Eric Zhang

1.0k total citations
22 papers, 611 citations indexed

About

Eric Zhang is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Eric Zhang has authored 22 papers receiving a total of 611 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Cancer Research and 4 papers in Surgery. Recurrent topics in Eric Zhang's work include Extracellular vesicles in disease (5 papers), MicroRNA in disease regulation (4 papers) and Tissue Engineering and Regenerative Medicine (3 papers). Eric Zhang is often cited by papers focused on Extracellular vesicles in disease (5 papers), MicroRNA in disease regulation (4 papers) and Tissue Engineering and Regenerative Medicine (3 papers). Eric Zhang collaborates with scholars based in United States, China and Switzerland. Eric Zhang's co-authors include Ping Liao, Jianyi Zhang, Gangjian Qin, Yang Yu, Junjie Yang, Yang Liu, Nianguo Dong, Guiwen Yi, Sumanth D. Prabhu and Bangwei Wu and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and PLoS ONE.

In The Last Decade

Eric Zhang

21 papers receiving 602 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric Zhang United States 13 379 112 77 67 61 22 611
Xudong Zhao China 17 449 1.2× 127 1.1× 61 0.8× 40 0.6× 102 1.7× 53 924
Álvaro Becerra Chile 14 399 1.1× 42 0.4× 65 0.8× 62 0.9× 72 1.2× 26 889
Qing Ye China 15 183 0.5× 49 0.4× 42 0.5× 38 0.6× 81 1.3× 35 516
Martin Vidgeon-Hart United Kingdom 15 261 0.7× 82 0.7× 114 1.5× 145 2.2× 38 0.6× 19 723
Xi Ye China 16 343 0.9× 78 0.7× 90 1.2× 39 0.6× 57 0.9× 34 712
Yohan Santin France 10 253 0.7× 37 0.3× 104 1.4× 38 0.6× 22 0.4× 14 566
Amaresh K. Ranjan United States 15 237 0.6× 40 0.4× 43 0.6× 118 1.8× 49 0.8× 28 603
Yueyang Liu China 15 413 1.1× 120 1.1× 29 0.4× 35 0.5× 155 2.5× 43 823

Countries citing papers authored by Eric Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Eric Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Eric Zhang. A scholar is included among the top collaborators of Eric 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 Eric Zhang. Eric Zhang 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.
Álvarez, Nadir, Ran Huo, Eric Zhang, et al.. (2024). MuscleX: data analysis software for fiber diffraction patterns from muscle. Journal of Synchrotron Radiation. 31(5). 1401–1408. 3 indexed citations
2.
Zhang, Eric, et al.. (2024). A Systematic Review of Stress Physiology in Gambling Disorder and Problem Gambling. Current Behavioral Neuroscience Reports. 11(3). 182–200.
3.
Haggadone, Mikel D., Jennifer M. Speth, Hanna S. Hong, et al.. (2022). ATP citrate lyase links increases in glycolysis to diminished release of vesicular suppressor of cytokine signaling 3 by alveolar macrophages. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1868(10). 166458–166458. 3 indexed citations
4.
Zhang, Eric, Chaoshan Han, Chengming Fan, et al.. (2021). Visualization and Identification of Bioorthogonally Labeled Exosome Proteins Following Systemic Administration in Mice. Frontiers in Cell and Developmental Biology. 9. 657456–657456. 11 indexed citations
5.
Zhang, Eric, Thanh Nguyen, Meng Zhao, et al.. (2020). Identifying the key regulators that promote cell-cycle activity in the hearts of early neonatal pigs after myocardial injury. PLoS ONE. 15(7). e0232963–e0232963. 15 indexed citations
6.
Fan, Chengming, et al.. (2020). Utilization of Human Induced Pluripotent Stem Cells for Cardiac Repair. Frontiers in Cell and Developmental Biology. 8. 36–36. 28 indexed citations
7.
Yang, Junjie, Eric Zhang, Liu Yan-wen, et al.. (2020). Analysis of mesenchymal stem cell proteomes in situ in the ischemic heart. Theranostics. 10(24). 11324–11338. 14 indexed citations
8.
Yue, Zongliang, et al.. (2020). PAGER-CoV: a comprehensive collection of pathways, annotated gene-lists and gene signatures for coronavirus disease studies. Nucleic Acids Research. 49(D1). D589–D599. 7 indexed citations
9.
Burzyn, Dalia, Charan Leng, Olga Burenkova, et al.. (2020). Abstract A50: Reprogramming of tumor-associated M2 macrophages with antisense oligonucleotide-loaded exosomes results in potent single-agent antitumor activity. Cancer Immunology Research. 8(3_Supplement). A50–A50. 4 indexed citations
10.
Cheng, Min, Junjie Yang, Xiaoqi Zhao, et al.. (2019). Circulating myocardial microRNAs from infarcted hearts are carried in exosomes and mobilise bone marrow progenitor cells. Nature Communications. 10(1). 959–959. 170 indexed citations
11.
Olasky, Jaisa, Michael J. Kim, Eric Zhang, et al.. (2019). ACS/ASE Medical Student Simulation-Based Skills Curriculum Study: Implementation Phase. Journal of surgical education. 76(4). 962–969. 12 indexed citations
12.
Zhang, Eric & Ping Liao. (2019). Brain‐derived neurotrophic factor and post‐stroke depression. Journal of Neuroscience Research. 98(3). 537–548. 97 indexed citations
13.
Kannappan, Ramaswamy, Alex Matsuda, João Ferreira‐Martins, et al.. (2017). p53 Modulates the Fate of Cardiac Progenitor Cells Ex Vivo and in the Diabetic Heart In Vivo. EBioMedicine. 16. 224–237. 9 indexed citations
14.
Zhang, Eric, et al.. (2016). Altered activity patterns of transcription factors induced by endoplasmic reticulum stress. BMC Biochemistry. 17(1). 8–8. 23 indexed citations
15.
16.
Zhang, Eric & Ping Liao. (2014). Brain transient receptor potential channels and stroke. Journal of Neuroscience Research. 93(8). 1165–1183. 48 indexed citations
17.
Cheng, Hengmiao, Jacqui Hoffman, Phuong Le, et al.. (2013). Structure-based design, SAR analysis and antitumor activity of PI3K/mTOR dual inhibitors from 4-methylpyridopyrimidinone series. Bioorganic & Medicinal Chemistry Letters. 23(9). 2787–2792. 23 indexed citations
18.
Le, Phuong, Hengmiao Cheng, Sacha Ninkovic, et al.. (2012). Design and synthesis of a novel pyrrolidinyl pyrido pyrimidinone derivative as a potent inhibitor of PI3Kα and mTOR. Bioorganic & Medicinal Chemistry Letters. 22(15). 5098–5103. 26 indexed citations
19.
Cheng, Hengmiao, Shubha Bagrodia, Simon Bailey, et al.. (2010). Discovery of the highly potent PI3K/mTOR dual inhibitor PF-04691502 through structure based drug design. MedChemComm. 1(2). 139–139. 57 indexed citations
20.
Prasanna, Ganesh, Cathie Xiang, Eric Zhang, et al.. (2009). Ocular pharmacokinetics and hypotensive activity of PF-04475270, an EP4 prostaglandin agonist in preclinical models. Experimental Eye Research. 89(5). 608–617. 31 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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