Ming Bai

2.0k total citations · 1 hit paper
14 papers, 1.2k citations indexed

About

Ming Bai is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Ming Bai has authored 14 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Cancer Research and 4 papers in Oncology. Recurrent topics in Ming Bai's work include Extracellular vesicles in disease (6 papers), RNA Interference and Gene Delivery (4 papers) and MicroRNA in disease regulation (4 papers). Ming Bai is often cited by papers focused on Extracellular vesicles in disease (6 papers), RNA Interference and Gene Delivery (4 papers) and MicroRNA in disease regulation (4 papers). Ming Bai collaborates with scholars based in China, United States and Sweden. Ming Bai's co-authors include Guoguang Ying, Haiyang Zhang, Ting Deng, Yi Ba, Xinyi Wang, Hongli Li, Le Zhang, Jialu Li, Tao Ning and Rui Liu and has published in prestigious journals such as Nature Communications, Nature Reviews Molecular Cell Biology and Nature Cell Biology.

In The Last Decade

Ming Bai

14 papers receiving 1.2k 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.

Exosome-delivered EGFR regulates liver microenvironment to promote gastric cancer liver metastasis

2017 450 citations Haiyang Zhang, Ting Deng et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ming Bai China	10	1.0k	756	126	110	109	14	1.2k
Federica Felicetti Italy	19	1.2k 1.1×	743 1.0×	190 1.5×	142 1.3×	174 1.6×	33	1.5k
Karen M. Watters Ireland	18	695 0.7×	443 0.6×	124 1.0×	54 0.5×	189 1.7×	22	1.0k
Carrie Maynard Netherlands	6	876 0.8×	538 0.7×	155 1.2×	72 0.7×	321 2.9×	7	1.1k
Zain H. Rizvi United States	10	574 0.6×	443 0.6×	69 0.5×	157 1.4×	363 3.3×	22	978
Jonathon D. Roybal United States	10	433 0.4×	300 0.4×	63 0.5×	144 1.3×	236 2.2×	11	739
Erdoğan Pekcan Erkan Finland	13	822 0.8×	522 0.7×	108 0.9×	25 0.2×	136 1.2×	21	988
Suye Zhong China	5	871 0.8×	519 0.7×	134 1.1×	23 0.2×	96 0.9×	7	1.0k
Yangzhou Su China	2	861 0.8×	514 0.7×	132 1.0×	23 0.2×	87 0.8×	4	994
Vanessa Bonazzi Australia	14	575 0.6×	293 0.4×	106 0.8×	74 0.7×	223 2.0×	27	784

Countries citing papers authored by Ming Bai

Since Specialization

Citations

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

Fields of papers citing papers by Ming Bai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Bai

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

All Works

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14 of 14 papers shown

1.

Ning, Tao, Jialu Li, Yi He, et al.. (2021). Exosomal miR-208b related with oxaliplatin resistance promotes Treg expansion in colorectal cancer. Molecular Therapy. 29(9). 2723–2736. 124 indexed citations

2.

Feng, Cheng, Ming Bai, Hailin Zhang, Ang Zeng, & Wenchao Zhang. (2019). Prioritization and comprehensive analysis of genes associated with melanoma. Oncology Letters. 18(1). 127–136. 2 indexed citations

3.

Wang, Xinyi, Haiyang Zhang, Haiou Yang, et al.. (2018). Cell-derived Exosomes as Promising Carriers for Drug Delivery and Targeted Therapy. Current Cancer Drug Targets. 18(4). 347–354. 45 indexed citations

4.

Wang, Xinyi, Haiyang Zhang, Ming Bai, et al.. (2018). Exosomes Serve as Nanoparticles to Deliver Anti-miR-214 to Reverse Chemoresistance to Cisplatin in Gastric Cancer. Molecular Therapy. 26(3). 774–783. 182 indexed citations

5.

Zhang, Haiyang, Ting Deng, Rui Liu, et al.. (2017). Exosome-delivered EGFR regulates liver microenvironment to promote gastric cancer liver metastasis. Nature Communications. 8(1). 15016–15016. 450 indexed citations breakdown →

6.

Ning, Tao, Shuang Li, Yanjun Qu, et al.. (2017). miR-455 inhibits cell proliferation and migration via negative regulation of EGFR in human gastric cancer. Oncology Reports. 38(1). 175–182. 25 indexed citations

7.

Si, Yiran, Haiyang Zhang, Tao Ning, et al.. (2017). miR-26a/b Inhibit Tumor Growth and Angiogenesis by Targeting the HGF-VEGF Axis in Gastric Carcinoma. Cellular Physiology and Biochemistry. 42(4). 1670–1683. 33 indexed citations

8.

Zhang, Haiyang, Yi Wang, Ming Bai, et al.. (2017). Exosomes serve as nanoparticles to suppress tumor growth and angiogenesis in gastric cancer by delivering hepatocyte growth factor siRNA. Cancer Science. 109(3). 629–641. 127 indexed citations

9.

Bai, Ming, Yifang Liu, Mingzi Zhang, et al.. (2016). Inhibition of c-Jun N-terminal kinase signaling suppresses skin flap apoptosis in a rat ischemia and/or reperfusion model. Journal of Surgical Research. 206(2). 337–346. 8 indexed citations

10.

Dan, Dan, Mengna Zhang, Ming Bai, et al.. (2016). Visualization of the 3D structures of small organisms via LED-SIM. Frontiers in Zoology. 13(1). 26–26. 6 indexed citations

11.

Zhang, Haiyang, Ming Bai, Ting Deng, et al.. (2016). Cell-derived microvesicles mediate the delivery of miR-29a/c to suppress angiogenesis in gastric carcinoma. Cancer Letters. 375(2). 331–339. 98 indexed citations

12.

Hsu, Victor W., Ming Bai, & Jian Li. (2012). Getting active: protein sorting in endocytic recycling. Nature Reviews Molecular Cell Biology. 13(5). 323–328. 102 indexed citations

13.

Bai, Ming, Helge Gad, Gabriele Turacchio, et al.. (2011). ARFGAP1 promotes AP-2-dependent endocytosis. Nature Cell Biology. 13(5). 559–567. 33 indexed citations

14.

Zhang, Min, Ping Zou, Ming Bai, et al.. (2003). [Apoptosis of human lung cancer cells induced by activated peroxisome proliferator-activated receptor-gamma and its mechanism].. PubMed. 83(13). 1169–72. 4 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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