Chen‐Ni Chin

1.8k total citations · 1 hit paper
14 papers, 1.4k citations indexed

About

Chen‐Ni Chin is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Pharmacology. According to data from OpenAlex, Chen‐Ni Chin has authored 14 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 4 papers in Pharmacology. Recurrent topics in Chen‐Ni Chin's work include Cannabis and Cannabinoid Research (4 papers), Neurotransmitter Receptor Influence on Behavior (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). Chen‐Ni Chin is often cited by papers focused on Cannabis and Cannabinoid Research (4 papers), Neurotransmitter Receptor Influence on Behavior (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). Chen‐Ni Chin collaborates with scholars based in United States, Sweden and China. Chen‐Ni Chin's co-authors include Debra A. Kendall, Gunnar von Heijne, Vasiliki Abadji, Jean Lucas‐Lenard, Jennifer L. Furman, Stephen C. Beck, Shannon E. Mullican, Jose A. Chavez, Shamina M. Rangwala and Anthony A. Armstrong and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Nature Communications.

In The Last Decade

Chen‐Ni Chin

13 papers receiving 1.4k citations

Hit Papers

align trajectories

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.

GFRAL is the receptor for GDF15 and the ligand promotes weight loss in mice and nonhuman primates

2017 536 citations Shannon E. Mullican, Xiefan Lin‐Schmidt et al. Nature Medicine profile →

Peers

Countries citing papers authored by Chen‐Ni Chin

Since Specialization

Citations

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

Fields of papers citing papers by Chen‐Ni Chin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chen‐Ni Chin. 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 Chen‐Ni Chin. The network helps show where Chen‐Ni Chin may publish in the future.

Co-authorship network of co-authors of Chen‐Ni Chin

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

All Works

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14 of 14 papers shown

#	Work	Indexed citations
1	An intranasally administered IgM protects against antigenically distinct subtypes of influenza A viruses 2025 ·Nature Communications ·Ashwin Ramesh, (unknown), Xiaohua Ye, (unknown), Hailong Guo, Chen‐Ni Chin, Sha Ha, John W. Shiver, William R. Strohl, Yan Xu, Haijuan Du, Tongqing Zhou, Ningyan Zhang, Kai Xu, Xinli Liu, Tong‐Ming Fu, Zhiqiang An	0
2	Tumor cell-directed STING agonist antibody-drug conjugates induce type III interferons and anti-tumor innate immune responses 2024 ·Nature Communications ·(unknown), Travis Monnell, (unknown), Pamela Shaw, (unknown), (unknown), Melissa Dolan, Rebecca Mosher, (unknown), Chen‐Ni Chin, Dorin Toader, Jeremy R. Duvall, Raghida A. Bukhalid, Timothy B. Lowinger, Marc Damelin	33
3	620 Tumor cell-intrinsic STING pathway is activated in the presence of cues from immune cells and contributes to the anti-tumor activity of tumor cell-targeted STING agonist antibody-drug conjugates 2020 ·SHILAP Revista de lepidopterología ·Naniye Mallı Cetinbas, Travis Monnell, Winnie Lee, (unknown), Chen‐Ni Chin, Pamela Shaw, Kelly L. Slocum, LiuLiang Qin, (unknown), K. W. Bentley, Susan M. Clardy, Brian Jones, (unknown), Joshua D. Thomas, Rebecca Mosher, Dorin Toader, Jeremy R. Duvall, Raghida A. Bukhalid, Marc Damelin, Timothy B. Lowinger	3
4	Abstract 2687: Dolasynthen–a novel, homogeneous Auristatin F hydroxypropyl amide antibody-drug conjugate platform 2019 ·Cancer Research ·Dorin Toader, Marc Damelin, Anouk Dirksen, (unknown), Scott D. Collins, Barrett J. Nehilla, Jian Xu, Ling Xu, (unknown), (unknown), Winnie Lee, Susan M. Clardy, (unknown), LiuLiang Qin, Patrick R. Conlon, (unknown), Chen‐Ni Chin, David H. Lee, Timothy B. Lowinger	1
5	GFRAL is the receptor for GDF15 and the ligand promotes weight loss in mice and nonhuman primates breakdown → 2017 ·Nature Medicine ·Shannon E. Mullican, Xiefan Lin‐Schmidt, Chen‐Ni Chin, Jose A. Chavez, Jennifer L. Furman, Anthony A. Armstrong, Stephen C. Beck, Victoria J. South, Thai Dinh, (unknown), Cassandre Cavanaugh, (unknown), Chichi Huang, Michael J. Hunter, Shamina M. Rangwala	536
6	Suppression of PC-1/ENPP-1 expression improves insulin sensitivity in vitro and in vivo 2009 ·European Journal of Pharmacology ·Heather Zhou, Chen‐Ni Chin, Margaret Wu, Weihua Ni, Shuo Quan, Franklin Liu, Qing Dallas-Yang, Kenneth Ellsworth, Thu Ho, Aiwu Zhang, (unknown), Jing Li, Kevin T. Chapman, William R. Strohl, Cai Li, I‐Ming Wang, Joel P. Berger, Zhiqiang An, Bei B. Zhang, Guoqiang Jiang	28
7	Membrane Assembly of the Cannabinoid Receptor 1: Impact of a Long N-Terminal Tail 2003 ·Molecular Pharmacology ·Helena Andersson, Aaron M. D’Antona, Debra A. Kendall, Gunnar von Heijne, Chen‐Ni Chin	99
8	Membrane protein folding: beyond the two stage model 2003 ·FEBS Letters ·Donald M. Engelman, Yang Chen, Chen‐Ni Chin, A. Rachael Curran, Ann M. Dixon, (unknown), Albert S. Lee, Ursula Lehnert, Erin Matthews, Yana K. Reshetnyak, Alessandro Senes, Jean‐Luc Popot	250
9	Rapid topology mapping of Escherichia coli inner-membrane proteins by prediction and PhoA/GFP fusion analysis 2002 ·Proceedings of the National Academy of Sciences ·David Drew, Dan Sjöstrand, Johan Nilsson, Thomas Urbig, Chen‐Ni Chin, Jan‐Willem De Gier, Gunnar von Heijne	165
10	Membrane proteins: shaping up 2002 ·Trends in Biochemical Sciences ·Chen‐Ni Chin, Gunnar von Heijne, Jan‐Willem L. de Gier	17
11	Charge pair interactions in a model transmembrane helix in the ER membrane 2000 ·Journal of Molecular Biology ·Chen‐Ni Chin, Gunnar von Heijne	25
12	Involvement of the Carboxyl Terminus of the Third Intracellular Loop of the Cannabinoid CB1 Receptor in Constitutive Activation of G_s 1999 ·Journal of Neurochemistry ·Vasiliki Abadji, Jean Lucas‐Lenard, Chen‐Ni Chin, Debra A. Kendall	80
13	The Third Transmembrane Helix of the Cannabinoid Receptor Plays a Role in the Selectivity of Aminoalkylindoles for CB2, Peripheral Cannabinoid Receptor 1999 ·Journal of Pharmacology and Experimental Therapeutics ·Chen‐Ni Chin, James W. Murphy, John W. Huffman, Debra A. Kendall	60
14	Ligand Binding and Modulation of Cyclic AMP Levels Depend on the Chemical Nature of Residue 192 of the Human Cannabinoid Receptor 1 1998 ·Journal of Neurochemistry ·Chen‐Ni Chin, Jean Lucas‐Lenard, Vasiliki Abadji, Debra A. Kendall	68

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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