Emily Su

2.9k citations
41 papers · 1.7k · h-index 18

Impact in

Papers in

Emily Su

39 papers receiving 1.7k citations

Peers

Emily Su
Comparison fields: 5 of 95
  • Obstetrics and Gynecology 672
  • Reproductive Medicine 622
  • Immunology 421
  • Pediatrics, Perinatology and Child Health 242
  • Genetics 365
Replace Shuangbo Kong with:
Shuangbo Kong China
Sandra Bauer Austria
Emin Türkay Korgun Türkiye
Shunichiro Tsuji Japan
David R.C. Natale Canada
Mikihiro Yoshie Japan
Michael R. Caudle United States
Anoop K. Brar United States
Daniel H. Riddick United States
Alexandra Gellhaus Germany
Emily Su relative to Shuangbo Kong China Shuangbo Kong's profile →
Citations per field
00.5×2.5×
Shuangbo Kong · 1×
Citations per year

Countries citing papers authored by Emily Su

Since Specialization
Citations

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

Fields of papers citing papers by Emily Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Emily Su, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Emily Su Line = papers co-authored together Emily Su links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017267
2 2012245
3 2010210
4 2016206
5 201072
6 201372
7 201470
8 200869
9 201764
10 202142
11 201538
12 201434
13 201231
14 200931
15 201430
16 201125
17 201824
18 200723
19 202216
20 202314

About Emily Su

Emily Su is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health, Genetics, Reproductive Medicine and Immunology, having authored 41 papers that have together received 1.7k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (22 papers), Birth, Development, and Health (10 papers), Endometriosis Research and Treatment (7 papers), Estrogen and related hormone effects (7 papers), Reproductive System and Pregnancy (6 papers), Neonatal Respiratory Health Research (5 papers), Endometrial and Cervical Cancer Treatments (2 papers) and Cancer Risks and Factors (2 papers). The work is most often cited by research in Obstetrics and Gynecology (672 citations), Reproductive Medicine (622 citations), Immunology (421 citations), Pediatrics, Perinatology and Child Health (242 citations) and Genetics (365 citations). Emily Su has collaborated with scholars based in United States, Japan and Türkiye. Frequent co-authors include Serdar E. Bulun, Mary Ellen Pavone, Qing Xue, Hideki Tokunaga, Erkut Attar, Matthew T. Dyson, Ping Yin, Linda M. Ernst, Christos Coutifaris and Dongeun Huh. Their work appears in journals such as Placenta, Seminars in Reproductive Medicine, American Journal of Obstetrics and Gynecology, Clinical Science and The Journal of Clinical Endocrinology & Metabolism.

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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