Shanshan Ji

512 citations
21 papers · 319 indexed · h-index 10
Topics
Metabolomics and Mass Spectrometry Studies (7 papers)Sphingolipid Metabolism and Signaling (4 papers)Lipid Membrane Structure and Behavior (3 papers)
Journals
SHILAP Revista de lepidopterologíaAnalytical ChemistryDiabetes

In The Last Decade

Shanshan Ji

19 papers receiving 315 citations

Peers

Shanshan Ji
Comparison fields: 5 of 76
  • Molecular Biology 199
  • Physiology 63
  • Public Health, Environmental and Occupational Health 47
  • Epidemiology 37
  • Spectroscopy 31
Replace J M Duerden with:
J M Duerden United Kingdom
Pierre‐Jacques Brun United States
Paula Urquhart United Kingdom
Chi-Jen Lo Taiwan
Juan Zhao China
Yongxiang Gao China
Yumi Ogawa Japan
Opeyemi Stella Ademowo United Kingdom
Melinda J. Palma United States
Moyan Liu China
Shanshan Ji relative to J M Duerden United Kingdom J M Duerden's profile →
Citations per field
00.5×5.7×
J M Duerden · 1×
Citations per year

Countries citing papers authored by Shanshan Ji

Since Specialization
Citations

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

Fields of papers citing papers by Shanshan Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shanshan Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Shanshan Ji. A scholar is included among the top collaborators of Shanshan Ji 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 Shanshan Ji. Shanshan Ji 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 0
2 0
3 2
4 25
5
Effects of Multi-Dimensional Nursing Based on HAPA Theory on Self-Care Ability and Cardiac Function in Patients with Coronary Heart Failure and Heart Failure.
1
6 2
7 11
8 6
9 2
10 24
11 6
12 27
13 6
14 20
15 10
16 109
17 1
18 39
19 18
20 9

About Shanshan Ji

Shanshan Ji is a scholar working on Ophthalmology, Molecular Biology and Biochemistry, having authored 21 papers that have together received 319 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (7 papers), Sphingolipid Metabolism and Signaling (4 papers) and Lipid Membrane Structure and Behavior (3 papers). The work is most often cited by research in Biochemistry (27 citations), Molecular Biology (199 citations) and Ophthalmology (25 citations). Shanshan Ji has collaborated with scholars based in Singapore, United States and China. Frequent co-authors include Markus R. Wenk, Federico Torta, Husna Begum, Bo Burla, Rob M. van Dam, Amaury Cazenave‐Gassiot, Wee Siong Chew, Xueling Sim, Chin Meng Khoo and Eric Yin Hao Khoo. Their work appears in journals such as SHILAP Revista de lepidopterología, Analytical Chemistry and Diabetes.

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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