David A. Liem

2.4k total citations
37 papers, 1.7k citations indexed

About

David A. Liem is a scholar working on Molecular Biology, Spectroscopy and Artificial Intelligence. According to data from OpenAlex, David A. Liem has authored 37 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 8 papers in Spectroscopy and 6 papers in Artificial Intelligence. Recurrent topics in David A. Liem's work include Mitochondrial Function and Pathology (15 papers), Biomedical Text Mining and Ontologies (7 papers) and ATP Synthase and ATPases Research (7 papers). David A. Liem is often cited by papers focused on Mitochondrial Function and Pathology (15 papers), Biomedical Text Mining and Ontologies (7 papers) and ATP Synthase and ATPases Research (7 papers). David A. Liem collaborates with scholars based in United States, China and United Kingdom. David A. Liem's co-authors include Peipei Ping, Peipei Ping, Jessica M. Lee, Jie Wang, Yibin Wang, Edward Lau, Chenggong Zong, Maggie P. Y. Lam, Ding Wang and James N. Weiss and has published in prestigious journals such as Circulation, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

David A. Liem

35 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David A. Liem United States 22 1.2k 263 254 230 186 37 1.7k
Chenggong Zong United States 23 1.3k 1.1× 243 0.9× 120 0.5× 324 1.4× 104 0.6× 37 1.6k
Vitaly A. Selivanov Spain 19 1.3k 1.0× 81 0.3× 257 1.0× 80 0.3× 238 1.3× 52 2.0k
Xiong Li China 24 1.3k 1.1× 89 0.3× 114 0.4× 157 0.7× 77 0.4× 45 1.9k
Kathy Pfeiffer Germany 20 1.8k 1.5× 205 0.8× 148 0.6× 160 0.7× 37 0.2× 36 2.2k
Maggie P. Y. Lam United States 23 975 0.8× 366 1.4× 195 0.8× 91 0.4× 27 0.1× 52 1.4k
William P. Dubinsky United States 27 1.1k 0.9× 119 0.5× 114 0.4× 158 0.7× 73 0.4× 66 1.8k
Armand Valsesia Switzerland 22 1.2k 0.9× 150 0.6× 81 0.3× 102 0.4× 78 0.4× 44 1.9k
Dimple Kauhanen Finland 17 1.8k 1.5× 208 0.8× 143 0.6× 100 0.4× 34 0.2× 22 2.2k
Mara Monetti United States 16 847 0.7× 165 0.6× 114 0.4× 182 0.8× 43 0.2× 33 1.7k
Ronald J. Holewinski United States 22 833 0.7× 108 0.4× 437 1.7× 72 0.3× 49 0.3× 41 1.3k

Countries citing papers authored by David A. Liem

Since Specialization
Citations

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

Fields of papers citing papers by David A. Liem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David A. Liem. 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 David A. Liem. The network helps show where David A. Liem may publish in the future.

