Juan Gui

540 citations
23 papers · 377 · h-index 10

Impact in

Papers in

Juan Gui

20 papers receiving 364 citations

Peers

Juan Gui
Comparison fields: 5 of 56
  • Obstetrics and Gynecology 245
  • Pediatrics, Perinatology and Child Health 101
  • Reproductive Medicine 24
  • Endocrinology, Diabetes and Metabolism 44
  • Geriatrics and Gerontology 10
Replace Nao Murabayashi with:
Nao Murabayashi Japan
Mei‐Leng Cheong Taiwan
B. Schauf Germany
Sara Zullino Italy
Grażyna Kurzawińska Poland
Elżbieta Poniedziałek‐Czajkowska Poland
Shiguo Liu China
Shigenori Iwagaki Japan
Meena Balakrishnan United States
Juan Gui relative to Nao Murabayashi Japan Nao Murabayashi's profile →
Citations per field
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Nao Murabayashi · 1×
Citations per year

Countries citing papers authored by Juan Gui

Since Specialization
Citations

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

Fields of papers citing papers by Juan Gui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Juan Gui, 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 Juan Gui Line = papers co-authored together Juan Gui links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013157
2 201340
3 201533
4 201526
5 201425
6 201716
7 202012
8 201812
9 201412
10 201211
11 20129
12 20215
13 20165
14 20104
15
[Establishment of a 15 loci multiplex amplification system and the genetic poly- morphism in Xinjiang Uygur population].
20153
16 20222
17 20112
18 20131
19 20201
20 20131

About Juan Gui

Juan Gui is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health, Molecular Biology, Genetics and Immunology, having authored 23 papers that have together received 377 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (5 papers), Reproductive System and Pregnancy (4 papers), Gestational Diabetes Research and Management (4 papers), Forensic and Genetic Research (3 papers), Gynecological conditions and treatments (3 papers), Birth, Development, and Health (3 papers), Bariatric Surgery and Outcomes (2 papers) and Endometriosis Research and Treatment (2 papers). The work is most often cited by research in Obstetrics and Gynecology (245 citations), Pediatrics, Perinatology and Child Health (101 citations), Reproductive Medicine (24 citations), Endocrinology, Diabetes and Metabolism (44 citations) and Geriatrics and Gerontology (10 citations). Juan Gui has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Ling Feng, Qing Liu, Aizhen Li, Frauke von Versen‐Höynck, Wangming Xu, Yong Zhou, Jun Yu, Fan Xiong, Carl A. Hubel and Guang-ying Huang. Their work appears in journals such as BMC Pregnancy and Childbirth, Legal Medicine, Placenta, OncoTargets and Therapy and American Journal of Reproductive Immunology.

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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