Yi Jin

3.4k citations
84 papers · 2.6k · h-index 27

Impact in

    • Neural dynamics and brain function
    • Neuroscience and Music Perception
    • Functional Brain Connectivity Studies
    • EEG and Brain-Computer Interfaces
    • Neural and Behavioral Psychology Studies

Papers in

Yi Jin

82 papers receiving 2.5k citations

Peers

Yi Jin
Comparison fields: 5 of 127
  • Cognitive Neuroscience 759
  • Biological Psychiatry 89
  • Psychiatry and Mental health 503
  • Neurology 214
  • Cellular and Molecular Neuroscience 301
Replace José Cipolla‐Neto with:
José Cipolla‐Neto Brazil
Gemma Calamandrei Italy
Laura Ricceri Italy
Trisha A. Jenkins Australia
Maria Martha Bernardi Brazil
Maria F. M. Braga United States
Fernando Sánchez-Santed Spain
R. Luthringer France
Denis B. Rosemberg Brazil
Trond Myhrer Norway
Yi Jin relative to José Cipolla‐Neto Brazil José Cipolla‐Neto's profile →
Citations per field
00.5×2.8×
José Cipolla‐Neto · 1×
Citations per year

Countries citing papers authored by Yi Jin

Since Specialization
Citations

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

Fields of papers citing papers by Yi Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008278
2 2002163
3
Plasma clozapine concentrations predict clinical response in treatment-resistant schizophrenia.
1994152
4 1999102
5 1997101
6 200599
7 202296
8 201992
9 199688
10 200384
11 199873
12 200068
13 201463
14 201461
15 200157
16 201552
17 201552
18 201447
19 200038
20 200638

About Yi Jin

Yi Jin is a scholar working on Molecular Biology, Plant Science, Cognitive Neuroscience, Ecology and Genetics, having authored 84 papers that have together received 2.6k indexed citations. Recurring topics across this work include Neural dynamics and brain function (10 papers), EEG and Brain-Computer Interfaces (9 papers), Schizophrenia research and treatment (8 papers), Neuroscience and Music Perception (8 papers), Functional Brain Connectivity Studies (7 papers), Evolution and Genetic Dynamics (6 papers), Bacteriophages and microbial interactions (6 papers) and Gut microbiota and health (5 papers). The work is most often cited by research in Cognitive Neuroscience (759 citations), Biological Psychiatry (89 citations), Psychiatry and Mental health (503 citations), Neurology (214 citations) and Cellular and Molecular Neuroscience (301 citations). Yi Jin has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Steven G. Potkin, Curt A. Sandman, William E. Bunney, William P. Hetrick, Julie V. Patterson, Xiaoqing He, Bala Gulasekaram, Kirsten Fleming, D. Carreon and Hal S. Stern. Their work appears in journals such as Frontiers in Microbiology, Schizophrenia Research, PLoS ONE, Biological Psychiatry and Psychiatry Research.

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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