Da‐Neng Wang

7.9k total citations · 2 hit papers
63 papers, 6.1k citations indexed

About

Da‐Neng Wang is a scholar working on Molecular Biology, Materials Chemistry and Oncology. According to data from OpenAlex, Da‐Neng Wang has authored 63 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 12 papers in Materials Chemistry and 11 papers in Oncology. Recurrent topics in Da‐Neng Wang's work include Lipid Membrane Structure and Behavior (12 papers), Drug Transport and Resistance Mechanisms (11 papers) and Enzyme Structure and Function (10 papers). Da‐Neng Wang is often cited by papers focused on Lipid Membrane Structure and Behavior (12 papers), Drug Transport and Resistance Mechanisms (11 papers) and Enzyme Structure and Function (10 papers). Da‐Neng Wang collaborates with scholars based in United States, Germany and Sweden. Da‐Neng Wang's co-authors include Werner Kühlbrandt, Yoshinori Fujiyoshi, M. Joanne Lemieux, Yafei Huang, Jinmei Song, Christopher J. Law, Manfred Auer, Peter C. Maloney, Nathan K. Karpowich and Juan Zhen and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Da‐Neng Wang

61 papers receiving 5.9k citations

Hit Papers

Atomic model of plant light-harvesting complex by electro... 1994 2026 2004 2015 1994 2003 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Da‐Neng Wang United States 37 4.4k 1.1k 776 718 652 63 6.1k
Eiki Yamashita Japan 45 8.5k 1.9× 1.7k 1.5× 1.1k 1.5× 638 0.9× 711 1.1× 140 11.5k
Howard Robinson United States 59 6.9k 1.6× 509 0.5× 1.0k 1.3× 734 1.0× 720 1.1× 223 9.8k
L. Mario Amzel United States 70 9.7k 2.2× 968 0.9× 1.7k 2.1× 527 0.7× 1.4k 2.2× 246 14.7k
Tomitake Tsukihara Japan 52 9.2k 2.1× 1.7k 1.5× 1.5k 2.0× 897 1.2× 833 1.3× 226 13.0k
Matti Saraste Germany 55 9.5k 2.2× 1.0k 1.0× 1.4k 1.8× 579 0.8× 622 1.0× 99 12.4k
Carola Hunte Germany 41 5.6k 1.3× 502 0.5× 444 0.6× 387 0.5× 247 0.4× 94 6.8k
Wolfram Welte Germany 45 5.4k 1.2× 517 0.5× 985 1.3× 351 0.5× 233 0.4× 130 7.3k
Kunio Hirata Japan 44 3.7k 0.8× 1.4k 1.3× 1.1k 1.5× 343 0.5× 294 0.5× 117 5.8k
Takehiro Suzuki Japan 43 4.7k 1.1× 446 0.4× 307 0.4× 709 1.0× 851 1.3× 274 7.5k
Chikashi Toyoshima Japan 47 8.3k 1.9× 859 0.8× 790 1.0× 525 0.7× 604 0.9× 119 10.2k

Countries citing papers authored by Da‐Neng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Da‐Neng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Da‐Neng Wang. 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 Da‐Neng Wang. The network helps show where Da‐Neng Wang may publish in the future.

