

6.

Li, Runzhao, Huiping Pei, Dennis K. Watson, & Takis S. Papas. (2000). EAP1/Daxx interacts with ETS1 and represses transcriptional activation of ETS1 target genes. Oncogene. 19(6). 745–753. 163 indexed citations

7.

Li, Runzhao, Huiping Pei, & Dennis K. Watson. (2000). Regulation of Ets function by protein–protein interactions. Oncogene. 19(55). 6514–6523. 192 indexed citations

8.

Li, Runzhao, Huiping Pei, & Takis S. Papas. (1999). The p42 variant of ETS1 protein rescues defective Fas-induced apoptosis in colon carcinoma cells. Proceedings of the National Academy of Sciences. 96(7). 3876–3881. 45 indexed citations

9.

Li, Runzhao, Patrick D. Sutphin, Dov Schwartz, et al.. (1998). Mutant p53 protein expression interferes with p53-independent apoptotic pathways. Oncogene. 16(25). 3269–3277. 118 indexed citations

10.

Almog, Nava, Runzhao Li, Amnon Peled, et al.. (1997). The Murine C′-Terminally Alternatively Spliced Form of p53 Induces Attenuated Apoptosis in Myeloid Cells. Molecular and Cellular Biology. 17(2). 713–722. 24 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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