Song Nie

2.9k citations
43 papers · 1.3k indexed · h-index 21
Topics
Advanced Proteomics Techniques and Applications (17 papers)Mass Spectrometry Techniques and Applications (12 papers)Glycosylation and Glycoproteins Research (5 papers)
Partner nations
United StatesChinaFrance

In The Last Decade

Song Nie

41 papers receiving 1.3k citations

Peers

Song Nie
Comparison fields: 5 of 113
  • Molecular Biology 929
  • Spectroscopy 518
  • Oncology 174
  • Cancer Research 131
  • Immunology 129
Replace Arjen Scholten with:
Arjen Scholten Netherlands
Leroi V. DeSouza Canada
DaRue A. Prieto United States
Matthew Fitzgibbon United States
Sergei A. Moshkovskii Russia
Guo Ci Teo United States
Dmitry M. Avtonomov United States
Andrew F. Jarnuczak United Kingdom
José Navarrete-Perea United States
Darryl B. Hardie Canada
Song Nie relative to Arjen Scholten Netherlands Arjen Scholten's profile →
Citations per field
00.5×
Arjen Scholten · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 3
2 9
3 4
4 9
5 2
6 10
7 32
8 6
9
黄河デルタの北海域における底質堆積物の粒度特性と堆積物輸送の分析【JST・京大機械翻訳】
1
10 14
11 30
12 39
13 55
14 56
15
Expression of Matrix Metalloproteinase-7 in Gastric Cancer
9
16
Identification of Interacting Molecules by Biomolecular Interaction Analysis Combined with Surface Plasmon Resonance-mass Spectrometry at 10 -15 mol Level
1
17 66
18
[Identification of protein spots in silver-stained two-dimensional gels based on chemically assisted fragmentation by MALDI-TOF-PSD mass spectrometry].
1
19 51
20
EFFECT OF TOTAL SAPONINS OF CODONOPSIS ON BLOOD LIPID AND NITRIC OXIDE LEVEL IN EXPERIMENTAL HYPERLIPEMIA RATS
1

About Song Nie

Song Nie is a scholar working on Spectroscopy, Molecular Biology and Cancer Research, having authored 43 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (17 papers), Mass Spectrometry Techniques and Applications (12 papers) and Glycosylation and Glycoproteins Research (5 papers). The work is most often cited by research in Spectroscopy (518 citations), Molecular Biology (929 citations) and Cancer Research (131 citations). Song Nie has collaborated with scholars based in United States, China and France. Frequent co-authors include David M. Lubman, Jianhui Zhu, Rong Zeng, Richard Smith, Tujin Shi, Weijun Qian, Tao Liu, Zhibin Ning, Jing Wu and Zhijing Tan. Their work appears in journals such as PLoS ONE, Molecular and Cellular Biology and Analytical Chemistry.

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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