Shulian Shang

1.5k citations
33 papers · 1.1k indexed · h-index 14
Topics
Multiple Sclerosis Research Studies (16 papers)Peripheral Neuropathies and Disorders (11 papers)MicroRNA in disease regulation (4 papers)

In The Last Decade

Shulian Shang

30 papers receiving 1.1k citations

Peers

Shulian Shang
Comparison fields: 5 of 90
  • Molecular Biology 649
  • Cancer Research 331
  • Pathology and Forensic Medicine 258
  • Oncology 170
  • Neurology 167
Replace Didier Surdez with:
Didier Surdez France
Eric D. Young United States
Emma Tham Sweden
Simone Hettmer Germany
Hilary Blair United States
Tiffany R. Hodges United States
Simone Treiger Sredni United States
Kaishi Satomi Japan
Magdalena J. Glogowska United States
Pankaj Pathak India
Shulian Shang relative to Didier Surdez France Didier Surdez's profile →
Citations per field
00.5×4.3×
Didier Surdez · 1×
Citations per year

Countries citing papers authored by Shulian Shang

Since Specialization
Citations

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

Fields of papers citing papers by Shulian Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shulian Shang

This figure shows the co-authorship network connecting the top 25 collaborators of Shulian Shang. A scholar is included among the top collaborators of Shulian Shang 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 Shulian Shang. Shulian Shang 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 11
2 1
3 8
4 0
5 0
6 0
7 5
8 14
9 98
10 65
11 1
12 29
13 7
14 103
15 9
16 164
17 292
18 58
19 3
20 90

About Shulian Shang

Shulian Shang is a scholar working on Pathology and Forensic Medicine, Neurology and Statistics and Probability, having authored 33 papers that have together received 1.1k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (16 papers), Peripheral Neuropathies and Disorders (11 papers) and MicroRNA in disease regulation (4 papers). The work is most often cited by research in Cancer Research (331 citations), Pathology and Forensic Medicine (258 citations) and Neurology (167 citations). Shulian Shang has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Yongzhao Shao, Iman Osman, Eva Hernando, Farbod Darvishian, Eleazar Vega‐Saenz de Miera, Lawrence A. Chasin, Miguel F. Segura, Jingyue Ju, James J. Russo and Irina Morozova. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

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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