Mimi Tang

2.3k total citations
85 papers, 1.7k citations indexed

About

Mimi Tang is a scholar working on Biological Psychiatry, Behavioral Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Mimi Tang has authored 85 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Biological Psychiatry, 16 papers in Behavioral Neuroscience and 15 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Mimi Tang's work include Stress Responses and Cortisol (16 papers), Tryptophan and brain disorders (16 papers) and Hepatocellular Carcinoma Treatment and Prognosis (14 papers). Mimi Tang is often cited by papers focused on Stress Responses and Cortisol (16 papers), Tryptophan and brain disorders (16 papers) and Hepatocellular Carcinoma Treatment and Prognosis (14 papers). Mimi Tang collaborates with scholars based in China, United States and Czechia. Mimi Tang's co-authors include Pei Jiang, Ruili Dang, Ying Xue, Hualin Cai, LI Huan-de, Lihong Zhang, Shi‐Ting Feng, Xin He, Shuling Chen and Sui Peng and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Nutrients.

In The Last Decade

Mimi Tang

78 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mimi Tang China 25 382 314 303 300 227 85 1.7k
Per‐Göran Gillberg Sweden 31 214 0.6× 94 0.3× 109 0.4× 704 2.3× 63 0.3× 79 2.6k
Monica Ek Sweden 18 42 0.1× 115 0.4× 148 0.5× 515 1.7× 197 0.9× 21 2.0k
Jun Nakamura Japan 29 163 0.4× 38 0.1× 143 0.5× 563 1.9× 38 0.2× 127 1.8k
Yuki Kita Japan 22 24 0.1× 193 0.6× 81 0.3× 449 1.5× 71 0.3× 90 1.8k
A. Carayon France 26 193 0.5× 223 0.7× 26 0.1× 702 2.3× 39 0.2× 98 3.7k
Sun Hyung Joo South Korea 17 101 0.3× 276 0.9× 103 0.3× 1.7k 5.8× 26 0.1× 44 5.1k
William S. Brooks Australia 31 92 0.2× 267 0.9× 93 0.3× 727 2.4× 20 0.1× 61 2.7k
Hong Jiang China 27 52 0.1× 19 0.1× 170 0.6× 660 2.2× 176 0.8× 72 1.9k
Ji‐Xin Shi China 34 209 0.5× 21 0.1× 55 0.2× 823 2.7× 30 0.1× 78 2.9k
Gábor Szénási Hungary 22 77 0.2× 13 0.0× 166 0.5× 630 2.1× 168 0.7× 114 2.0k

