Minli Wang

13 papers receiving 409 citations

Peers

Minli Wang
Comparison fields: 5 of 71
  • Developmental Neuroscience 56
  • Pulmonary and Respiratory Medicine 184
  • Radiology, Nuclear Medicine and Imaging 126
  • Physiology 130
  • Cancer Research 57
Replace Al Anoud D. Baddour with:
Al Anoud D. Baddour United States
Mary L. Lan United States
Young Hoon Ji South Korea
Lauren A. Apodaca United States
Leila Alikhani United States
Mieke Neefs Belgium
Gregory Azzam United States
William E. Grever United States
Terry W. Hood United States
Sergio Moreno‐Jiménez Mexico
Minli Wang relative to Al Anoud D. Baddour United States Al Anoud D. Baddour's profile →
Citations per field
00.5×8.3×
Al Anoud D. Baddour · 1×
Citations per year

Countries citing papers authored by Minli Wang

Since Specialization
Citations

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

Fields of papers citing papers by Minli Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2014194
2 201251
3 201433
4 201332
5 201430
6 201219
7 202115
8
Evidence Report: Risk of Cardiovascular Disease and Other Degenerative Tissue Effects from Radiation Exposure
201513
9 20138
10 20178
11 20137
12 20125
13 20242

About Minli Wang

Minli Wang is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Cancer Research, Pulmonary and Respiratory Medicine and Oncology, having authored 13 papers that have together received 417 indexed citations. Recurring topics across this work include Effects of Radiation Exposure (5 papers), DNA Repair Mechanisms (4 papers), Radiation Therapy and Dosimetry (4 papers), Carcinogens and Genotoxicity Assessment (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Radiation Dose and Imaging (2 papers), TGF-β signaling in diseases (2 papers) and Microstructure and Mechanical Properties of Steels (1 paper). The work is most often cited by research in Developmental Neuroscience (56 citations), Pulmonary and Respiratory Medicine (184 citations), Radiology, Nuclear Medicine and Imaging (126 citations), Physiology (130 citations) and Cancer Research (57 citations). Minli Wang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Francis A. Cucinotta, Murat Alp, Frank M. Sulzman, Janapriya Saha, Megumi Hada, Janice M. Pluth, Lori J. Chappell, Jennifer A. Anderson, K. George and Peter O’Neill. Their work appears in journals such as Radiation Research, Mathematical Biosciences, BMC Women s Health, Life Sciences in Space Research and Mutation Research/Genetic Toxicology and Environmental Mutagenesis.

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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