Song Nie

2.9k total papers · 2.8k total citations
43 papers, 1.3k citations indexed

About

Song Nie is a scholar working on Molecular Biology, Spectroscopy and Oncology. According to data from OpenAlex, Song Nie has authored 43 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 18 papers in Spectroscopy and 6 papers in Oncology. Recurrent topics in Song Nie's work include Advanced Proteomics Techniques and Applications (17 papers), Mass Spectrometry Techniques and Applications (12 papers) and Glycosylation and Glycoproteins Research (5 papers). Song Nie is often cited by papers focused on Advanced Proteomics Techniques and Applications (17 papers), Mass Spectrometry Techniques and Applications (12 papers) and Glycosylation and Glycoproteins Research (5 papers). Song Nie collaborates with scholars based in United States, China and France. Song Nie's co-authors include David M. Lubman, Jianhui Zhu, Rong Zeng, Tujin Shi, Richard Smith, Weijun Qian, Zhijing Tan, Zhibin Ning, Tao Liu and Jing Wu and has published in prestigious journals such as PLoS ONE, Molecular and Cellular Biology and Analytical Chemistry.

In The Last Decade

Song Nie

41 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Song Nie 923 514 173 131 129 43 1.3k
Sergei A. Moshkovskii 970 1.1× 424 0.8× 139 0.8× 123 0.9× 140 1.1× 91 1.4k
Günther Ernst 954 1.0× 607 1.2× 201 1.2× 186 1.4× 112 0.9× 51 1.7k
Karsten Schnatbaum 1.0k 1.1× 581 1.1× 131 0.8× 83 0.6× 211 1.6× 23 1.5k
Fengchao Yu 1.3k 1.4× 815 1.6× 202 1.2× 76 0.6× 146 1.1× 51 1.7k
Ejvind Mørtz 993 1.1× 537 1.0× 101 0.6× 129 1.0× 173 1.3× 27 1.7k
Xiaojun Li 1.3k 1.4× 653 1.3× 110 0.6× 105 0.8× 99 0.8× 36 1.7k
Erwin M. Schoof 1.2k 1.3× 360 0.7× 157 0.9× 181 1.4× 132 1.0× 63 1.6k
Meena Choi 806 0.9× 477 0.9× 106 0.6× 95 0.7× 83 0.6× 24 1.2k
Matthew J. McKay 604 0.7× 291 0.6× 108 0.6× 82 0.6× 79 0.6× 54 1.2k
Melanie Y. White 785 0.9× 315 0.6× 95 0.5× 85 0.6× 103 0.8× 39 1.2k

Countries citing papers authored by Song Nie

Since Specialization
Citations

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

Fields of papers citing papers by Song Nie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song Nie

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026