Hang Ma

5.4k total citations
190 papers, 4.3k citations indexed

About

Hang Ma is a scholar working on Molecular Biology, Pharmacology and Organic Chemistry. According to data from OpenAlex, Hang Ma has authored 190 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Molecular Biology, 41 papers in Pharmacology and 27 papers in Organic Chemistry. Recurrent topics in Hang Ma's work include Phytochemicals and Antioxidant Activities (24 papers), Plant-Derived Bioactive Compounds (19 papers) and Natural Antidiabetic Agents Studies (17 papers). Hang Ma is often cited by papers focused on Phytochemicals and Antioxidant Activities (24 papers), Plant-Derived Bioactive Compounds (19 papers) and Natural Antidiabetic Agents Studies (17 papers). Hang Ma collaborates with scholars based in China, United States and Azerbaijan. Hang Ma's co-authors include Navindra P. Seeram, Xiaoli Ye, Xuegang Li, Tao Yuan, Nicholas A. DaSilva, Joel A. Dain, Chang Liu, Liya Li, Shelby L. Johnson and Weixi Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACS Nano and Journal of Agricultural and Food Chemistry.

In The Last Decade

Hang Ma

181 papers receiving 4.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hang Ma China 36 1.5k 737 705 622 580 190 4.3k
Lijun Du China 37 1.8k 1.2× 1.2k 1.6× 875 1.2× 434 0.7× 581 1.0× 168 4.9k
Hyung Won Ryu South Korea 38 1.9k 1.3× 704 1.0× 1.1k 1.6× 591 1.0× 338 0.6× 182 4.6k
Shanmugam Manoharan India 32 1.4k 0.9× 431 0.6× 576 0.8× 528 0.8× 262 0.5× 125 3.6k
Kasi Pandima Devi India 40 2.1k 1.4× 755 1.0× 1.0k 1.4× 653 1.0× 379 0.7× 118 5.9k
Eun Ju Cho South Korea 36 1.6k 1.0× 437 0.6× 989 1.4× 772 1.2× 390 0.7× 240 4.6k
Deeba N. Syed United States 42 2.1k 1.3× 987 1.3× 999 1.4× 1.0k 1.6× 943 1.6× 72 5.2k
Nam Deuk Kim South Korea 43 2.9k 1.9× 820 1.1× 735 1.0× 480 0.8× 523 0.9× 162 6.2k
Seyed Mohammad Nabavi Iran 26 1.3k 0.9× 467 0.6× 471 0.7× 547 0.9× 242 0.4× 31 3.6k
Marisa Freitas Portugal 36 1.1k 0.7× 541 0.7× 680 1.0× 920 1.5× 369 0.6× 119 4.1k
Chong‐Kil Lee South Korea 42 2.4k 1.5× 985 1.3× 1.1k 1.5× 367 0.6× 419 0.7× 168 5.9k

