Mingna Zhang

666 total citations · 1 hit paper
8 papers, 405 citations indexed

About

Mingna Zhang is a scholar working on Oncology, General Health Professions and Psychiatry and Mental health. According to data from OpenAlex, Mingna Zhang has authored 8 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Oncology, 2 papers in General Health Professions and 2 papers in Psychiatry and Mental health. Recurrent topics in Mingna Zhang's work include Power Systems Fault Detection (1 paper), Religion, Spirituality, and Psychology (1 paper) and Synthesis of heterocyclic compounds (1 paper). Mingna Zhang is often cited by papers focused on Power Systems Fault Detection (1 paper), Religion, Spirituality, and Psychology (1 paper) and Synthesis of heterocyclic compounds (1 paper). Mingna Zhang collaborates with scholars based in China, Australia and Netherlands. Mingna Zhang's co-authors include Chunyan Dong, Wanlu Cao, Zhounan Zhu, Jingxian Yang, Ting Fan, Na Li, Si Chen, Yanhua Liu, Lina Wang and Zongjin Li and has published in prestigious journals such as International Journal of Environmental Research and Public Health, Signal Transduction and Targeted Therapy and Journal of Cellular Biochemistry.

In The Last Decade

Mingna Zhang

7 papers receiving 401 citations

Hit Papers

Therapeutic cancer vaccines: advancements, challenges and... 2023 2026 2024 2025 2023 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mingna Zhang China 5 197 196 166 57 56 8 405
Nadja Salomon Germany 7 340 1.7× 271 1.4× 182 1.1× 43 0.8× 54 1.0× 9 513
Ramiro A. Ramirez-Valdez United Kingdom 6 186 0.9× 293 1.5× 163 1.0× 22 0.4× 63 1.1× 7 397
Caleb R. Perez United States 5 226 1.1× 350 1.8× 257 1.5× 35 0.6× 119 2.1× 7 512
Cornelia Wurzenberger Germany 9 150 0.8× 305 1.6× 126 0.8× 19 0.3× 38 0.7× 11 429
Raymond J. Moniz United States 9 167 0.8× 127 0.6× 72 0.4× 27 0.5× 37 0.7× 16 354
Matthew P. Mulè United States 10 196 1.0× 259 1.3× 105 0.6× 39 0.7× 34 0.6× 14 521
Ensieh Farahani Denmark 5 235 1.2× 146 0.7× 89 0.5× 62 1.1× 26 0.5× 6 370
Neeraja Dharmaraj United States 14 258 1.3× 314 1.6× 137 0.8× 39 0.7× 97 1.7× 20 604
Fumi Sato-Kaneko United States 10 128 0.6× 267 1.4× 127 0.8× 54 0.9× 45 0.8× 17 387
Mariana Pereira Pinho Brazil 10 171 0.9× 341 1.7× 169 1.0× 22 0.4× 24 0.4× 16 530

Countries citing papers authored by Mingna Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Mingna Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingna Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Mingna Zhang. A scholar is included among the top collaborators of Mingna Zhang 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 Mingna Zhang. Mingna Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
2.
Fan, Ting, Mingna Zhang, Jingxian Yang, et al.. (2023). Therapeutic cancer vaccines: advancements, challenges and prospects. Signal Transduction and Targeted Therapy. 8(1). 450–450. 278 indexed citations breakdown →
3.
Zhang, Mingna, Yiqiao Fang, Jiaye Liu, et al.. (2023). Cancer‐associated fibroblasts nurture LGR5 marked liver tumor‐initiating cells and promote their tumor formation, growth, and metastasis. Cancer Medicine. 12(17). 18032–18049. 8 indexed citations
4.
Creedy, Debra, Mingna Zhang, Hong Lu, et al.. (2022). Designing a Needs-Oriented Psychological Intervention for Chinese Women Undergoing an Abortion. International Journal of Environmental Research and Public Health. 20(1). 782–782. 11 indexed citations
5.
Xiao, Qian, et al.. (2022). Career Development and Occupational Disease in Chinese Nurses: A Cross-Sectional Study. INQUIRY The Journal of Health Care Organization Provision and Financing. 59. 2856686547–2856686547. 15 indexed citations
6.
Li, Jingwei, et al.. (2016). Crystal structure of 2-amino-5-oxo-4-(3,4,5-trimethoxy-phenyl)-4,5,6,7-tetrahydro-cyclopenta[b]pyran-3-carbonitrile, C18H18N2O5. Zeitschrift für Kristallographie - New Crystal Structures. 232(1). 47–48.
7.
Liu, Cheng, Guowei Cai, Deyou Yang, Zhenglong Sun, & Mingna Zhang. (2016). The Online Identification of Dominated Inter-area Oscillations Interface Based on the Incremental Energy Function in Power System. 10(1). 88–100. 1 indexed citations
8.
Wang, Lina, Si Chen, Mingna Zhang, et al.. (2012). Legumain: A biomarker for diagnosis and prognosis of human ovarian cancer. Journal of Cellular Biochemistry. 113(8). 2679–2686. 91 indexed citations

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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