Minglan Yang

2.3k citations
21 papers · 433 · h-index 11

Impact in

Papers in

    • Gut microbiota and health 3
    • Peroxisome Proliferator-Activated Receptors 1
    • Diabetes and associated disorders 4

Minglan Yang

21 papers receiving 428 citations

Peers

Minglan Yang
Comparison fields: 5 of 70
  • Health, Toxicology and Mutagenesis 69
  • Endocrinology, Diabetes and Metabolism 60
  • Cancer Research 49
  • Genetics 82
  • Genetics 29
Replace Rui Feng with:
Rui Feng China
Paula Paccielli Freire Brazil
Joaquina Silva Portugal
Agostina Gorga Argentina
Cătălina Gabriela Pisoschi Romania
Korinna Wend United States
Li Yan China
Eirini Konstantinidou United States
Svetlana Ivanović‐Matić Serbia
Minglan Yang relative to Rui Feng China Rui Feng's profile →
Citations per field
00.5×5.2×
Rui Feng · 1×
Citations per year

Countries citing papers authored by Minglan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Minglan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Minglan Yang, 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 Minglan Yang Line = papers co-authored together Minglan Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201496
2 201676
3 201747
4 202038
5 201435
6 201229
7 202115
8 202213
9 201713
10 202211
11 202110
12 20239
13 20219
14 20229
15 20236
16 20216
17 20225
18 20242
19 20232
20 20221

About Minglan Yang

Minglan Yang is a scholar working on Molecular Biology, Genetics, Physiology, Surgery and Pharmacology, having authored 21 papers that have together received 433 indexed citations. Recurring topics across this work include Diabetes and associated disorders (4 papers), Adipose Tissue and Metabolism (4 papers), Gut microbiota and health (3 papers), Diabetes Treatment and Management (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Pancreatic function and diabetes (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper) and Antioxidant Activity and Oxidative Stress (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (69 citations), Endocrinology, Diabetes and Metabolism (60 citations), Cancer Research (49 citations), Genetics (82 citations) and Genetics (29 citations). Minglan Yang has collaborated with scholars based in China, Saudi Arabia and United States. Frequent co-authors include Ruixin Liu, Jie Hong, Guang Ning, Lei Ye, Weiqiong Gu, Guang Ning, Bokai Wang, Weiqing Wang, Jie Gao and Weiqing Wang. Their work appears in journals such as Stem Cell Research & Therapy, iScience, Medicine, Diabetes Obesity and Metabolism and Journal of 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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