Eun Mi Chang

40 total papers · 1.2k total citations
32 papers, 923 citations indexed

About

Eun Mi Chang is a scholar working on Public Health, Environmental and Occupational Health, Reproductive Medicine and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Eun Mi Chang has authored 32 papers receiving a total of 923 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Public Health, Environmental and Occupational Health, 17 papers in Reproductive Medicine and 14 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Eun Mi Chang's work include Reproductive Biology and Fertility (25 papers), Assisted Reproductive Technology and Twin Pregnancy (13 papers) and Ovarian function and disorders (12 papers). Eun Mi Chang is often cited by papers focused on Reproductive Biology and Fertility (25 papers), Assisted Reproductive Technology and Twin Pregnancy (13 papers) and Ovarian function and disorders (12 papers). Eun Mi Chang collaborates with scholars based in South Korea and United States. Eun Mi Chang's co-authors include Tae Ki Yoon, Woo Sik Lee, Dong Ryul Lee, You Shin Kim, Youngsok Choi, Sang Woo Lyu, Ji Won Kim, Ok‐Hee Lee, Jung Jae Ko and Hoon Jang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Eun Mi Chang

30 papers receiving 895 citations

Author Peers

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

Author Last Decade Papers Cites
Eun Mi Chang 618 522 259 206 102 32 923
Pinar H. Kodaman 399 0.6× 435 0.8× 176 0.7× 201 1.0× 249 2.4× 30 1.1k
Gabriel Dalvit 1.0k 1.6× 770 1.5× 187 0.7× 272 1.3× 78 0.8× 31 1.2k
Cesare Aragona 514 0.8× 727 1.4× 261 1.0× 188 0.9× 108 1.1× 44 1.2k
Tegan Smith 554 0.9× 764 1.5× 87 0.3× 239 1.2× 104 1.0× 30 1.2k
Huabin Zhu 576 0.9× 440 0.8× 132 0.5× 273 1.3× 47 0.5× 36 904
Zhaokang Cui 536 0.9× 265 0.5× 136 0.5× 365 1.8× 52 0.5× 32 982
Longsen Han 515 0.8× 216 0.4× 246 0.9× 451 2.2× 58 0.6× 36 1.1k
Anima Tripathi 643 1.0× 436 0.8× 114 0.4× 380 1.8× 108 1.1× 33 1.1k
Pravin T. Goud 682 1.1× 608 1.2× 157 0.6× 210 1.0× 162 1.6× 29 1.0k
Xing Yang 505 0.8× 567 1.1× 258 1.0× 259 1.3× 241 2.4× 47 1.2k

Countries citing papers authored by Eun Mi Chang

Since Specialization
Citations

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

Fields of papers citing papers by Eun Mi Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eun Mi Chang

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