Mimi Tang

2.3k citations
85 papers · 1.7k · h-index 25

Impact in

Papers in

Mimi Tang

78 papers receiving 1.6k citations

Peers

Mimi Tang
Comparison fields: 5 of 114
  • Biological Psychiatry 303
  • Behavioral Neuroscience 227
  • Hepatology 314
  • Radiology, Nuclear Medicine and Imaging 382
  • Developmental Neuroscience 67
Replace Monica Ek with:
Monica Ek Sweden
Per‐Göran Gillberg Sweden
Yuki Kita Japan
Hong Jiang China
Gábor Szénási Hungary
Július Benický United States
Jun Nakamura Japan
Sun Hyung Joo South Korea
A. Carayon France
Ji‐Xin Shi China
Mimi Tang relative to Monica Ek Sweden Monica Ek's profile →
Citations per field
00.5×9.6×
Monica Ek · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Mimi Tang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mimi Tang Line = papers co-authored together Mimi Tang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019159
2 2019125
3 201477
4 201676
5 201774
6 201569
7 202163
8 201462
9 201447
10 202143
11 201939
12 201639
13 201436
14 202036
15 201735
16 202030
17 202129
18 202129
19 202027
20 201727

About Mimi Tang

Mimi Tang is a scholar working on Biological Psychiatry, Behavioral Neuroscience, Radiology, Nuclear Medicine and Imaging, Physiology and Hepatology, having authored 85 papers that have together received 1.7k indexed citations. Recurring topics across this work include Tryptophan and brain disorders (16 papers), Stress Responses and Cortisol (16 papers), Hepatocellular Carcinoma Treatment and Prognosis (14 papers), Radiomics and Machine Learning in Medical Imaging (12 papers), Diet and metabolism studies (12 papers), Fatty Acid Research and Health (10 papers), Vitamin D Research Studies (8 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (5 papers). The work is most often cited by research in Biological Psychiatry (303 citations), Behavioral Neuroscience (227 citations), Hepatology (314 citations), Radiology, Nuclear Medicine and Imaging (382 citations) and Developmental Neuroscience (67 citations). Mimi Tang has collaborated with scholars based in China, United States and Czechia. Frequent 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. Their work appears in journals such as Frontiers in Pharmacology, European Radiology, Journal of Affective Disorders, Behavioural Brain Research and Frontiers in Nutrition.

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.

Explore authors with similar magnitude of impact