Songling Li

2.6k total citations · 1 hit paper
41 papers, 1.5k citations indexed

About

Songling Li is a scholar working on Molecular Biology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Songling Li has authored 41 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 8 papers in Immunology and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Songling Li's work include RNA and protein synthesis mechanisms (8 papers), Monoclonal and Polyclonal Antibodies Research (7 papers) and SARS-CoV-2 and COVID-19 Research (5 papers). Songling Li is often cited by papers focused on RNA and protein synthesis mechanisms (8 papers), Monoclonal and Polyclonal Antibodies Research (7 papers) and SARS-CoV-2 and COVID-19 Research (5 papers). Songling Li collaborates with scholars based in Japan, China and United States. Songling Li's co-authors include Daron M. Standley, John Rozewicki, Kazutaka Katoh, Kazuo Yamashita, Dieter W. Heermann, Jaya Prakash Chalise, Hamza Hanieh, Tadamitsu Kishimoto, Paul A. Wiggins and Kishan Kumar Nyati and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Songling Li

37 papers receiving 1.5k citations

Hit Papers

MAFFT-DASH: integrated protein sequence and structural al... 2019 2026 2021 2023 2019 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Songling Li Japan 20 929 198 160 149 136 41 1.5k
Ben Crossett Australia 27 858 0.9× 207 1.0× 142 0.9× 165 1.1× 186 1.4× 69 1.9k
Thelma A. Pertinhez Italy 27 1.3k 1.4× 140 0.7× 216 1.4× 76 0.5× 85 0.6× 102 2.3k
Miloslav Šanda Czechia 27 1.3k 1.4× 294 1.5× 99 0.6× 200 1.3× 106 0.8× 78 2.1k
Matt Pearce United Kingdom 4 878 0.9× 117 0.6× 251 1.6× 131 0.9× 145 1.1× 8 1.5k
Toshitaka Sato Japan 13 1.6k 1.7× 142 0.7× 145 0.9× 52 0.3× 124 0.9× 21 2.5k
Ejvind Mørtz Denmark 16 995 1.1× 174 0.9× 72 0.5× 165 1.1× 52 0.4× 27 1.7k
Lei Zheng United States 17 1.3k 1.4× 97 0.5× 293 1.8× 70 0.5× 128 0.9× 42 1.9k
Daniela Pagnozzi Italy 31 1.3k 1.4× 225 1.1× 67 0.4× 70 0.5× 210 1.5× 86 2.4k
Christian Obermaier Germany 10 1.3k 1.4× 87 0.4× 162 1.0× 58 0.4× 100 0.7× 16 2.1k
Robert Wildgruber Germany 17 1.3k 1.4× 87 0.4× 222 1.4× 61 0.4× 79 0.6× 26 2.3k

Countries citing papers authored by Songling Li

Since Specialization
Citations

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

Fields of papers citing papers by Songling Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Songling Li

This figure shows the co-authorship network connecting the top 25 collaborators of Songling Li. A scholar is included among the top collaborators of Songling Li 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 Songling Li. Songling Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Shi, Ying, et al.. (2025). Q -Compensated Full Waveform Inversion Based on Constant-Fractional Explicit Stable Compensated Equation. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–14.
3.
Pei, Zhipeng, et al.. (2023). In Vitro Affinity Maturation of Nanobodies against Mpox Virus A29 Protein Based on Computer-Aided Design. Molecules. 28(19). 6838–6838. 10 indexed citations
4.
Terada, Tohru, Jun-ichi Kishikawa, Mika Hirose, et al.. (2023). Enhancement of SARS-CoV-2 Infection via Crosslinking of Adjacent Spike Proteins by N-Terminal Domain-Targeting Antibodies. Viruses. 15(12). 2421–2421. 4 indexed citations
5.
Davila, Ana, Zichang Xu, Songling Li, et al.. (2022). AbAdapt: an adaptive approach to predicting antibody–antigen complex structures from sequence. Bioinformatics Advances. 2(1). vbac015–vbac015. 21 indexed citations
6.
Inaba, Tohru, Takao Arimori, Daisuke Motooka, et al.. (2022). An engineered ACE2 decoy neutralizes the SARS-CoV-2 Omicron variant and confers protection against infection in vivo. Science Translational Medicine. 14(650). eabn7737–eabn7737. 34 indexed citations
7.
Tartey, Sarang, Yuki Yoshikawa, Koshi Imami, et al.. (2022). Cyclin J–CDK complexes limit innate immune responses by reducing proinflammatory changes in macrophage metabolism. Science Signaling. 15(729). eabm5011–eabm5011. 6 indexed citations
8.
Gao, Feng, et al.. (2022). Dual signal-based electrochemical aptasensor for simultaneous detection of Lead(II) and Mercury(II) in environmental water samples. Biosensors and Bioelectronics. 209. 114280–114280. 43 indexed citations
9.
Metwally, Hozaifa, Toshio Tanaka, Songling Li, et al.. (2020). Noncanonical STAT1 phosphorylation expands its transcriptional activity into promoting LPS-induced IL-6 and IL-12p40 production. Science Signaling. 13(624). 35 indexed citations
10.
Teraguchi, Shunsuke, Mara Anaís Llamas-Covarrubias, Ana Davila, et al.. (2020). Methods for sequence and structural analysis of B and T cell receptor repertoires. Computational and Structural Biotechnology Journal. 18. 2000–2011. 24 indexed citations
11.
Ono, Chikako, Takasuke Fukuhara, Songling Li, et al.. (2020). Various miRNAs compensate the role of miR-122 on HCV replication. PLoS Pathogens. 16(6). e1008308–e1008308. 13 indexed citations
12.
Xiao, Ran, Han Zhang, Zhineng Tu, et al.. (2019). Enhanced removal of phosphate and ammonium by MgO-biochar composites with NH3·H2O hydrolysis pretreatment. Environmental Science and Pollution Research. 27(7). 7493–7503. 38 indexed citations
13.
Li, Songling, Shunsuke Teraguchi, Floris J. van Eerden, et al.. (2019). Structural Modeling of Lymphocyte Receptors and Their Antigens. Methods in molecular biology. 2048. 207–229. 14 indexed citations
15.
Hanieh, Hamza, Kazuya Masuda, Hozaifa Metwally, et al.. (2017). Arid5a stabilizes OX40 mRNA in murine CD4+ T cells by recognizing a stem‐loop structure in its 3′UTR. European Journal of Immunology. 48(4). 593–604. 37 indexed citations
16.
Nyati, Kishan Kumar, Kazuya Masuda, Mohammad Mahabub-Uz Zaman, et al.. (2017). TLR4-induced NF-κB and MAPK signaling regulate the IL-6 mRNA stabilizing protein Arid5a. Nucleic Acids Research. 45(5). 2687–2703. 144 indexed citations
17.
Sakakibara, Shuhei, Takao Arimori, Kazuo Yamashita, et al.. (2017). Clonal evolution and antigen recognition of anti-nuclear antibodies in acute systemic lupus erythematosus. Scientific Reports. 7(1). 16428–16428. 23 indexed citations
18.
19.
Li, Songling & Dieter W. Heermann. (2012). Using Chimaeric Expression Sequence Tag as the Reference to Identify Three-Dimensional Chromosome Contacts. DNA Research. 20(1). 45–53. 2 indexed citations
20.
Li, Songling, et al.. (2011). A model for Escherichia coli chromosome packaging supports transcription factor-induced DNA domain formation. Nucleic Acids Research. 40(3). 972–980. 65 indexed citations

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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