Yang Jin

26 papers receiving 1.5k citations

Yang Jin's Hit Papers

Changes in the global burden of depression from 1990 to 2017: Findings from the Global Burden of Disease study 2019 · 972 citations
9720+2+4Years since publication250500750

Peers

Yang Jin
Comparison fields: 5 of 122
  • Biological Psychiatry 109
  • Behavioral Neuroscience 52
  • Applied Psychology 54
  • Cancer Research 132
  • Experimental and Cognitive Psychology 112
Replace Yong Jia with:
Yong Jia China
Mei Bai China
Jennifer L. Steiner United States
Michael J. Goodheart United States
Lisa M. Thornton United States
Anand Dhruva United States
Qi Wei United States
Rashmi Patel United Kingdom
Sharon Lynch United States
Esa Leppänen Finland
Yang Jin relative to Yong Jia China Yong Jia's profile →
Citations per field
00.5×4.2×
Yong Jia · 1×
Citations per year

Countries citing papers authored by Yang Jin

Since Specialization
Citations

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

Fields of papers citing papers by Yang Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Changes in the global burden of depression from 1990 to 2017: Findings from the Global Burden of Disease study
Hit paper breakdown →
2019972
2 201799
3 201764
4 201658
5 201750
6 201744
7 201635
8 200433
9 200632
10
An Overview of Research on Electronic Medical Record Oriented Named Entity Recognition and Entity Relation Extraction
201430
11 202017
12 201617
13 201910
14 20259
15 20197
16 20215
17
[Diffusion weighted imaging combined with magnetic resonance conventional sequences for the diagnosis of rectal cancer].
20094
18 20243
19 20213
20
Identifying and extracting malignancy types in cancer literature
20072

About Yang Jin

Yang Jin is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Surgery, having authored 27 papers that have together received 1.5k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (4 papers), Automotive and Human Injury Biomechanics (3 papers), Transportation Safety and Impact Analysis (3 papers), Topic Modeling (3 papers), Membrane Separation Technologies (2 papers), Energy Load and Power Forecasting (2 papers), Breast Cancer Treatment Studies (2 papers) and Graphene research and applications (2 papers). The work is most often cited by research in Biological Psychiatry (109 citations), Behavioral Neuroscience (52 citations), Applied Psychology (54 citations), Cancer Research (132 citations) and Experimental and Cognitive Psychology (112 citations). Yang Jin has collaborated with scholars based in China and United States. Frequent co-authors include Hairong He, Jun Lyu, Qingqing Liu, Xiaojie Feng, Fanfan Zhao, Jiao Yang, Meng Lv, Yanwei Shen, Shuting Li and Mengying Wang. Their work appears in journals such as Oncotarget, International Journal of Vehicle Design, Clinical Cancer Research, PLoS ONE and RSC Advances.

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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