James D. Tang

497 total citations
9 papers, 407 citations indexed

About

James D. Tang is a scholar working on Molecular Biology, Biomaterials and Genetics. According to data from OpenAlex, James D. Tang has authored 9 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Biomaterials and 3 papers in Genetics. Recurrent topics in James D. Tang's work include Pain Mechanisms and Treatments (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Supramolecular Self-Assembly in Materials (2 papers). James D. Tang is often cited by papers focused on Pain Mechanisms and Treatments (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Supramolecular Self-Assembly in Materials (2 papers). James D. Tang collaborates with scholars based in United States and Canada. James D. Tang's co-authors include Kyle J. Lampe, Cameron Mura, Giannina Descalzi, Steven R. Caliari, Bryan W. Berger, Charles E. McAnany, Jeffery B. Klauda, Min-Kang Hsieh, Matthew J. Lazzara and Andrea L. Clark and has published in prestigious journals such as Journal of the American Chemical Society, Biochimica et Biophysica Acta (BBA) - Biomembranes and Biomacromolecules.

In The Last Decade

James D. Tang

9 papers receiving 404 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
James D. Tang United States	7	218	130	109	84	65	9	407
Daisong Liu China	9	223 1.0×	96 0.7×	89 0.8×	43 0.5×	36 0.6×	16	510
A. Berthold Germany	5	338 1.6×	209 1.6×	96 0.9×	69 0.8×	59 0.9×	6	711
Silvia Tortorella Italy	15	210 1.0×	133 1.0×	212 1.9×	25 0.3×	40 0.6×	22	657
Rowan Orme United Kingdom	8	86 0.4×	111 0.9×	79 0.7×	57 0.7×	33 0.5×	9	386
Alexandra L. Rodriguez Australia	12	277 1.3×	203 1.6×	116 1.1×	33 0.4×	68 1.0×	15	539
Hye Jin Oh South Korea	14	169 0.8×	192 1.5×	57 0.5×	155 1.8×	98 1.5×	50	634
Katelyn E. Swindle‐Reilly United States	16	169 0.8×	137 1.1×	161 1.5×	51 0.6×	30 0.5×	35	838
Haihong Wang China	14	101 0.5×	244 1.9×	89 0.8×	108 1.3×	87 1.3×	34	667
Renshu Zhang United States	15	181 0.8×	248 1.9×	119 1.1×	47 0.6×	56 0.9×	26	641

Countries citing papers authored by James D. Tang

Since Specialization

Citations

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

Fields of papers citing papers by James D. Tang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James D. Tang. 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 James D. Tang. The network helps show where James D. Tang may publish in the future.

Co-authorship network of co-authors of James D. Tang

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

Tang, James D., et al.. (2024). Astrocyte neuronal metabolic coupling in the anterior cingulate cortex of mice with inflammatory pain. Brain Behavior and Immunity. 125. 212–225. 2 indexed citations

Hsieh, Min-Kang, et al.. (2023). Understanding how transmembrane domains regulate interactions between human BST-2 and the SARS-CoV-2 accessory protein ORF7a. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1865(6). 184174–184174. 5 indexed citations

Tang, James D., et al.. (2021). Reactive Astrocytes: Critical Players in the Development of Chronic Pain. Frontiers in Psychiatry. 12. 682056–682056. 46 indexed citations

Tang, James D., et al.. (2021). Engineering human liver fatty acid binding protein for detection of poly‐ and perfluoroalkyl substances. Biotechnology and Bioengineering. 119(2). 513–522. 17 indexed citations

Tang, James D., Cameron Mura, & Kyle J. Lampe. (2019). Stimuli-Responsive, Pentapeptide, Nanofiber Hydrogel for Tissue Engineering. Journal of the American Chemical Society. 141(12). 4886–4899. 250 indexed citations

Tang, James D., et al.. (2019). Rapidly Assembling Pentapeptides for Injectable Delivery (RAPID) Hydrogels as Cytoprotective Cell Carriers. ACS Biomaterials Science & Engineering. 5(5). 2117–2121. 24 indexed citations

Tang, James D. & Kyle J. Lampe. (2018). From de novo peptides to native proteins: advancements in biomaterial scaffolds for acute ischemic stroke repair. Biomedical Materials. 13(3). 34103–34103. 16 indexed citations

Tang, James D., Steven R. Caliari, & Kyle J. Lampe. (2018). Temperature-Dependent Complex Coacervation of Engineered Elastin-like Polypeptide and Hyaluronic Acid Polyelectrolytes. Biomacromolecules. 19(10). 3925–3935. 31 indexed citations

Tang, James D., Charles E. McAnany, Cameron Mura, & Kyle J. Lampe. (2016). Toward a Designable Extracellular Matrix: Molecular Dynamics Simulations of an Engineered Laminin-Mimetic, Elastin-Like Fusion Protein. Biomacromolecules. 17(10). 3222–3233. 16 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.

Explore authors with similar magnitude of impact