Xiaohong Lin

1.5k citations
51 papers · 1.1k · h-index 18

Impact in

Papers in

Xiaohong Lin

42 papers receiving 1.1k citations

Peers

Xiaohong Lin
Comparison fields: 5 of 106
  • Obstetrics and Gynecology 218
  • Biochemistry 62
  • Endocrinology, Diabetes and Metabolism 172
  • Genetics 98
  • Transplantation 24
Replace Shifra Sela with:
Shifra Sela Israel
Camilla F. Wenceslau United States
Roberto Vargas United States
Daniel Kraus Germany
Mònica Sabater Spain
Angelica Giuliani Italy
Na Wu China
Rildo Aparecido Volpini Brazil
Valeska Ormazábal Chile
Xiaohong Lin relative to Shifra Sela Israel Shifra Sela's profile →
Citations per field
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Shifra Sela · 1×
Citations per year

Countries citing papers authored by Xiaohong Lin

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohong Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019205
2 2013159
3 2014108
4 2017106
5 2014100
6 201153
7 201639
8 201732
9 202031
10 201524
11 201922
12 201419
13 201019
14
Up-regulation of Wnt7b rather than Wnt1, Wnt7a, and Wnt9a indicates poor prognosis in breast cancer.
201819
15
Quality of sleep and health-related quality of life in renal transplant recipients.
201518
16 201717
17 201117
18 201517
19
Up-regulation of the tumor promoter Glyoxalase-1 indicates poor prognosis in breast cancer.
201713
20 201613

About Xiaohong Lin

Xiaohong Lin is a scholar working on Epidemiology, Obstetrics and Gynecology, Molecular Biology, Surgery and Pediatrics, Perinatology and Child Health, having authored 51 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (10 papers), Gestational Diabetes Research and Management (8 papers), Birth, Development, and Health (7 papers), Organ Transplantation Techniques and Outcomes (4 papers), Liver Disease and Transplantation (4 papers), Cancer-related gene regulation (3 papers), Liver Disease Diagnosis and Treatment (3 papers) and Diabetes Management and Research (2 papers). The work is most often cited by research in Obstetrics and Gynecology (218 citations), Biochemistry (62 citations), Endocrinology, Diabetes and Metabolism (172 citations), Genetics (98 citations) and Transplantation (24 citations). Xiaohong Lin has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jianmin Niu, Jiying Wen, Lijuan Lv, Qiong Lei, Yuheng Zhou, Dongmei Duan, Maogen Chen, Aiguo Xuan, Biao Xu and Zhuo Gong. Their work appears in journals such as Annals of Translational Medicine, Scientific Reports, Frontiers in Immunology, Journal of Neuroinflammation and International Journal of Infectious Diseases.

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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