Yang Gu

3.5k citations
111 papers · 2.6k indexed · h-index 30

Impact in

Papers in

Yang Gu

105 papers receiving 2.6k citations

Peers

Yang Gu
Comparison fields: 5 of 109
  • Obstetrics and Gynecology 1.4k
  • Immunology 881
  • Pediatrics, Perinatology and Child Health 767
  • Cancer Research 359
  • Biological Psychiatry 42
Replace Daniela Marzioni with:
Daniela Marzioni Italy
Yuping Wang United States
Valorie L. Chiasson United States
Stefano Raffaele Giannubilo Italy
Antonio Pérez‐Pérez Spain
Carrie Ris‐Stalpers Netherlands
Amos Douvdevani Israel
Katherine Cianflone Canada
Fiona Lyall United Kingdom
Jianjun Zhou China
Yang Gu relative to Daniela Marzioni Italy Daniela Marzioni's profile →
Citations per field
00.5×3.7×
Daniela Marzioni · 1×
Citations per year

Countries citing papers authored by Yang Gu

Since Specialization
Citations

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

Fields of papers citing papers by Yang Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 111 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017246
2 2007154
3 2013125
4 2012125
5 2004103
6 201384
7 201968
8 200265
9 200553
10 201051
11 200449
12 202048
13 201045
14 199643
15 200142
16 200842
17 201340
18 200438
19 200438
20 201038

About Yang Gu

Yang Gu is a scholar working on Obstetrics and Gynecology, Immunology, Pediatrics, Perinatology and Child Health, Nephrology and Cancer Research, having authored 111 papers that have together received 2.6k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (69 papers), Reproductive System and Pregnancy (34 papers), Birth, Development, and Health (28 papers), Blood Coagulation and Thrombosis Mechanisms (9 papers), MicroRNA in disease regulation (9 papers), Pregnancy and Medication Impact (7 papers), Maternal and fetal healthcare (7 papers) and Cancer-related molecular mechanisms research (5 papers). The work is most often cited by research in Obstetrics and Gynecology (1.4k citations), Immunology (881 citations), Pediatrics, Perinatology and Child Health (767 citations), Cancer Research (359 citations) and Biological Psychiatry (42 citations). Yang Gu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Yuping Wang, David F. Lewis, Lynn J. Groome, Yanping Zhang, Jingxia Sun, Shuang Zhao, Y. Wang, Xiwen Zhang, J. Steven Alexander and Jin Geng. Their work appears in journals such as Placenta, American Journal of Reproductive Immunology, American Journal of Obstetrics and Gynecology, Pregnancy Hypertension and Reproductive Sciences.

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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