Eric Tang

2.5k total citations · 1 hit paper
19 papers, 2.2k citations indexed

About

Eric Tang is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Eric Tang has authored 19 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Immunology and 7 papers in Cancer Research. Recurrent topics in Eric Tang's work include NF-κB Signaling Pathways (7 papers), interferon and immune responses (6 papers) and Immune Response and Inflammation (6 papers). Eric Tang is often cited by papers focused on NF-κB Signaling Pathways (7 papers), interferon and immune responses (6 papers) and Immune Response and Inflammation (6 papers). Eric Tang collaborates with scholars based in United States, United Kingdom and Japan. Eric Tang's co-authors include Kun‐Liang Guan, Cun‐Yu Wang, Gabriel Núñez, Frederic G. Barr, Cun-Yu Wang, Fan Yang, Paul H. Krebsbach, Zhipeng Fan, Zhuo Wang and Jia Chang and has published in prestigious journals such as Journal of Biological Chemistry, Nature Medicine and Nature Communications.

In The Last Decade

Eric Tang

19 papers receiving 2.2k citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Negative Regulation of the Forkhead Transcription Factor FKHR by Akt

1999 656 citations Eric Tang, Gabriel Núñez et al. Journal of Biological Chemistry profile →

Peers

Countries citing papers authored by Eric Tang

Since Specialization

Citations

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

Fields of papers citing papers by Eric Tang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric Tang

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

All Works

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19 of 19 papers shown

#	Work	Indexed citations
1	CIFER: A Cache-Coherent 12-nm 16-mm² SoC With Four 64-Bit RISC-V Application Cores, 18 32-Bit RISC-V Compute Cores, and a 1541 LUT6/mm² Synthesizable eFPGA 2023 ·IEEE Solid-State Circuits Letters ·Ang Li, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), P.J. Jackson, (unknown), (unknown), (unknown), (unknown), Xiaoyu Yan, Eric Tang, Jonathan Balkind, Christopher Batten, David Wentzlaff	3
2	CIFER: A 12nm, 16mm², 22-Core SoC with a 1541 LUT6/mm² 1.92 MOPS/LUT, Fully Synthesizable, CacheCoherent, Embedded FPGA 2023 ·(unknown), Ang Li, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), P.J. Jackson, (unknown), (unknown), (unknown), (unknown), Xiaoyu Yan, Eric Tang, Jonathan Balkind, Christopher Batten, David Wentzlaff	3
3	Imaging reconfigurable molecular concentration on a graphene field-effect transistor 2021 ·arXiv (Cornell University) ·Franklin Liou, Hsin‐Zon Tsai, Andrew S. Aikawa, (unknown), Eric Tang, (unknown), Alexander Riss, Kenji Watanabe, Takashi Taniguchi, Johannes Lischner, Alex Zettl, Michael F. Crommie	7
4	A programmable epidermal microfluidic valving system for wearable biofluid management and contextual biomarker analysis 2020 ·Nature Communications ·Haisong Lin, Jiawei Tan, Jialun Zhu, Shuyu Lin, Yichao Zhao, Wenzhuo Yu, Hannaneh Hojaiji, Bo Wang, Siyang Yang, Xuanbing Cheng, Zhaoqing Wang, Eric Tang, Christopher Yeung, Sam Emaminejad	132
5	A Stimuli-Responsive Hydrogel Array Fabrication Scheme for Large-Scale and Wearable Microfluidic Valving 2020 ·Journal of Microelectromechanical Systems ·Jiawei Tan, Haisong Lin, Shuyu Lin, Wenzhuo Yu, Jialun Zhu, Yichao Zhao, Xuanbing Cheng, Siyang Yang, Eric Tang, Sam Emaminejad	2
6	YAP-mediated induction of monoacylglycerol lipase restrains oncogenic transformation 2015 ·Cellular Signalling ·Eric Tang, Cun‐Yu Wang	1
7	Single Amino Acid Change in STING Leads to Constitutive Active Signaling 2015 ·PLoS ONE ·Eric Tang, Cun-Yu Wang	20
8	TRAF5 Is a Downstream Target of MAVS in Antiviral Innate Immune Signaling 2010 ·PLoS ONE ·Eric Tang, Cun‐Yu Wang	65
9	Inhibition of osteoblastic bone formation by nuclear factor-κB 2009 ·Nature Medicine ·Jia Chang, Zhuo Wang, Eric Tang, Zhipeng Fan, Laurie K. McCauley, Renny T. Franceschi, Kun‐Liang Guan, Paul H. Krebsbach, Cun-Yu Wang	400
10	MAVS Self-Association Mediates Antiviral Innate Immune Signaling 2009 ·Journal of Virology ·Eric Tang, Cun‐Yu Wang	116
11	The Zinc Finger Mutation C417R of I-κB Kinase γ Impairs Lipopolysaccharide- and TNF-Mediated NF-κB Activation through Inhibiting Phosphorylation of the I-κB Kinase β Activation Loop 2004 ·The Journal of Immunology ·Fan Yang, Junro Yamashita, Eric Tang, Hom‐Lay Wang, Kun‐Liang Guan, Cun‐Yu Wang	33
12	IKKβ Plays an Essential Role in the Phosphorylation of RelA/p65 on Serine 536 Induced by Lipopolysaccharide 2003 ·The Journal of Immunology ·Fan Yang, Eric Tang, Kun‐Liang Guan, Cun‐Yu Wang	351
13	Roles for Homotypic Interactions and Transautophosphorylation in IκB Kinase (IKKβ) Activation 2003 ·Journal of Biological Chemistry ·Eric Tang, Naohiro Inohara, Cun-Yu Wang, Gabriel Núñez, Kun‐Liang Guan	35
14	A Role for NF-κB Essential Modifier/IκB Kinase-γ (NEMO/IKKγ) Ubiquitination in the Activation of the IκB Kinase Complex by Tumor Necrosis Factor-α 2003 ·Journal of Biological Chemistry ·Eric Tang, Cun-Yu Wang, Yue Xiong, Kun‐Liang Guan	177
15	Roles for homotypic interactions and transautophosphorylation in IκB kinase β (IKKβ) activation. Vol. 278 (2003) 38566–38570 2003 ·Journal of Biological Chemistry ·Eric Tang, Naohiro Inohara, Cun‐Yu Wang, Gabriel Núñez, Kun‐Liang Guan	1
16	Suppression of Tumor Necrosis Factor-mediated Apoptosis by Nuclear Factor κB-independent Bone Morphogenetic Protein/Smad Signaling 2001 ·Journal of Biological Chemistry ·Shaoqiong Chen, Denis C. Guttridge, Eric Tang, Songtao Shi, Kun‐Liang Guan, Cun‐Yu Wang	62
17	Serum- and Glucocorticoid-inducible Kinase SGK Phosphorylates and Negatively Regulates B-Raf 2001 ·Journal of Biological Chemistry ·(unknown), Eric Tang, Tianqing Zhu, Michael E. Greenberg, Anne B. Vojtek, Kun‐Liang Guan	91
18	Negative Regulation of the Forkhead Transcription Factor FKHR by Akt breakdown → 1999 ·Journal of Biological Chemistry ·Eric Tang, Gabriel Núñez, Frederic G. Barr, Kun‐Liang Guan	656
19	The Schizosaccharomyces pombe MBF Complex Requires Heterodimerization for Entry into S Phase 1995 ·Molecular and Cellular Biology ·José Ayté, José F. Leis, Adriana Herrera, Eric Tang, (unknown), James A. DeCaprio	37

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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