Jen‐Yea Chang

422 total citations
9 papers, 331 citations indexed

About

Jen‐Yea Chang is a scholar working on Hematology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jen‐Yea Chang has authored 9 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Hematology, 4 papers in Molecular Biology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jen‐Yea Chang's work include Blood Coagulation and Thrombosis Mechanisms (4 papers), Receptor Mechanisms and Signaling (3 papers) and Neurotransmitter Receptor Influence on Behavior (3 papers). Jen‐Yea Chang is often cited by papers focused on Blood Coagulation and Thrombosis Mechanisms (4 papers), Receptor Mechanisms and Signaling (3 papers) and Neurotransmitter Receptor Influence on Behavior (3 papers). Jen‐Yea Chang collaborates with scholars based in United States, Sweden and Taiwan. Jen‐Yea Chang's co-authors include Dougald M. Monroe, Harold R. Roberts, Ch. Owman, Jan Erik Hardebo, Julie A. Oliver, David L. Straight, D. Varon, Markus H. Heim, Maureane Hoffman and J.A. Oliver and has published in prestigious journals such as Biochemistry, British Journal of Haematology and Thrombosis and Haemostasis.

In The Last Decade

Jen‐Yea Chang

9 papers receiving 323 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jen‐Yea Chang United States	9	157	73	71	49	47	9	331
Purba Biswas United States	7	54 0.3×	141 1.9×	22 0.3×	17 0.3×	16 0.3×	9	336
Marilyn C. Towns United States	6	80 0.5×	86 1.2×	117 1.6×	91 1.9×	33 0.7×	7	378
K-U Eckardt Germany	10	194 1.2×	130 1.8×	65 0.9×	72 1.5×	8 0.2×	19	414
H Iwashita Japan	9	45 0.3×	76 1.0×	26 0.4×	30 0.6×	47 1.0×	26	257
Bianca Rocca Italy	12	133 0.8×	91 1.2×	70 1.0×	11 0.2×	4 0.1×	15	368
U Bucher Switzerland	9	94 0.6×	100 1.4×	41 0.6×	38 0.8×	34 0.7×	57	345
Fatime O. Goda United States	7	53 0.3×	273 3.7×	23 0.3×	75 1.5×	21 0.4×	7	478
Akikazu Takada Japan	9	88 0.6×	74 1.0×	20 0.3×	44 0.9×	39 0.8×	15	400
K.S. Lau Hong Kong	11	37 0.2×	159 2.2×	20 0.3×	33 0.7×	27 0.6×	22	403
Mariia Kumskova United States	9	102 0.6×	70 1.0×	30 0.4×	15 0.3×	9 0.2×	19	286

Countries citing papers authored by Jen‐Yea Chang

Since Specialization

Citations

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

Fields of papers citing papers by Jen‐Yea Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jen‐Yea Chang. 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 Jen‐Yea Chang. The network helps show where Jen‐Yea Chang may publish in the future.

Co-authorship network of co-authors of Jen‐Yea Chang

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

All Works

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9 of 9 papers shown

Amin, Chirag, Soheir Adam, Micah J. Mooberry, et al.. (2015). Coagulation activation in sickle cell trait: an exploratory study. British Journal of Haematology. 171(4). 638–646. 19 indexed citations

Chang, Jen‐Yea, Pichika Chantrathammachart, Dougald M. Monroe, & Nigel S. Key. (2012). Studies on the mechanism of action of the aptamer BAX499, an Inhibitor of tissue factor pathway inhibitor. Thrombosis Research. 130(3). e151–e157. 22 indexed citations

Chen, Li‐Tzong, Yee Chao, Jen‐Yea Chang, et al.. (2005). α‐fetoprotein response predicts survival benefits of thalidomide in advanced hepatocellular carcinoma. Alimentary Pharmacology & Therapeutics. 22(3). 217–226. 41 indexed citations

Monroe, Dougald M., Julie A. Oliver, Harold R. Roberts, & Jen‐Yea Chang. (1999). TFPIβ, a Second Product from the Mouse Tissue Factor Pathway Inhibitor (TFPI) Gene. Thrombosis and Haemostasis. 81(1). 45–49. 48 indexed citations

Kessler, C. M., D. Varon, Markus H. Heim, et al.. (1998). Newer concepts of blood coagulation. Haemophilia. 4(4). 331–334. 80 indexed citations

Chang, Jen‐Yea, et al.. (1995). The roles of factor VII's structural domains in tissue factor binding. Biochemistry. 34(38). 12227–12232. 26 indexed citations

Chang, Jen‐Yea, et al.. (1989). Cerebrovascular serotonergic receptors mediating vasoconstriction: further evidence for the existence of 5‐HT₂receptors in rat and 5‐HTVIike receptors in guinea‐pig basilar arteries. Acta Physiologica Scandinavica. 136(1). 59–67. 28 indexed citations

Chang, Jen‐Yea, Jan Erik Hardebo, & Ch. Owman. (1988). Differential vasomotor action of noradrenaline, serotonin, and histamine in isolated basilar artery from rat and guinea‐pig. Acta Physiologica Scandinavica. 132(1). 91–102. 47 indexed citations

Chang, Jen‐Yea, et al.. (1987). Nerves containing serotonin, its interaction with noradrenaline, and characterization of serotonin receptors in cerebral arteries of monkey. Journal of Autonomic Pharmacology. 7(4). 317–330. 20 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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