Su Jen Chua

34 total papers · 1.4k total citations
18 papers, 349 citations indexed

About

Su Jen Chua is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Su Jen Chua has authored 18 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Reproductive Medicine, 8 papers in Public Health, Environmental and Occupational Health and 7 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Su Jen Chua's work include Ovarian function and disorders (8 papers), Reproductive Biology and Fertility (7 papers) and Assisted Reproductive Technology and Twin Pregnancy (7 papers). Su Jen Chua is often cited by papers focused on Ovarian function and disorders (8 papers), Reproductive Biology and Fertility (7 papers) and Assisted Reproductive Technology and Twin Pregnancy (7 papers). Su Jen Chua collaborates with scholars based in Australia, Germany and Belgium. Su Jen Chua's co-authors include Ben W. Mol, Valentine Akande, Helen L. Torrance, Jan Bosteels, Thomas D’Hooghe, Frank J. Broekmans, Steven Weyers, Christos Venetis, Thomas D’Hooghe and Salvatore Longobardi and has published in prestigious journals such as Cochrane Database of Systematic Reviews, European Heart Journal and Human Reproduction.

In The Last Decade

Su Jen Chua

17 papers receiving 333 citations

Author Peers

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

Author						Papers	Cites
Su Jen Chua	156	146	121	79	72	18	349
Hasan Tayfun Özçakır	135 0.9×	129 0.9×	153 1.3×	97 1.2×	50 0.7×	24	385
Cemalettin Akyürek	100 0.6×	123 0.8×	85 0.7×	55 0.7×	76 1.1×	24	312
Edwin P. Peterson	174 1.1×	165 1.1×	99 0.8×	66 0.8×	53 0.7×	19	382
Salih Serin	80 0.5×	143 1.0×	104 0.9×	60 0.8×	65 0.9×	24	347
L. Haaková	279 1.8×	260 1.8×	67 0.6×	78 1.0×	73 1.0×	21	394
Marianna De Falco	119 0.8×	207 1.4×	77 0.6×	94 1.2×	51 0.7×	21	340
Katherine C. Bishop	112 0.7×	95 0.7×	108 0.9×	162 2.1×	89 1.2×	17	365
Versha Cheed	150 1.0×	271 1.9×	44 0.4×	98 1.2×	49 0.7×	17	347
D. Hassiakos	109 0.7×	93 0.6×	112 0.9×	100 1.3×	101 1.4×	17	344
Ido Eldar	47 0.3×	74 0.5×	69 0.6×	65 0.8×	155 2.2×	20	401

Countries citing papers authored by Su Jen Chua

Since Specialization

Citations

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

Fields of papers citing papers by Su Jen Chua

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Su Jen Chua. 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 Su Jen Chua. The network helps show where Su Jen Chua may publish in the future.

Co-authorship network of co-authors of Su Jen Chua

This figure shows the co-authorship network connecting the top 25 collaborators of Su Jen Chua. A scholar is included among the top collaborators of Su Jen Chua 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 Su Jen Chua. Su Jen Chua 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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