Mingcheng Wang

3.8k total citations · 1 hit paper
93 papers, 2.5k citations indexed

About

Mingcheng Wang is a scholar working on Molecular Biology, Ecology and Plant Science. According to data from OpenAlex, Mingcheng Wang has authored 93 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 13 papers in Ecology and 12 papers in Plant Science. Recurrent topics in Mingcheng Wang's work include Genomics and Phylogenetic Studies (18 papers), Species Distribution and Climate Change (10 papers) and Dialysis and Renal Disease Management (8 papers). Mingcheng Wang is often cited by papers focused on Genomics and Phylogenetic Studies (18 papers), Species Distribution and Climate Change (10 papers) and Dialysis and Renal Disease Management (8 papers). Mingcheng Wang collaborates with scholars based in China, Taiwan and United States. Mingcheng Wang's co-authors include Jianchu Xu, Robert J. Zomer, Jeng‐Jong Huang, Wei‐Chuan Tsai, Antonio Trabucco, Ju‐Yi Chen, Antje Ahrends, Déborah Bossio, Meine van Noordwijk and Henry Neufeldt and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Clinical Infectious Diseases.

In The Last Decade

Mingcheng Wang

90 papers receiving 2.4k citations

Hit Papers

Global Tree Cover and Biomass Carbon on Agricultural Land... 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingcheng Wang China 24 544 476 420 369 359 93 2.5k
Karl Reiter Germany 26 254 0.5× 235 0.5× 399 0.9× 448 1.2× 270 0.8× 76 2.3k
Huiying Liu China 33 664 1.2× 604 1.3× 776 1.8× 690 1.9× 951 2.6× 100 3.6k
Lanhui Li China 26 752 1.4× 205 0.4× 389 0.9× 138 0.4× 578 1.6× 105 2.3k
John D. Alexander United States 23 842 1.5× 567 1.2× 70 0.2× 444 1.2× 554 1.5× 62 1.9k
Ruiyang Zhang China 26 287 0.5× 376 0.8× 544 1.3× 382 1.0× 546 1.5× 80 2.3k
Ameur M. Manceur United States 17 299 0.5× 207 0.4× 65 0.2× 267 0.7× 213 0.6× 55 1.2k
David J. Burke United States 30 156 0.3× 1.3k 2.7× 830 2.0× 351 1.0× 643 1.8× 87 3.7k
Luming Ding China 28 111 0.2× 298 0.6× 563 1.3× 246 0.7× 463 1.3× 87 2.5k
Michael E. Hanley United Kingdom 22 96 0.2× 749 1.6× 150 0.4× 527 1.4× 362 1.0× 34 1.9k
Rong Tang China 40 95 0.2× 348 0.7× 1.3k 3.0× 185 0.5× 552 1.5× 235 5.1k

Countries citing papers authored by Mingcheng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Mingcheng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingcheng Wang

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

All Works

20 of 20 papers shown
1.
Li, Yongdong, Xinya Li, Tong Li, et al.. (2025). Identification of key chromium resistance genes in Cellulomonas using transcriptomics. Ecotoxicology and Environmental Safety. 291. 117843–117843. 2 indexed citations
2.
Zhong, Jie, et al.. (2024). Innovative integration of the “W + Flipped Classroom” and “B + BOPPPS” teaching models for enhanced learning outcomes. BMC Medical Education. 24(1). 1050–1050. 3 indexed citations
4.
Lee, Han, Kuan‐Hung Liu, Jiunn‐Der Liao, et al.. (2024). Advances in uremic toxin detection and monitoring in the management of chronic kidney disease progression to end-stage renal disease. The Analyst. 149(10). 2784–2795. 1 indexed citations
7.
Kao, Cheng‐Yen, Jenn‐Wei Chen, Liang‐Chuan Lai, et al.. (2022). Uremic Toxin-Producing Bacteroides Species Prevail in the Gut Microbiota of Taiwanese CKD Patients: An Analysis Using the New Taiwan Microbiome Baseline. Frontiers in Cellular and Infection Microbiology. 12. 726256–726256. 28 indexed citations
8.
Ou, Huang‐Tz, et al.. (2022). Association of retinopathy severity with cardiovascular and renal outcomes in patients with type 1 diabetes: a multi-state modeling analysis. Scientific Reports. 12(1). 4177–4177. 4 indexed citations
9.
Hashimoto, Masayuki, Bin-Hsu Mao, Chien‐Shun Chiou, et al.. (2021). Association between Escherichia coli with NotI-restriction resistance and urinary tract infections. Journal of Microbiology Immunology and Infection. 55(4). 686–694. 1 indexed citations
10.
Wang, Zhiqiang, Mingcheng Wang, Kailiang Yu, et al.. (2021). Global synthesis for the scaling of soil microbial nitrogen to phosphorus in terrestrial ecosystems. Environmental Research Letters. 16(4). 44034–44034. 15 indexed citations
11.
Wang, Mingcheng, Lei Zhang, Zhiyang Zhang, et al.. (2019). Phylogenomics of the genusPopulusreveals extensive interspecific gene flow and balancing selection. New Phytologist. 225(3). 1370–1382. 81 indexed citations
12.
Kang, Minghui, Mingcheng Wang, Zhiyang Zhang, et al.. (2019). A chromosome-level genome assembly of the Chinese tupelo Nyssa sinensis. Scientific Data. 6(1). 282–282. 10 indexed citations
13.
Zhai, Deli, Jinwei Dong, Georg Cadisch, et al.. (2017). Comparison of Pixel- and Object-Based Approaches in Phenology-Based Rubber Plantation Mapping in Fragmented Landscapes. Remote Sensing. 10(1). 44–44. 40 indexed citations
14.
Balmford, Andrew, Huafang Chen, Ben Phalan, et al.. (2016). Getting Road Expansion on the Right Track: A Framework for Smart Infrastructure Planning in the Mekong. PLoS Biology. 14(12). e2000266–e2000266. 17 indexed citations
15.
Roy, Arijit, et al.. (2016). Kamala tree as an indicator of the presence of Asian elephants during the dry season in the Shivalik landscape of northwestern India. Ecological Indicators. 71. 239–247. 5 indexed citations
16.
Liang, Chunnian, Lizhong Wang, Xiaoyun Wu, et al.. (2016). Genome-wide Association Study Identifies Loci for the Polled Phenotype in Yak. PLoS ONE. 11(7). e0158642–e0158642. 17 indexed citations
17.
Lin, Wei‐Hung, et al.. (2015). Association Between Vascular Access Dysfunction and Subsequent Major Adverse Cardiovascular Events in Patients on Hemodialysis. Medicine. 94(26). e1032–e1032. 17 indexed citations
18.
Tseng, Chin‐Chung, et al.. (2011). Effect of Oral L-Carnitine Supplementation on the Nutritional Status and Muscle Strength of Patients with Chronic Peritoneal Dialysis. 36(1). 19–26. 2 indexed citations
19.
Liu, Chin‐Wei, et al.. (2003). Relationship Between Carpal Tunnel Syndrome and Wrist Angle in Computer Workers. The Kaohsiung Journal of Medical Sciences. 19(12). 617–622. 36 indexed citations
20.
Wang, Mingcheng, et al.. (2000). Effect of high-dose folic acid on hemodialysis patients with poor erythropoietin response. Dialysis & Transplantation. 29(11). 710–717. 3 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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