Co-authorship network of co-authors of Da‐Neng Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Da‐Neng Wang. A scholar is included among the top collaborators of Da‐Neng Wang 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 Da‐Neng Wang. Da‐Neng Wang 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.
Mulligan, Christopher, David B. Sauer, Jennifer J. Marden, et al.. (2026). Elevator mechanism dynamics in a sodium-coupled dicarboxylate transporter. Proceedings of the National Academy of Sciences. 123(2). e2500723123–e2500723123.
3.
Li, Jianping, Akiko Koide, Huihui Kuang, et al.. (2024). Proton-coupled transport mechanism of the efflux pump NorA. Nature Communications. 15(1). 4494–4494. 11 indexed citations
4.
Li, Yan, Jinmei Song, Jennifer J. Marden, et al.. (2024). Substrate translocation and inhibition in human dicarboxylate transporter NaDC3. Nature Structural & Molecular Biology. 32(3). 502–512. 4 indexed citations
5.
Sauer, David B., Jianping Li, Xuhui Zheng, et al.. (2022). Structural basis for inhibition of the drug efflux pump NorA from Staphylococcus aureus. Nature Chemical Biology. 18(7). 706–712. 51 indexed citations
6.
Sauer, David B., et al.. (2022). Structural basis of ion – substrate coupling in the Na+-dependent dicarboxylate transporter VcINDY. Nature Communications. 13(1). 2644–2644. 15 indexed citations
7.
Sauer, David B., Jinmei Song, Bing Wang, et al.. (2021). Structure and inhibition mechanism of the human citrate transporter NaCT. Nature. 591(7848). 157–161. 59 indexed citations
8.
Sauer, David B. & Da‐Neng Wang. (2019). Predicting the optimal growth temperatures of prokaryotes using only genome derived features. Bioinformatics. 35(18). 3224–3231. 58 indexed citations
9.
Karpowich, Nathan K., Jinmei Song, & Da‐Neng Wang. (2016). An Aromatic Cap Seals the Substrate Binding Site in an ECF-Type S Subunit for Riboflavin. Journal of Molecular Biology. 428(15). 3118–3130. 14 indexed citations
10.
Mulligan, Christopher, Gabriel A. Fitzgerald, Da‐Neng Wang, & Joseph A. Mindell. (2014). Functional characterization of a Na+-dependent dicarboxylate transporter from Vibrio cholerae. The Journal of General Physiology. 143(6). 745–759. 41 indexed citations
11.
Wang, Da‐Neng, Heather Stieglitz, Jennifer J. Marden, & Lukas K. Tamm. (2013). Benjamin Franklin, Philadelphia’s Favorite Son, was a Membrane Biophysicist. Biophysical Journal. 104(2). 287–291. 5 indexed citations
12.
Czyzewski, Bryan K. & Da‐Neng Wang. (2012). Identification and characterization of a bacterial hydrosulphide ion channel. Nature. 483(7390). 494–497. 120 indexed citations
13.
Mancusso, Romina, Nathan K. Karpowich, Bryan K. Czyzewski, & Da‐Neng Wang. (2011). Simple screening method for improving membrane protein thermostability. Methods. 55(4). 324–329. 38 indexed citations
14.
Karpowich, Nathan K., et al.. (2010). Substrate and drug binding sites in LeuT. Current Opinion in Structural Biology. 20(4). 415–422. 33 indexed citations
15.
Zhou, Zheng, Juan Zhen, Nathan K. Karpowich, et al.. (2009). Antidepressant specificity of serotonin transporter suggested by three LeuT–SSRI structures. Nature Structural & Molecular Biology. 16(6). 652–657. 202 indexed citations
16.
Zhou, Zheng, Juan Zhen, Nathan K. Karpowich, et al.. (2007). LeuT-Desipramine Structure Reveals How Antidepressants Block Neurotransmitter Reuptake. Science. 317(5843). 1390–1393. 275 indexed citations
17.
Lemieux, M. Joanne, Yafei Huang, & Da‐Neng Wang. (2005). Crystal structure and mechanism of GlpT, the glycerol-3-phosphate transporter from E. coli. Microscopy. 54(suppl_1). i43–i46. 29 indexed citations
18.
Huang, Yafei, M. Joanne Lemieux, Jinmei Song, Manfred Auer, & Da‐Neng Wang. (2003). Structure and Mechanism of the Glycerol-3-Phosphate Transporter from Escherichia coli. Science. 301(5633). 616–620. 833 indexed citations breakdown →
19.
Wang, Da‐Neng, et al.. (2003). Practical aspects of overexpressing bacterial secondary membrane transporters for structural studies. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1610(1). 23–36. 66 indexed citations
20.
Wang, Da‐Neng, et al.. (1994). Three-dimensional map of the dimeric membrane domain of the human erythrocyte anion exchanger, Band 3.. The EMBO Journal. 13(14). 3230–3235. 115 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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