Co-authorship network of co-authors of David A. Liem

This figure shows the co-authorship network connecting the top 25 collaborators of David A. Liem. A scholar is included among the top collaborators of David A. Liem 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 David A. Liem. David A. Liem 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.
2.
Yao, Danfeng, et al.. (2023). DRGCoder: Explainable Clinical Coding for the Early Prediction of Diagnostic-Related Groups. 373–380. 1 indexed citations
3.
Setty, Shaun P., David A. Liem, Yu Shi, et al.. (2019). Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications. Journal of Visualized Experiments. 3 indexed citations
4.
Setty, Shaun P., David A. Liem, Yu Shi, et al.. (2019). Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications. Journal of Visualized Experiments. 4 indexed citations
5.
Caufield, J. Harry, David A. Liem, Karol E. Watson, et al.. (2018). A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts. Journal of Visualized Experiments. 5 indexed citations
6.
Caufield, J. Harry, Shaun P. Setty, David A. Liem, et al.. (2018). A reference set of curated biomedical data and metadata from clinical case reports. Scientific Data. 5(1). 180258–180258. 21 indexed citations
7.
Lau, Edward, Quan Cao, Maggie P. Y. Lam, et al.. (2018). Integrated omics dissection of proteome dynamics during cardiac remodeling. Nature Communications. 9(1). 120–120. 62 indexed citations
8.
Ren, Xiang, Jiaming Shen, Meng Qu, et al.. (2017). Life-iNet: A Structured Network-Based Knowledge Exploration and Analytics System for Life Sciences. 55–60. 9 indexed citations
9.
Lau, Edward, Quan Cao, Dominic C. M. Ng, et al.. (2016). A large dataset of protein dynamics in the mammalian heart proteome. Scientific Data. 3(1). 160015–160015. 69 indexed citations
10.
Lau, Edward, Quan Cao, Amanda Lin, et al.. (2015). Spatial and temporal dynamics of the cardiac mitochondrial proteome. Expert Review of Proteomics. 12(2). 133–146. 9 indexed citations
11.
Lam, Maggie P. Y., Ding Wang, Edward Lau, et al.. (2014). Protein kinetic signatures of the remodeling heart following isoproterenol stimulation. Journal of Clinical Investigation. 124(4). 1734–1744. 75 indexed citations
12.
Gago‐López, Nuria, Yiqiang Zhang, Christopher Y. Ko, et al.. (2014). THY-1 Receptor Expression Differentiates Cardiosphere-Derived Cells with Divergent Cardiogenic Differentiation Potential. Stem Cell Reports. 2(5). 576–591. 43 indexed citations
13.
Lotz, Christopher, Jun Zhang, Caiyun Fang, David A. Liem, & Peipei Ping. (2014). Isoflurane Protects the Myocardium Against Ischemic Injury via the Preservation of Mitochondrial Respiration and Its Supramolecular Organization. Anesthesia & Analgesia. 120(2). 265–274. 18 indexed citations
14.
Wang, Ding, Caiyun Fang, Chenggong Zong, et al.. (2013). Regulation of Acetylation Restores Proteolytic Function of Diseased Myocardium in Mouse and Human. Molecular & Cellular Proteomics. 12(12). 3793–3802. 44 indexed citations
15.
Kim, Tae‐Young, Ding Wang, Allen K. Kim, et al.. (2012). Metabolic Labeling Reveals Proteome Dynamics of Mouse Mitochondria. Molecular & Cellular Proteomics. 11(12). 1586–1594. 145 indexed citations
16.
Lam, Maggie P. Y., Edward Lau, Sarah B. Scruggs, et al.. (2012). Site-specific quantitative analysis of cardiac mitochondrial protein phosphorylation. Journal of Proteomics. 81. 15–23. 22 indexed citations
17.
Liem, David A., Ekaterini Angelis, Jun Zhang, et al.. (2008). Cyclin-dependent kinase 2 signaling regulates myocardial ischemia/reperfusion injury. Journal of Molecular and Cellular Cardiology. 45(5). 610–616. 23 indexed citations
18.
Mayr, Manuel, David A. Liem, Jun Zhang, et al.. (2008). Proteomic and metabolomic analysis of cardioprotection: Interplay between protein kinase C epsilon and delta in regulating glucose metabolism of murine hearts. Journal of Molecular and Cellular Cardiology. 46(2). 268–277. 66 indexed citations
19.
Berhane, Beniam T., Chenggong Zong, David A. Liem, et al.. (2005). Cardiovascular‐related proteins identified in human plasma by the HUPO Plasma Proteome Project Pilot Phase. PROTEOMICS. 5(13). 3520–3530. 65 indexed citations
20.
Wang, Guangwu, David A. Liem, Thomas M. Vondriska, et al.. (2004). Nitric oxide donors protect murine myocardium against infarction via modulation of mitochondrial permeability transition. American Journal of Physiology-Heart and Circulatory Physiology. 288(3). H1290–H1295. 113 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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