Yung‐Feng Chang

40 total papers · 852 total citations
34 papers, 720 citations indexed

About

Yung‐Feng Chang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Biochemistry. According to data from OpenAlex, Yung‐Feng Chang has authored 34 papers receiving a total of 720 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 12 papers in Cellular and Molecular Neuroscience and 12 papers in Biochemistry. Recurrent topics in Yung‐Feng Chang's work include Amino Acid Enzymes and Metabolism (12 papers), Neuroscience and Neuropharmacology Research (12 papers) and Enzyme function and inhibition (5 papers). Yung‐Feng Chang is often cited by papers focused on Amino Acid Enzymes and Metabolism (12 papers), Neuroscience and Neuropharmacology Research (12 papers) and Enzyme function and inhibition (5 papers). Yung‐Feng Chang collaborates with scholars based in United States and Taiwan. Yung‐Feng Chang's co-authors include V. Venkat Rao, Elijah Adams, Xuemin Gao, Xiaoming Pan, Yun‐Li Ma, Pradeep Kumar Ghosh, Erwin Adams, Neville Brookes, Robert Schwarcz and P. Feigenbaum and has published in prestigious journals such as Journal of Biological Chemistry, Analytical Biochemistry and Brain Research.

In The Last Decade

Yung‐Feng Chang

34 papers receiving 681 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Yung‐Feng Chang	446	204	191	145	84	34	720
Ras B. Guchhait	468 1.0×	142 0.7×	116 0.6×	93 0.6×	71 0.8×	26	879
T. Schmidt‐Glenewinkel	630 1.4×	128 0.6×	200 1.0×	44 0.3×	89 1.1×	25	887
Brian L. Goodwin	315 0.7×	51 0.3×	149 0.8×	97 0.7×	105 1.3×	42	771
Laura Caldinelli	518 1.2×	484 2.4×	125 0.7×	153 1.1×	105 1.3×	33	873
Naohito Takeda	354 0.8×	53 0.3×	190 1.0×	85 0.6×	53 0.6×	55	902
Amedeo F. D’Adamo	355 0.8×	128 0.6×	109 0.6×	204 1.4×	169 2.0×	28	756
A. D'Iorio	344 0.8×	110 0.5×	145 0.8×	55 0.4×	150 1.8×	62	688
M. Krueger	328 0.7×	63 0.3×	249 1.3×	102 0.7×	76 0.9×	19	677
James G. Christenson	407 0.9×	172 0.8×	240 1.3×	77 0.5×	121 1.4×	23	886
Osvaldo Cori	697 1.6×	142 0.7×	35 0.2×	55 0.4×	44 0.5×	42	898

Countries citing papers authored by Yung‐Feng Chang

Since Specialization

Citations

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

Fields of papers citing papers by Yung‐Feng Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yung‐Feng Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Yung‐Feng Chang. A scholar is included among the top collaborators of Yung‐Feng 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 Yung‐Feng Chang. Yung‐Feng 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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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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