Sha Lu

752 citations
35 papers · 285 · h-index 11

Impact in

Papers in

Sha Lu

30 papers receiving 280 citations

Peers

Sha Lu
Comparison fields: 5 of 76
  • Obstetrics and Gynecology 75
  • Pediatrics, Perinatology and Child Health 70
  • Family Practice 3
  • Endocrinology, Diabetes and Metabolism 24
  • Genetics 25
Replace Luis R. Hoyos with:
Luis R. Hoyos United States
Michela Dalmartello Italy
Mustafa Kemal Ati̇lla Türkiye
Jiaxiao Yu China
Manuela Neri Italy
Kristina Bardenheuer Germany
Amir Hakim United Kingdom
Raden Muharam Indonesia
Kecia Gaither United States
Lufee Wong Australia
Sha Lu relative to Luis R. Hoyos United States Luis R. Hoyos's profile →
Citations per field
00.5×1.5×
Luis R. Hoyos · 1×
Citations per year

Countries citing papers authored by Sha Lu

Since Specialization
Citations

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

Fields of papers citing papers by Sha Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201934
2 202227
3 202327
4 201822
5 202020
6 201617
7 201816
8 202114
9 202014
10 202311
11 202110
12 20209
13 20229
14 20229
15 20228
16 20207
17 20254
18 20034
19 20193
20 20223

About Sha Lu

Sha Lu is a scholar working on Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology, Molecular Biology, Materials Chemistry and Surgery, having authored 35 papers that have together received 285 indexed citations. Recurring topics across this work include Gestational Diabetes Research and Management (8 papers), Birth, Development, and Health (5 papers), Prenatal Screening and Diagnostics (4 papers), Ferroelectric and Piezoelectric Materials (3 papers), Pregnancy and preeclampsia studies (2 papers), Epigenetics and DNA Methylation (2 papers), Microwave Dielectric Ceramics Synthesis (2 papers) and Diabetes Management and Research (1 paper). The work is most often cited by research in Obstetrics and Gynecology (75 citations), Pediatrics, Perinatology and Child Health (70 citations), Family Practice (3 citations), Endocrinology, Diabetes and Metabolism (24 citations) and Genetics (25 citations). Sha Lu has collaborated with scholars based in China, Thailand and United Kingdom. Frequent co-authors include Wensheng Hu, Zhenming Yuan, Xiaoyan Sun, Xue Wang, Yueming Chen, Zhifen Zhang, Jiahao Wang, Hua Wen, Yunxian Zhou and Hong Cai. Their work appears in journals such as BMC Pregnancy and Childbirth, European Journal of Obstetrics & Gynecology and Reproductive Biology, Molecular Nutrition & Food Research, Clinical Epigenetics and Ultrasound in Obstetrics and Gynecology.

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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