William Chang

25 total papers · 900 total citations
12 papers, 380 citations indexed

About

William Chang is a scholar working on Physiology, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, William Chang has authored 12 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Physiology, 4 papers in Pulmonary and Respiratory Medicine and 2 papers in Genetics. Recurrent topics in William Chang's work include Tuberous Sclerosis Complex Research (3 papers), Corporate Governance and Law (2 papers) and Neonatal Health and Biochemistry (2 papers). William Chang is often cited by papers focused on Tuberous Sclerosis Complex Research (3 papers), Corporate Governance and Law (2 papers) and Neonatal Health and Biochemistry (2 papers). William Chang collaborates with scholars based in United States, United Kingdom and Switzerland. William Chang's co-authors include Gail S. Prins, Simon R. Johnson, Jennifer Cane, Debbie Clements, Anne E. Tattersfield, Romain Lazor, Marsha M. Cohen, Benjamin J Gray, Joyce T. Johnson and Richard Hubbard and has published in prestigious journals such as European Respiratory Journal, American Journal of Physiology-Lung Cellular and Molecular Physiology and Pediatric Research.

In The Last Decade

William Chang

12 papers receiving 363 citations

Author Peers

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

Author						Papers	Cites
William Chang	222	172	106	80	67	12	380
Izabela Malinowska-Kołodziej	240 1.1×	229 1.3×	17 0.2×	186 2.3×	36 0.5×	12	446
Kiyoshi Gomi	179 0.8×	150 0.9×	14 0.1×	142 1.8×	55 0.8×	13	372
Kristine Herrmann	108 0.5×	247 1.4×	22 0.2×	18 0.2×	110 1.6×	11	373
M.G. Sabbadini	115 0.5×	76 0.4×	25 0.2×	24 0.3×	151 2.3×	12	342
Howard E. Reidbord	61 0.3×	141 0.8×	20 0.2×	30 0.4×	89 1.3×	16	337
W. Cooper Buschemeyer	133 0.6×	160 0.9×	15 0.1×	94 1.2×	24 0.4×	10	402
Cameron G. Binnie	36 0.2×	175 1.0×	33 0.3×	61 0.8×	45 0.7×	13	413
Cátia Monteiro	83 0.4×	163 0.9×	19 0.2×	93 1.2×	11 0.2×	14	403
Aroop Mangalik	65 0.3×	137 0.8×	86 0.8×	231 2.9×	12 0.2×	13	398
Jacob Hull Kristensen	46 0.2×	157 0.9×	38 0.4×	40 0.5×	21 0.3×	11	437

Countries citing papers authored by William Chang

Since Specialization

Citations

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

Fields of papers citing papers by William Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Chang

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