Countries citing papers authored by Hang Ma

Since Specialization
Citations

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

Fields of papers citing papers by Hang Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hang Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Hang Ma. A scholar is included among the top collaborators of Hang Ma 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 Hang Ma. Hang Ma 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, Huifang, Yang Zhao, Xiaoxuan Jin, et al.. (2025). Anti-inflammatory and antioxidant properties of oleuropein in human keratinocytes characterized by bottom-up proteomics. Frontiers in Pharmacology. 15. 1496078–1496078. 2 indexed citations
2.
Wang, Weitian, Jun Li, Lei Ding, et al.. (2024). 3D multiphysics modeling for probing the non-homogenous parameter distribution in proton exchange membrane electrolyzer cells. Energy Conversion and Management. 324. 119222–119222. 2 indexed citations
3.
Tang, Wanyu, Jingwei Li, Yuan Zhou, et al.. (2024). Palmatine attenuates MYH9 mediated nuclear localization of AURKA to induce G2/M phase arrest in colorectal cancer cells. International Immunopharmacology. 143(Pt 3). 113615–113615. 1 indexed citations
4.
Leng, Jie, et al.. (2024). Physical “lying flat”: The negative effect of personal relative deprivation on health-promoting lifestyles. Journal of Affective Disorders. 349. 414–419. 4 indexed citations
5.
Chen, Xiantao, Hongmei Wang, Wanyu Tang, et al.. (2024). Cyberpharmacology uncover the mechanism of the total Rhizoma Coptidis extracts ameliorate chronic atrophic gastritis. Journal of Ethnopharmacology. 335. 118644–118644. 10 indexed citations
6.
Ma, Hang, et al.. (2024). Genetically predicted metabolites mediate the association between lipidome and malignant melanoma of skin. Frontiers in Oncology. 14. 1430533–1430533.
7.
Ma, Hang, et al.. (2024). The influence of model position, attractiveness, and consumer body image on consumer attitudes in fashion advertising. Current Psychology. 43(48). 37070–37085. 1 indexed citations
8.
Wang, Hongmei, Minmin Xu, Xiantao Chen, et al.. (2024). Coptisine-mediated downregulation of E2F7 induces G2/M phase arrest in hepatocellular carcinoma cells through inhibition of E2F4/NFYA/NFYB transcription factors. Chemico-Biological Interactions. 397. 111063–111063. 3 indexed citations
9.
Leng, Jie, Hang Ma, Xiaojun Lv, & PingAn Hu. (2023). Validation of the Chinese Cultural Tightness–Looseness Scale and General Tightness–Looseness Scale. Frontiers in Psychology. 14. 1131868–1131868.
10.
Liu, Chang, et al.. (2023). Investigating cannabinoids as P2X purinoreceptor 4 ligands by using surface plasmon resonance and computational docking. Heliyon. 9(11). e21265–e21265. 1 indexed citations
11.
Ma, Hang, et al.. (2023). Chromosomal Copy Number Variation Predicts EGFR-TKI Response and Prognosis for Patients with Non-Small Cell Lung Cancer. Pharmacogenomics and Personalized Medicine. Volume 16. 835–846. 3 indexed citations
12.
Timms, E., Huifang Li, Michael A. Parra, et al.. (2023). Synthesis, anti-ferroptosis, anti-quorum sensing, antibacterial and DNA interaction studies of chromene-hydrazone derivatives. Bioorganic & Medicinal Chemistry. 90. 117369–117369. 4 indexed citations
13.
Tang, Qin, Xiang Tang, Yan Liu, et al.. (2023). Coptisine inhibits Helicobacter pylori and reduces the expression of CagA to alleviate host inflammation in vitro and in vivo. Journal of Ethnopharmacology. 314. 116618–116618. 21 indexed citations
14.
Wu, Huimin, Xinrui Xie, Qin Tang, et al.. (2023). Epiberberine inhibits Helicobacter pylori and reduces host apoptosis and inflammatory damage by down-regulating urease expression. Journal of Ethnopharmacology. 318(Pt B). 117046–117046. 20 indexed citations
15.
16.
Chen, Min, Hang Ma, Xi Zheng, et al.. (2019). Downregulating NF-κB signaling pathway with triterpenoids for attenuating inflammation:in vitroandin vivostudies. Food & Function. 10(8). 5080–5090. 27 indexed citations
17.
18.
Xiao, Yubo, Tian Cheng, Tao Huang, et al.. (2017). 8-Cetylberberine inhibits growth of lung cancer in vitro and in vivo. Life Sciences. 192. 259–269. 21 indexed citations
19.
Kim, Bohkyung, Minkyung Bae, Young‐Ki Park, et al.. (2017). Blackcurrant anthocyanins stimulated cholesterol transport via post-transcriptional induction of LDL receptor in Caco-2 cells. European Journal of Nutrition. 57(1). 405–415. 17 indexed citations
20.

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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