Yihong Ma

2.6k total citations
45 papers, 2.0k citations indexed

About

Yihong Ma is a scholar working on Molecular Biology, Oncology and Parasitology. According to data from OpenAlex, Yihong Ma has authored 45 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 16 papers in Oncology and 8 papers in Parasitology. Recurrent topics in Yihong Ma's work include Cancer-related Molecular Pathways (13 papers), Vector-borne infectious diseases (8 papers) and RNA modifications and cancer (5 papers). Yihong Ma is often cited by papers focused on Cancer-related Molecular Pathways (13 papers), Vector-borne infectious diseases (8 papers) and RNA modifications and cancer (5 papers). Yihong Ma collaborates with scholars based in United States, Japan and China. Yihong Ma's co-authors include W. Douglas Cress, Eric B. Haura, Rhonda Croxton, Richard Jove, Chuangui Wang, Jiandong Chen, Xinghua Hou, Guilian Niu, Hua Yu and Wei Gu and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Nature Cell Biology.

In The Last Decade

Yihong Ma

43 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yihong Ma United States 22 1.1k 771 366 275 229 45 2.0k
Amber Giles United States 16 673 0.6× 817 1.1× 246 0.7× 178 0.6× 295 1.3× 26 2.1k
Qingchang Li China 27 1.3k 1.2× 575 0.7× 435 1.2× 83 0.3× 151 0.7× 110 2.2k
Fu Ou‐Yang Taiwan 20 1.3k 1.1× 531 0.7× 401 1.1× 59 0.2× 114 0.5× 45 2.0k
Lu Sun China 31 1.4k 1.2× 545 0.7× 490 1.3× 65 0.2× 212 0.9× 127 2.9k
Bo Kong Germany 25 1.0k 0.9× 899 1.2× 740 2.0× 61 0.2× 219 1.0× 64 2.0k
Chia-Chen Chen Taiwan 11 1.3k 1.1× 244 0.3× 300 0.8× 67 0.2× 198 0.9× 19 1.9k
Ju-Ming Wang Taiwan 28 1.3k 1.1× 414 0.5× 499 1.4× 51 0.2× 170 0.7× 44 2.1k
Wei Liang China 24 664 0.6× 293 0.4× 136 0.4× 92 0.3× 158 0.7× 51 1.5k

