Xin Luo

1.4k citations
49 papers · 1.0k indexed · h-index 22

Impact in

    • Pregnancy and preeclampsia studies
    • COVID-19 Impact on Reproduction
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Pregnancy and preeclampsia studies 21
    • COVID-19 Impact on Reproduction 6
    • Gestational Diabetes Research and Management 5
    • Reproductive System and Pregnancy 12

Xin Luo

48 papers receiving 1.0k citations

Peers

Xin Luo
Comparison fields: 5 of 102
  • Obstetrics and Gynecology 399
  • Cancer Research 276
  • Immunology 211
  • Pediatrics, Perinatology and Child Health 185
  • Hepatology 44
Replace Ulrich Pecks with:
Ulrich Pecks Germany
Fufan Zhu China
Yarong Song China
Μenelaos Zafrakas Greece
John Ilekis United States
Thomas Kolben Germany
Iordanis Navrozoglou Greece
Daniel P. Nguyen United States
Aliza Leiser United States
H Mertens Netherlands
Xin Luo relative to Ulrich Pecks Germany Ulrich Pecks's profile →
Citations per field
00.5×7.3×
Ulrich Pecks · 1×
Citations per year

Countries citing papers authored by Xin Luo

Since Specialization
Citations

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

Fields of papers citing papers by Xin Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201373
2 201367
3 202058
4 202152
5 201149
6 202142
7 201840
8 202037
9 201333
10 201333
11 201633
12 201832
13 201430
14 202329
15 201528
16 201326
17 202023
18 201622
19 201322
20 201722

About Xin Luo

Xin Luo is a scholar working on Obstetrics and Gynecology, Immunology, Cancer Research, Molecular Biology and Epidemiology, having authored 49 papers that have together received 1.0k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (21 papers), Reproductive System and Pregnancy (12 papers), MicroRNA in disease regulation (10 papers), COVID-19 Impact on Reproduction (6 papers), Gestational Diabetes Research and Management (5 papers), Preterm Birth and Chorioamnionitis (5 papers), Neonatal Respiratory Health Research (5 papers) and Birth, Development, and Health (4 papers). The work is most often cited by research in Obstetrics and Gynecology (399 citations), Cancer Research (276 citations), Immunology (211 citations), Pediatrics, Perinatology and Child Health (185 citations) and Hepatology (44 citations). Xin Luo has collaborated with scholars based in China, United Kingdom and New Zealand. Frequent co-authors include Hongbo Qi, Hongbo Qi, Mingyi Xu, Shengzheng Luo, Xiru Liu, Nan Shan, Chao Tong, Wei Bao, Philip N. Baker and Dongmei Lai. Their work appears in journals such as The Journal of Maternal-Fetal & Neonatal Medicine, Reproductive Sciences, Biology of Reproduction, Placenta and World Journal of Gastroenterology.

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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