Jianglan Long

407 citations
19 papers · 252 · h-index 7

Impact in

Papers in

    • Metabolomics and Mass Spectrometry Studies 5
    • Gut microbiota and health 3
    • Metabolism, Diabetes, and Cancer 2
    • Diet and metabolism studies 5
    • Adipose Tissue and Metabolism 2

Jianglan Long

19 papers receiving 248 citations

Peers

Jianglan Long
Comparison fields: 5 of 76
  • Pollution 80
  • Industrial and Manufacturing Engineering 28
  • Physiology 53
  • Health, Toxicology and Mutagenesis 27
  • Biomaterials 21
Replace Kaixuan Zheng with:
Kaixuan Zheng China
Yiying Bian South Korea
Dongliu Luo China
Ruijiao Zhu China
Mahmoud Etebari Iran
Marek Grosicki Poland
Zhiyan Ruan China
Waseem Ali China
Kai Xiao China
Jianglan Long relative to Kaixuan Zheng China Kaixuan Zheng's profile →
Citations per field
00.5×3.0×
Kaixuan Zheng · 1×
Citations per year

Countries citing papers authored by Jianglan Long

Since Specialization
Citations

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

Fields of papers citing papers by Jianglan Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jianglan Long, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jianglan Long Line = papers co-authored together Jianglan Long links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 202293
2 202072
3 202115
4 202015
5 20249
6 20218
7 20247
8 20206
9 20225
10 20215
11 20223
12 20253
13 20243
14 20212
15 20212
16 20241
17 20241
18 20241
19 20241

About Jianglan Long

Jianglan Long is a scholar working on Molecular Biology, Physiology, Computational Theory and Mathematics, Pharmacology and Complementary and alternative medicine, having authored 19 papers that have together received 252 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (5 papers), Diet and metabolism studies (5 papers), Computational Drug Discovery Methods (3 papers), Gut microbiota and health (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Adipose Tissue and Metabolism (2 papers), Traditional Chinese Medicine Studies (2 papers) and Head and Neck Cancer Studies (2 papers). The work is most often cited by research in Pollution (80 citations), Industrial and Manufacturing Engineering (28 citations), Physiology (53 citations), Health, Toxicology and Mutagenesis (27 citations) and Biomaterials (21 citations). Jianglan Long has collaborated with scholars based in China and United States. Frequent co-authors include Zhirui Yang, Cheng Peng, Dan Yan, Can Yan, Dan Yan, Yumei Han, Aiting Wang, Xinyu Yang, Bowen Wu and Ying Zhang. Their work appears in journals such as Rapid Communications in Mass Spectrometry, The Science of The Total Environment, Microchemical Journal, Gut Microbes and International Journal of Biological Macromolecules.

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