Bih-Ying Yang

421 total citations
8 papers, 361 citations indexed

About

Bih-Ying Yang is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Plant Science. According to data from OpenAlex, Bih-Ying Yang has authored 8 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Endocrinology, Diabetes and Metabolism, 3 papers in Genetics and 3 papers in Plant Science. Recurrent topics in Bih-Ying Yang's work include Growth Hormone and Insulin-like Growth Factors (3 papers), Plant Pathogenic Bacteria Studies (2 papers) and Polysaccharides and Plant Cell Walls (2 papers). Bih-Ying Yang is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (3 papers), Plant Pathogenic Bacteria Studies (2 papers) and Polysaccharides and Plant Cell Walls (2 papers). Bih-Ying Yang collaborates with scholars based in Taiwan, United States and South Korea. Bih-Ying Yang's co-authors include Thomas T. Chen, Michael W. Greene, Nien‐Tsung Lin, Yi-Hsiung Tseng, Shu-Fen Weng, Chun‐Mean Lin, T T Chen, King Ming Chan, Huei‐Chi Chou and Yu‐Ting Yan and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Journal of Cell Science and Journal of Bacteriology.

In The Last Decade

Bih-Ying Yang

8 papers receiving 351 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bih-Ying Yang Taiwan	8	103	94	91	90	75	8	361
Jianqiao Jiang United Kingdom	13	32 0.3×	91 1.0×	218 2.4×	256 2.8×	46 0.6×	20	519
Alejandro Velásquez United States	9	33 0.3×	28 0.3×	79 0.9×	43 0.5×	184 2.5×	13	428
M.J. Peddie United Kingdom	14	77 0.7×	28 0.3×	114 1.3×	91 1.0×	14 0.2×	27	487
Rebeca Martı́nez Cuba	13	38 0.4×	26 0.3×	310 3.4×	249 2.8×	203 2.7×	44	574
Takato Terada Japan	18	16 0.2×	43 0.5×	132 1.5×	240 2.7×	8 0.1×	56	928
Hiroshi Harayama Japan	22	32 0.3×	32 0.3×	233 2.6×	181 2.0×	8 0.1×	71	1.1k
Hiroki Okumura Japan	10	10 0.1×	39 0.4×	136 1.5×	146 1.6×	13 0.2×	24	383
Robin A. P. Harrison United Kingdom	9	35 0.3×	15 0.2×	104 1.1×	78 0.9×	5 0.1×	10	620
Fidel Herrera Cuba	10	16 0.2×	16 0.2×	132 1.5×	119 1.3×	140 1.9×	24	355
Liran Yadgary Israel	10	7 0.1×	40 0.4×	159 1.7×	110 1.2×	146 1.9×	12	556

Countries citing papers authored by Bih-Ying Yang

Since Specialization

Citations

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

Fields of papers citing papers by Bih-Ying Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bih-Ying Yang. 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 Bih-Ying Yang. The network helps show where Bih-Ying Yang may publish in the future.

Co-authorship network of co-authors of Bih-Ying Yang

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

All Works

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8 of 8 papers shown

Yang, Bih-Ying, et al.. (2016). HSPB7 interacts with dimerized FLNC and its absence results in progressive myopathy in skeletal muscles. Journal of Cell Science. 129(8). 1661–1670. 49 indexed citations

Chiou, P P, Bih-Ying Yang, Hung‐Chieh Lo, et al.. (2004). DEVELOPMENT OF RAINBOW TROUT HEPATOMA CELL LINES: EFFECT OF PRO-IGF-I EA4-PEPTIDE ON MORPHOLOGICAL CHANGES AND ANCHORAGE-INDEPENDENT GROWTH. In Vitro Cellular & Developmental Biology - Animal. 40(3). 118–118. 12 indexed citations

Yang, Bih-Ying & Thomas T. Chen. (2003). Identification of a New Growth Hormone Family Protein, Somatolactin-Like Protein, in the Rainbow Trout (Oncorhyncus mykiss) Pituitary Gland. Endocrinology. 144(3). 850–857. 22 indexed citations

Yang, Bih-Ying, Michael W. Greene, & Thomas T. Chen. (1999). Early embryonic expression of the growth hormone family protein genes in the developing rainbow trout,Oncorhynchus mykiss. Molecular Reproduction and Development. 53(2). 127–134. 123 indexed citations

Tseng, Yi-Hsiung, Ka-Tim Choy, Chih‐Hsin Hung, et al.. (1999). Chromosome Map of Xanthomonas campestris pv. campestris 17 with Locations of Genes Involved in Xanthan Gum Synthesis and Yellow Pigmentation. Journal of Bacteriology. 181(1). 117–125. 36 indexed citations

Yang, Bih-Ying, King Ming Chan, Chun‐Mean Lin, & T T Chen. (1997). Characterization of Rainbow Trout (Oncorhynchus mykiss) Growth Hormone 1 Gene and the Promoter Region of Growth Hormone 2 Gene. Archives of Biochemistry and Biophysics. 340(2). 359–368. 38 indexed citations

Chou, Huei‐Chi, et al.. (1997). TheXanthomonas campestris gumDGene Required for Synthesis of Xanthan Gum Is Involved in Normal Pigmentation and Virulence in Causing Black Rot. Biochemical and Biophysical Research Communications. 233(1). 265–269. 66 indexed citations

Tseng, Yi‐Hsiung, et al.. (1992). Increase of xanthan production by cloning xps genes into wild-type Xanthomonas campestris. Letters in Applied Microbiology. 14(2). 43–46. 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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