Min Yang

2.9k citations
111 papers · 2.1k · h-index 25

Impact in

Papers in

    • Gut microbiota and health 4
    • Ubiquitin and proteasome pathways 3
    • Multiple Myeloma Research and Treatments 9
    • Iron Metabolism and Disorders 5

Min Yang

109 papers receiving 2.0k citations

Peers

Min Yang
Comparison fields: 5 of 154
  • Rehabilitation 107
  • Physiology 251
  • Molecular Biology 623
  • Automotive Engineering 108
  • Cancer Research 112
Replace Dayanjan S. Wijesinghe with:
Dayanjan S. Wijesinghe United States
Eleonora Salvolini Italy
Xuewen Xu China
Maria Greabu Romania
Alexandra Totan Romania
Amit Sharma India
Yi Cao China
Tae Ho Kim South Korea
Cristiana Tănase Romania
Min Yang relative to Dayanjan S. Wijesinghe United States Dayanjan S. Wijesinghe's profile →
Citations per field
00.5×1.5×2.4×
Dayanjan S. Wijesinghe · 1×
Citations per year

Countries citing papers authored by Min Yang

Since Specialization
Citations

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

Fields of papers citing papers by Min Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 111 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021202
2 2015156
3 2017133
4 2009125
5 202196
6 202057
7 200752
8 202048
9 201345
10 200844
11 201843
12 201436
13 201535
14 201335
15 201433
16 202233
17 201829
18 201929
19 202128
20 202227

About Min Yang

Min Yang is a scholar working on Molecular Biology, Hematology, Oncology, Physiology and Public Health, Environmental and Occupational Health, having authored 111 papers that have together received 2.1k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (9 papers), Diet and metabolism studies (8 papers), Iron Metabolism and Disorders (5 papers), Gut microbiota and health (4 papers), Obesity, Physical Activity, Diet (4 papers), Chronic Lymphocytic Leukemia Research (4 papers), Ubiquitin and proteasome pathways (3 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Rehabilitation (107 citations), Physiology (251 citations), Molecular Biology (623 citations), Automotive Engineering (108 citations) and Cancer Research (112 citations). Min Yang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Jie Jin, Shankuan Zhu, Chunmao Han, Xingang Wang, Tingting Weng, Ronghua Jin, Huaping Du, Jiakun Shen, Sizhan Xia and Yun‐Gui Wang. Their work appears in journals such as Nutrients, Obesity, PLoS ONE, European Journal of Clinical Nutrition and Frontiers of Medicine.

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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