Jin Dai

7.9k citations
86 papers · 6.2k · 1 hit paper · h-index 35

Impact in

Papers in

Jin Dai

83 papers receiving 5.9k citations

Jin Dai's Hit Papers

Plant Phenolics: Extraction, Analysis and Their Antioxidant and Anticancer Properties 2010 · 3.2k citations
3.2k0+5+10Years since publication10002.0k3.0k

Peers

Jin Dai
Comparison fields: 5 of 150
  • Biochemistry 1.9k
  • Biological Psychiatry 211
  • Food Science 1.3k
  • Cellular and Molecular Neuroscience 931
  • Complementary and alternative medicine 400
Replace E. Sofić with:
E. Sofić Bosnia and Herzegovina
Michele Navarra Italy
Charanjit Kaur Singapore
Syed Ibrahim Rizvi India
Jeremy P. E. Spencer United Kingdom
Akitane Mori Japan
In Koo Hwang South Korea
Tatiana Emanuelli Brazil
Shoei‐Yn Lin‐Shiau Taiwan
Teruo Miyazawa Japan
Jin Dai relative to E. Sofić Bosnia and Herzegovina E. Sofić's profile →
Citations per field
00.5×
E. Sofić · 1×
Citations per year

Countries citing papers authored by Jin Dai

Since Specialization
Citations

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

Fields of papers citing papers by Jin Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jin Dai, 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 Jin Dai Line = papers co-authored together Jin Dai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Plant Phenolics: Extraction, Analysis and Their Antioxidant and Anticancer Properties
Hit paper breakdown →
20103153
2 2002175
3 2004164
4 1995153
5 2018137
6 2009126
7 2007112
8 2005111
9 201489
10 201583
11 200478
12 201577
13 201665
14 201563
15 200756
16 201654
17 200253
18 200752
19 201449
20 200549

About Jin Dai

Jin Dai is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Psychiatry and Mental health, Cancer Research and Pharmacology, having authored 86 papers that have together received 6.2k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (18 papers), Neuroscience and Neuropharmacology Research (14 papers), Receptor Mechanisms and Signaling (12 papers), Schizophrenia research and treatment (9 papers), Acute Myeloid Leukemia Research (6 papers), Angiogenesis and VEGF in Cancer (6 papers), Phytochemicals and Antioxidant Activities (6 papers) and Bipolar Disorder and Treatment (6 papers). The work is most often cited by research in Biochemistry (1.9k citations), Biological Psychiatry (211 citations), Food Science (1.3k citations), Cellular and Molecular Neuroscience (931 citations) and Complementary and alternative medicine (400 citations). Jin Dai has collaborated with scholars based in United States, China and India. Frequent co-authors include Russell J. Mumper, Herbert Y. Meltzer, Junji Ichikawa, Zhu Li, Mei Huang, Donghern Kim, Zhuo Zhang, Poyil Pratheeshkumar, Michaël Maes and Carlo Altamura. Their work appears in journals such as Brain Research, Toxicology and Applied Pharmacology, Blood, Journal of Molecular and Cellular Cardiology and European Journal of Pharmacology.

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