Countries citing papers authored by Mimi Tang

Since Specialization
Citations

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

Fields of papers citing papers by Mimi Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mimi Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Mimi Tang. A scholar is included among the top collaborators of Mimi 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 Mimi Tang. Mimi Tang 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.
Li, Yuan, et al.. (2025). Losartan-associated toothache in a patient with diabetes and hypertension: a hypothesis-generating case report. Frontiers in Pharmacology. 16. 1679182–1679182.
2.
Zhou, Xiaoqi, Mimi Tang, Yuying Chen, et al.. (2025). Preoperative MRI prediction and molecular pathway study of perineural invasion in intrahepatic cholangiocarcinoma: Insights from bioinformatics approach. European Journal of Surgical Oncology. 52(1). 110546–110546.
3.
4.
Zheng, Yi, Mimi Tang, Zheng Deng, & Pei Cai. (2024). Genetic polymorphisms and platinum-induced hematological toxicity: a systematic review. Frontiers in Pharmacology. 15. 1445328–1445328. 1 indexed citations
5.
6.
Song, Chenyu, Mengqi Huang, Xiaoqi Zhou, et al.. (2023). Prediction of immunocyte infiltration and prognosis in postoperative hepatitis B virus-related hepatocellular carcinoma patients using magnetic resonance imaging. Gastroenterology report. 12. goae009–goae009. 1 indexed citations
7.
Liu, Ting, et al.. (2023). Gastric Cancer with Sarcopenia: an Area Worth Focusing On. Current Treatment Options in Oncology. 24(10). 1305–1327. 7 indexed citations
8.
Liu, Ting, et al.. (2022). Carnitine and Depression. Frontiers in Nutrition. 9. 853058–853058. 25 indexed citations
9.
Chen, Yuying, Yu Zhang, Lifei Huang, et al.. (2021). Preoperative Prediction of Cytokeratin 19 Expression for Hepatocellular Carcinoma with Deep Learning Radiomics Based on Gadoxetic Acid-Enhanced Magnetic Resonance Imaging. SHILAP Revista de lepidopterología. Volume 8. 795–808. 22 indexed citations
10.
Ge, Jie, Ting Liu, Xuan Li, et al.. (2021). Retrospective Cohort Study of Intraoperative Administration of Sustained-Release 5-Fluorouracil Implants in Advanced Gastric Cancer Patients. Frontiers in Pharmacology. 12. 659258–659258. 5 indexed citations
11.
Lu, Minhua, Bingsheng Huang, Mimi Tang, et al.. (2021). Considerable effects of imaging sequences, feature extraction, feature selection, and classifiers on radiomics-based prediction of microvascular invasion in hepatocellular carcinoma using magnetic resonance imaging. Quantitative Imaging in Medicine and Surgery. 11(5). 1836–1853. 43 indexed citations
12.
Cao, Ting, Mimi Tang, Pei Jiang, et al.. (2021). A Potential Mechanism Underlying the Therapeutic Effects of Progesterone and Allopregnanolone on Ketamine-Induced Cognitive Deficits. Frontiers in Pharmacology. 12. 612083–612083. 14 indexed citations
13.
Wang, Lu, Ying Xue, Song Cao, et al.. (2020). Sex differences in the cognitive function of first-diagnosed, drug-naïve depressed patients: An observational case-control study. Journal of Affective Disorders. 276. 461–466. 27 indexed citations
14.
Feng, Shi‐Ting, Yingmei Jia, Bing Liao, et al.. (2019). Preoperative prediction of microvascular invasion in hepatocellular cancer: a radiomics model using Gd-EOB-DTPA-enhanced MRI. European Radiology. 29(9). 4648–4659. 159 indexed citations
15.
Zhang, Mengqi, et al.. (2019). Dietary of n-3 polyunsaturated fatty acids influence neurotransmitter systems of rats exposed to unpredictable chronic mild stress. Behavioural Brain Research. 376. 112172–112172. 25 indexed citations
16.
Chen, Shuling, Shi‐Ting Feng, Jingwei Wei, et al.. (2019). Pretreatment prediction of immunoscore in hepatocellular cancer: a radiomics-based clinical model based on Gd-EOB-DTPA-enhanced MRI imaging. European Radiology. 29(8). 4177–4187. 125 indexed citations
17.
Chen, Shuling, Shi‐Ting Feng, Han Xiao, et al.. (2018). Pretreatment prediction of Immunoscore in hepatocellular cancer: a radiomics-based clinical nomogram based on Gd- EOB-DTPA enhanced-MRI. Cancer Biology and Medicine. 15. 2. 1 indexed citations
18.
Cai, Hualin, Pei Jiang, Qin‐Gang Tan, et al.. (2017). Therapeutic efficacy of atypical antipsychotic drugs by targeting multiple stress-related metabolic pathways. Translational Psychiatry. 7(5). e1130–e1130. 35 indexed citations
19.
Cai, Hualin, Qin‐Gang Tan, Pei Jiang, et al.. (2015). A potential mechanism underlying atypical antipsychotics-induced lipid disturbances. Translational Psychiatry. 5(10). e661–e661. 69 indexed citations
20.
Jiang, Pei, Ying Xue, LI Huan-de, et al.. (2014). Dysregulation of vitamin D metabolism in the brain and myocardium of rats following prolonged exposure to dexamethasone. Psychopharmacology. 231(17). 3445–3451. 36 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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