Countries citing papers authored by Yihong Ma

Since Specialization
Citations

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

Fields of papers citing papers by Yihong Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yihong Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Yihong Ma. A scholar is included among the top collaborators of Yihong 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 Yihong Ma. Yihong 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.
Galon, Eloiza May, Imran Zafar, Yihong Ma, et al.. (2024). Molecular detection of tick-borne piroplasmids in camel blood samples collected from Cairo and Giza governorates, Egypt. Acta Tropica. 256. 107252–107252. 2 indexed citations
2.
Ma, Yihong, Yingna Jian, Geping Wang, et al.. (2024). Epidemiological Investigation of Tick-Borne Bacterial Pathogens in Domestic Animals from the Qinghai–Tibetan Plateau Area, China. Pathogens. 13(1). 86–86. 2 indexed citations
3.
Ma, Yihong, Yingna Jian, Geping Wang, et al.. (2024). Molecular Identification of Babesia and Theileria Infections in Livestock in the Qinghai–Tibetan Plateau Area, China. Animals. 14(3). 476–476. 1 indexed citations
4.
Li, Hang, Eloiza May Galon, Shengwei Ji, et al.. (2023). In vitro screening of compounds from the Food and Drug Administration-approved library identifies anti-Babesia gibsoni activity of idarubicin hydrochloride and vorinostat. Parasitology International. 96. 102774–102774. 5 indexed citations
5.
Li, Hang, Shengwei Ji, Eloiza May Galon, et al.. (2023). Identification of three members of the multidomain adhesion CCp family in Babesia gibsoni. Acta Tropica. 241. 106890–106890.
6.
Chatanga, Elisha, Eloiza May Galon, Uday Kumar Mohanta, et al.. (2023). First report of dog ticks and tick-borne pathogens they are carrying in Malawi. Journal of Veterinary Medical Science. 86(2). 150–159. 2 indexed citations
7.
Ma, Yihong, Yuzhen Xu, Xiangqiong Liu, et al.. (2021). The Genetic and Epigenetic Mechanisms Involved in Irreversible Pulp Neural Inflammation. Disease Markers. 2021. 1–26. 16 indexed citations
8.
Wang, Qian, Kai Wang, Yihong Ma, Simin Li, & Yuzhen Xu. (2021). Serum Galectin‐3 as a Potential Predictive Biomarker Is Associated with Poststroke Cognitive Impairment. Oxidative Medicine and Cellular Longevity. 2021(1). 5827812–5827812. 25 indexed citations
9.
Li, Simin, Yihong Ma, Yuzhen Xu, et al.. (2020). Identification of miRNAs as the Crosstalk in the Interaction between Neural Stem/Progenitor Cells and Endothelial Cells. Disease Markers. 2020. 1–29. 2 indexed citations
11.
Ma, Yihong, Mitsuharu Ueda, Satoru Shinriki, et al.. (2020). Novel dot-blot assay for detection of vascular Notch3 aggregates in patients with CADASIL. Journal of the Neurological Sciences. 415. 116931–116931. 5 indexed citations
12.
Ueda, Mitsuharu, Masayoshi Tasaki, Yasuteru Inoue, et al.. (2017). Serum amyloid P component: A novel potential player in vessel degeneration in CADASIL. Journal of the Neurological Sciences. 379. 69–76. 10 indexed citations
13.
Kreahling, Jenny, et al.. (2010). Histone Deacetylase Inhibitors Downregulate Checkpoint Kinase 1 Expression to Induce Cell Death in Non-Small Cell Lung Cancer Cells. PLoS ONE. 5(12). e14335–e14335. 60 indexed citations
14.
Ma, Yihong, Sandhya Boyapalle, Shen‐Shu Sung, et al.. (2008). A Small-Molecule E2F Inhibitor Blocks Growth in a Melanoma Culture Model. Cancer Research. 68(15). 6292–6299. 80 indexed citations
15.
Niu, Guilian, Jiehui Deng, Yihong Ma, et al.. (2008). Signal Transducer and Activator of Transcription 3 Is Required for Hypoxia-Inducible Factor-1α RNA Expression in Both Tumor Cells and Tumor-Associated Myeloid Cells. Molecular Cancer Research. 6(7). 1099–1105. 151 indexed citations
16.
Ma, Yihong, et al.. (2007). RhoBTB2 (DBC2) Is a Mitotic E2F1 Target Gene with a Novel Role in Apoptosis. Journal of Biological Chemistry. 283(4). 2353–2362. 33 indexed citations
17.
Wang, Chuangui, Xinghua Hou, Subhra Mohapatra, et al.. (2005). Activation of p27Kip1 Expression by E2F1. Journal of Biological Chemistry. 280(13). 12339–12343. 67 indexed citations
18.
Ma, Yihong, W. Douglas Cress, & Eric B. Haura. (2003). Flavopiridol-induced apoptosis is mediated through up-regulation of E2F1 and repression of Mcl-1.. PubMed. 2(1). 73–81. 91 indexed citations
19.
Ma, Yihong, Jing Yuan, Mei Huang, Richard Jove, & W. Douglas Cress. (2003). Regulation of the Cyclin D3 Promoter by E2F1. Journal of Biological Chemistry. 278(19). 16770–16776. 38 indexed citations
20.
Croxton, Rhonda, Yihong Ma, & W. Douglas Cress. (2002). Differences in DNA binding properties between E2F1 and E2F4 specify repression of the Mcl-1 promoter. Oncogene. 21(10). 1563–1570. 21 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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