Christina Wang

12 total papers · 681 total citations
5 papers, 573 citations indexed

About

Christina Wang is a scholar working on Reproductive Medicine, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Christina Wang has authored 5 papers receiving a total of 573 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Reproductive Medicine, 2 papers in Molecular Biology and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Christina Wang's work include Reproductive Biology and Fertility (2 papers), Sperm and Testicular Function (2 papers) and Hormonal and reproductive studies (1 paper). Christina Wang is often cited by papers focused on Reproductive Biology and Fertility (2 papers), Sperm and Testicular Function (2 papers) and Hormonal and reproductive studies (1 paper). Christina Wang collaborates with scholars based in United States. Christina Wang's co-authors include Yanhe Lue, R. S. Swerdloff, Chi-Sing Leung, Tan Van Bui, Larry A. Johnson, J. J. Bonavera, R. S. Swerdloff, Cedric Shackleton, Steven J. Santner and Laurence M. Demers and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Endocrinology and Journal of Neuroendocrinology.

In The Last Decade

Christina Wang

5 papers receiving 557 citations

Author Peers

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

Author						Papers	Cites
Christina Wang	386	195	170	150	68	5	573
M L Dufau	288 0.7×	216 1.1×	86 0.5×	218 1.5×	163 2.4×	9	654
Vivian Chan	346 0.9×	120 0.6×	86 0.5×	252 1.7×	97 1.4×	9	572
Mohan Katikineni	421 1.1×	149 0.8×	95 0.6×	308 2.1×	126 1.9×	10	670
C. M. Cargille	410 1.1×	75 0.4×	183 1.1×	156 1.0×	90 1.3×	11	660
W. J. Bremner	277 0.7×	168 0.9×	102 0.6×	409 2.7×	43 0.6×	9	652
Y. Vera	301 0.8×	256 1.3×	136 0.8×	54 0.4×	63 0.9×	11	537
David E. Lennard	279 0.7×	134 0.7×	193 1.1×	100 0.7×	163 2.4×	9	645
C. W. Freischem	344 0.9×	93 0.5×	137 0.8×	227 1.5×	43 0.6×	11	525
En-Mei Niu	204 0.5×	205 1.1×	107 0.6×	197 1.3×	200 2.9×	15	677
Ausma Dulmanis	221 0.6×	125 0.6×	76 0.4×	368 2.5×	65 1.0×	14	660

Countries citing papers authored by Christina Wang

Since Specialization

Citations

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

Fields of papers citing papers by Christina Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christina Wang

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