Jingnan Pi

1.4k total citations · 1 hit paper
5 papers, 677 citations indexed

About

Jingnan Pi is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Jingnan Pi has authored 5 papers receiving a total of 677 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Cancer Research and 1 paper in Oncology. Recurrent topics in Jingnan Pi's work include RNA modifications and cancer (5 papers), Cancer-related molecular mechanisms research (2 papers) and MicroRNA in disease regulation (2 papers). Jingnan Pi is often cited by papers focused on RNA modifications and cancer (5 papers), Cancer-related molecular mechanisms research (2 papers) and MicroRNA in disease regulation (2 papers). Jingnan Pi collaborates with scholars based in China and United States. Jingnan Pi's co-authors include Jia Yu, Fang Wang, Dongling Zou, Lanfang Li, Ping Yi, Yanmin Si, Chunming Cheng, Qingya Luo, Jing Jin and Yang Yu and has published in prestigious journals such as Nucleic Acids Research, Advanced Materials and Nature Communications.

In The Last Decade

Jingnan Pi

5 papers receiving 672 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.

The m6A reader YTHDF1 promotes ovarian cancer progression via augmenting EIF3C translation

2020 530 citations Tao Liu, Qinglv Wei et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jingnan Pi China	5	640	393	79	52	31	5	677
Fengyu Zhu China	10	454 0.7×	224 0.6×	72 0.9×	88 1.7×	27 0.9×	19	560
Yanmin Si China	8	634 1.0×	382 1.0×	75 0.9×	59 1.1×	34 1.1×	13	668
Pooja Yadav India	7	388 0.6×	215 0.5×	49 0.6×	50 1.0×	22 0.7×	16	424
Qiou Gu China	9	521 0.8×	380 1.0×	36 0.5×	94 1.8×	22 0.7×	10	603
Maosheng Cheng China	12	814 1.3×	424 1.1×	115 1.5×	132 2.5×	61 2.0×	21	901
Cuiling Zeng China	9	443 0.7×	280 0.7×	34 0.4×	76 1.5×	48 1.5×	13	527
Victoria K. Xie United States	7	399 0.6×	204 0.5×	40 0.5×	67 1.3×	11 0.4×	11	444
Chenglai Dong China	7	401 0.6×	260 0.7×	20 0.3×	79 1.5×	51 1.6×	10	482
Zhuoxing Gao China	6	295 0.5×	158 0.4×	22 0.3×	53 1.0×	22 0.7×	8	342

Countries citing papers authored by Jingnan Pi

Since Specialization

Citations

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

Fields of papers citing papers by Jingnan Pi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingnan Pi

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

All Works

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5 of 5 papers shown

1.

You, Qing, Fang Wang, Rong Du, et al.. (2022). m⁶A Reader YTHDF1‐Targeting Engineered Small Extracellular Vesicles for Gastric Cancer Therapy via Epigenetic and Immune Regulation. Advanced Materials. 35(8). e2204910–e2204910. 51 indexed citations

2.

Liu, Tao, Qinglv Wei, Jing Jin, et al.. (2020). The m6A reader YTHDF1 promotes ovarian cancer progression via augmenting EIF3C translation. Nucleic Acids Research. 48(7). 3816–3831. 530 indexed citations breakdown →

3.

Zhang, Zhengyi, Jingnan Pi, Dongling Zou, et al.. (2019). microRNA arm-imbalance in part from complementary targets mediated decay promotes gastric cancer progression. Nature Communications. 10(1). 4397–4397. 64 indexed citations

4.

Zhang, Jie, Jingnan Pi, Yue Liu, Yu Jia, & Tao Feng. (2017). [Knockdown of YTH N⁶-methyladenosine RNA binding protein 2 (YTHDF2) inhibits proliferation and promotes apoptosis in MGC-803 gastric cancer cells].. PubMed. 33(12). 1628–1634. 17 indexed citations

5.

Li, Feng, Ping Yi, Jingnan Pi, et al.. (2016). QKI5-mediated alternative splicing of the histone variant macroH2A1 regulates gastric carcinogenesis. Oncotarget. 7(22). 32821–32834. 15 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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