Rina Su

2.0k citations
68 papers · 1.4k indexed · h-index 24

Rina Su

63 papers receiving 1.4k citations

Peers

Rina Su
Comparison fields: 5 of 126
  • Obstetrics and Gynecology 566
  • Pediatrics, Perinatology and Child Health 361
  • Hematology 88
  • Materials Chemistry 288
  • Molecular Biology 394
Replace Mohammad Hasan Sheikhha with:
Mohammad Hasan Sheikhha Iran
Yanqing Geng China
Ying Jiang China
Lili Xiong China
Xuyang Chen China
Sungjoo Kim South Korea
Yanqin Zhang China
Fan Wu China
Rina Su relative to Mohammad Hasan Sheikhha Iran Mohammad Hasan Sheikhha's profile →
Citations per field
00.5×8.5×
Mohammad Hasan Sheikhha · 1×
Citations per year

Countries citing papers authored by Rina Su

Since Specialization
Citations

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

Fields of papers citing papers by Rina Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202411
2 20246
3 202410
4 20242
5 202331
6 202326
7 202357
8 20222
9 202235
10 20229
11 20217
12 20191
13 201854
14 201762
15 20162
16 201645
17 20151
18
Clinical analysis of cesarean scar pregnancy in 10 cases
20111
19
Application of Fuzzy Neural Network in The Quality Evaluation of Classroom Teaching
20084
20
The Coccidial Epidemiological of Cow in the Suburbs of Hohhot
20081

About Rina Su

Rina Su is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health, Biological Psychiatry, Molecular Biology and Conservation, having authored 68 papers that have together received 1.4k indexed citations. Recurring topics across this work include Gestational Diabetes Research and Management (26 papers), Pregnancy and preeclampsia studies (20 papers), Birth, Development, and Health (17 papers), Advanced Nanomaterials in Catalysis (12 papers), Advanced biosensing and bioanalysis techniques (9 papers), Nanocluster Synthesis and Applications (7 papers), Epigenetics and DNA Methylation (4 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). The work is most often cited by research in Obstetrics and Gynecology (566 citations), Pediatrics, Perinatology and Child Health (361 citations), Hematology (88 citations), Materials Chemistry (288 citations) and Molecular Biology (394 citations). Rina Su has collaborated with scholars based in China, United States and Israel. Frequent co-authors include Huixia Yang, Hui Feng, Yumei Wei, Chen Wang, Weiwei Zhu, Wenling Gu, Chengzhou Zhu, Weiqing Xu, Liuyong Hu and Yu Wu. Their work appears in journals such as PLoS ONE, Nano Letters, BMC Pregnancy and Childbirth, The Journal of Maternal-Fetal & Neonatal Medicine and Journal of Cleaner Production.

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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