Jin Yao

920 total citations
10 papers, 822 citations indexed

About

Jin Yao is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Jin Yao has authored 10 papers receiving a total of 822 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Immunology. Recurrent topics in Jin Yao's work include Immune Response and Inflammation (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers) and Protease and Inhibitor Mechanisms (2 papers). Jin Yao is often cited by papers focused on Immune Response and Inflammation (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers) and Protease and Inhibitor Mechanisms (2 papers). Jin Yao collaborates with scholars based in United States and China. Jin Yao's co-authors include Nigel Mackman, Thomas S. Edgington, Chaoting Liu, Eileen D. Adamson, Dan Mercola, Yong Woo Lee, Michał Toborek, Bernhard Hennig, Ruo‐Pan Huang and Ian de Belle and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Cell Research.

In The Last Decade

Jin Yao

10 papers receiving 809 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jin Yao United States	7	403	266	192	136	76	10	822
Shinobu Kura Japan	13	596 1.5×	172 0.6×	179 0.9×	151 1.1×	53 0.7×	21	1.1k
Jianping Yang China	16	448 1.1×	172 0.6×	226 1.2×	206 1.5×	69 0.9×	32	903
Kirsty F. MacKenzie United Kingdom	11	401 1.0×	352 1.3×	115 0.6×	168 1.2×	65 0.9×	12	908
H. Elizabeth Broome United States	12	516 1.3×	385 1.4×	110 0.6×	192 1.4×	42 0.6×	29	1.1k
Sabine Wolter Germany	15	479 1.2×	129 0.5×	99 0.5×	84 0.6×	68 0.9×	29	753
J X Lin United States	4	263 0.7×	328 1.2×	123 0.6×	174 1.3×	45 0.6×	7	696
Valeria Tarallo Italy	19	671 1.7×	174 0.7×	176 0.9×	154 1.1×	42 0.6×	28	1.1k
Jérôme Kucharczak France	12	634 1.6×	282 1.1×	360 1.9×	188 1.4×	46 0.6×	14	1.0k
Liang Yuan China	13	496 1.2×	141 0.5×	227 1.2×	172 1.3×	62 0.8×	26	885

Countries citing papers authored by Jin Yao

Since Specialization

Citations

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

Fields of papers citing papers by Jin Yao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Yao. A scholar is included among the top collaborators of Jin 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 Jin Yao. Jin 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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10 of 10 papers shown

Abdel‐Wahab, Omar, Taghi Manshouri, Jay Patel, et al.. (2009). TET2 and ASXL1 Mutations in Leukemic Transformation of Chronic Myeloproliferative Neoplasms.. Blood. 114(22). 2894–2894. 1 indexed citations

Chen, Gang, et al.. (2004). [Effects of captopril on myocardial tissue energy metabolism and inflammation in rats with diabetic cardiomyopathy].. PubMed. 24(7). 827–8, 831. 6 indexed citations

Chen, Gang, et al.. (2002). [Expression of energy metabolism-related genes in myocardial tissues of rats with diabetic cardiomyopathy].. PubMed. 22(11). 1009–10. 1 indexed citations

Lee, Yong Woo, Bernhard Hennig, Jin Yao, & Michał Toborek. (2001). Methamphetamine induces AP‐1 and NF‐κB binding and transactivation in human brain endothelial cells. Journal of Neuroscience Research. 66(4). 583–591. 83 indexed citations

Liu, Chaoting, Jin Yao, Dan Mercola, & Eileen D. Adamson. (2000). The Transcription Factor EGR-1 Directly Transactivates the Fibronectin Gene and Enhances Attachment of Human Glioblastoma Cell Line U251. Journal of Biological Chemistry. 275(27). 20315–20323. 123 indexed citations

Liu, Chaoting, Jin Yao, Ian de Belle, et al.. (1999). The Transcription Factor EGR-1 Suppresses Transformation of Human Fibrosarcoma HT1080 Cells by Coordinated Induction of Transforming Growth Factor-β1, Fibronectin, and Plasminogen Activator Inhibitor-1. Journal of Biological Chemistry. 274(7). 4400–4411. 106 indexed citations

Zhu, Quan, Alexandra Huhalov, Jin Yao, et al.. (1999). Extended half-life and elevated steady-state level of a single-chain Fv intrabody are critical for specific intracellular retargeting of its antigen, caspase-7. Journal of Immunological Methods. 231(1-2). 207–222. 42 indexed citations

Oeth, Paul, Jin Yao, S T Fan, & Nigel Mackman. (1998). Retinoic Acid Selectively Inhibits Lipopolysaccharide Induction of Tissue Factor Gene Expression in Human Monocytes. Blood. 91(8). 2857–2865. 31 indexed citations

Yao, Jin, et al.. (1997). Lipopolysaccharide Induction of the Tumor Necrosis Factor-α Promoter in Human Monocytic Cells. Journal of Biological Chemistry. 272(28). 17795–17801. 428 indexed citations

10.

Liu, Chaoting, et al.. (1994). The inhibitory effect of transthyretin gene on growth of human hepatoma cells. Cell Research. 4(1). 89–96. 1 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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