Yingna Song

30 total papers · 789 total citations
19 papers, 588 citations indexed

About

Yingna Song is a scholar working on Obstetrics and Gynecology, Surgery and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Yingna Song has authored 19 papers receiving a total of 588 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Obstetrics and Gynecology, 7 papers in Surgery and 5 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Yingna Song's work include Pregnancy and preeclampsia studies (6 papers), Birth, Development, and Health (4 papers) and Gestational Diabetes Research and Management (4 papers). Yingna Song is often cited by papers focused on Pregnancy and preeclampsia studies (6 papers), Birth, Development, and Health (4 papers) and Gestational Diabetes Research and Management (4 papers). Yingna Song collaborates with scholars based in China. Yingna Song's co-authors include Yuguang Gao, R Song, Juntao Liu, Jinsong Gao, Shu Wang, Xi Wang, Wei Lin, J. Liu, Chen Chen and Pei Wang and has published in prestigious journals such as Clinica Chimica Acta, The Journal of Nutritional Biochemistry and Journal of Thoracic Oncology.

In The Last Decade

Yingna Song

15 papers receiving 566 citations

Hit Papers

The forearm flap. 1982 2026 1996 2011 1982 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. The forearm flap.
    1982 424 citations R Song, Yuguang Gao et al. PubMed profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yingna Song 427 103 103 69 51 19 588
N. Belarbi 285 0.7× 135 1.3× 29 0.3× 111 1.6× 53 1.0× 33 606
Patton B. Saul 331 0.8× 55 0.5× 164 1.6× 45 0.7× 134 2.6× 26 622
J. Klempnauer 361 0.8× 199 1.9× 29 0.3× 21 0.3× 84 1.6× 25 642
Inge Jansson 152 0.4× 75 0.7× 219 2.1× 45 0.7× 34 0.7× 24 635
F. Tiberio 223 0.5× 130 1.3× 104 1.0× 238 3.4× 34 0.7× 19 630
David Thompson 441 1.0× 42 0.4× 54 0.5× 23 0.3× 225 4.4× 30 691
AR Nussbaum 325 0.8× 41 0.4× 38 0.4× 153 2.2× 52 1.0× 15 594
Diane C. Palmer 218 0.5× 94 0.9× 27 0.3× 50 0.7× 45 0.9× 15 525
Dick J. Tinga 192 0.4× 128 1.2× 136 1.3× 66 1.0× 59 1.2× 17 631
Arvind Srivastava 287 0.7× 51 0.5× 49 0.5× 79 1.1× 78 1.5× 28 507

Countries citing papers authored by Yingna Song

Since Specialization
Citations

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

Fields of papers citing papers by Yingna Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingna Song

This figure shows the co-authorship network connecting the top 25 collaborators of Yingna Song. A scholar is included among the top collaborators of Yingna Song based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yingna Song. Yingna Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026