Feng-Fang Tsai

484 total citations
12 papers, 352 citations indexed

About

Feng-Fang Tsai is a scholar working on Surgery, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Feng-Fang Tsai has authored 12 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Cognitive Neuroscience. Recurrent topics in Feng-Fang Tsai's work include Anesthesia and Pain Management (3 papers), Neural dynamics and brain function (2 papers) and Airway Management and Intubation Techniques (2 papers). Feng-Fang Tsai is often cited by papers focused on Anesthesia and Pain Management (3 papers), Neural dynamics and brain function (2 papers) and Airway Management and Intubation Techniques (2 papers). Feng-Fang Tsai collaborates with scholars based in Taiwan, United States and United Kingdom. Feng-Fang Tsai's co-authors include Xianyu Liu, Joseph Jeffry, Qifang Li, Zhongchun Liu, Zhou‐Feng Chen, Horace H. Loh, Michael H. Ross, Seungil Kim, Shou‐Zen Fan and Jia‐Rong Yeh and has published in prestigious journals such as Cell, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Feng-Fang Tsai

11 papers receiving 346 citations

Peers

Countries citing papers authored by Feng-Fang Tsai

Since Specialization

Citations

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

Fields of papers citing papers by Feng-Fang Tsai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Feng-Fang Tsai. 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 Feng-Fang Tsai. The network helps show where Feng-Fang Tsai may publish in the future.

Co-authorship network of co-authors of Feng-Fang Tsai

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

All Works

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12 of 12 papers shown

#	Work	Indexed citations
1	Machine Learning Model for Anesthetic Risk Stratification for Gynecologic and Obstetric Patients: Cross-Sectional Study Outlining a Novel Approach for Early Detection 2024 ·JMIR Formative Research ·Feng-Fang Tsai, Yung‐Chun Chang, (unknown), Bor‐Ching Sheu, Min‐Huei Hsu, Huei‐Ming Yeh	1
2	Feasibility of Nonintubated Anesthesia for Lumboperitoneal Shunt Implantation 2022 ·SHILAP Revista de lepidopterología ·Abel Po‐Hao Huang, Feng-Fang Tsai, Chien‐Chia Chen, (unknown), Lu‐Ting Kuo	0
3	Deceleration capacity of heart rate variability as a predictor of sedation related hypotension 2021 ·Scientific Reports ·Feng-Fang Tsai, Chih‐Min Liu, Hsiu‐Po Wang, Jia‐Rong Yeh, Shou‐Zen Fan	3
4	Multi-timescale phase-amplitude couplings in transitions of anesthetic-induced unconsciousness 2019 ·Scientific Reports ·Feng-Fang Tsai, Shou‐Zen Fan, (unknown), Jia‐Rong Yeh	7
5	I-Gel is a suitable alternative to endotracheal tubes in the laparoscopic pneumoperitoneum and trendelenburg position 2017 ·BMC Anesthesiology ·(unknown), Chih‐Min Liu, Chun‐Yu Wu, Feng-Fang Tsai, Ping‐Huei Tseng, Shou‐Zen Fan	24
6	Investigating Power Density and the Degree of Nonlinearity in Intrinsic Components of Anesthesia EEG by the Hilbert-Huang Transform: An Example Using Ketamine and Alfentanil 2016 ·PLoS ONE ·Feng-Fang Tsai, Shou‐Zen Fan, (unknown), Norden E. Huang, Jia‐Rong Yeh	24
7	Sample Entropy Analysis of EEG Signals via Artificial Neural Networks to Model Patients’ Consciousness Level Based on Anesthesiologists Experience 2015 ·BioMed Research International ·(unknown), Shou‐Zen Fan, Maysam Abbod, Hui‐Hsun Huang, (unknown), Feng-Fang Tsai, (unknown), (unknown), (unknown), (unknown), Kuo‐Kuang Jen, (unknown), Jiann-Shing Shieh	51
8	Unidirectional Cross-Activation of GRPR by MOR1D Uncouples Itch and Analgesia Induced by Opioids 2011 ·Cell ·Xianyu Liu, Zhongchun Liu, (unknown), Michael H. Ross, Seungil Kim, Feng-Fang Tsai, Qifang Li, Joseph Jeffry, (unknown), Horace H. Loh, Zhou‐Feng Chen	215
9	Human opioid μ‐receptor A118G polymorphism may protect against central pruritus by epidural morphine for post‐cesarean analgesia 2010 ·Acta Anaesthesiologica Scandinavica ·Feng-Fang Tsai, Shou‐Zen Fan, (unknown), Kuo‐Liong Chien, Yun Su, Li-Kuei Chen	20
10	Optimizing Epidural Fentanyl Loading Dose for Early Labor Pain 2009 ·Acta anaesthesiologica Taiwanica ·Feng-Fang Tsai, (unknown), (unknown), Chi‐Hsiang Huang, (unknown), Li-Kuei Chen	2
11	Alteration of Capnogram as the First Sign of Pneumothorax in an Infant Who Underwent Bronchoscopy with Jet Ventilation 2009 ·Acta anaesthesiologica Taiwanica ·Feng-Fang Tsai, Kaiyu Wang, Li-Kuei Chen, Shou‐Zen Fan	1
12	Neurotoxicity of a Novel Local Anesthetic Agent, Ropivacaine: The Possible Roles of Bursts of Potential and Cytoplasmic Second Messenger 2007 ·Journal of the Formosan Medical Association ·Pei‐Lin Lin, Shou‐Zen Fan, Feng-Fang Tsai, Ming-Cheng Tsai, (unknown), Chi‐Hsiang Huang	4

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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