Chen Mi

1.2k citations
63 papers · 931 · h-index 16

Impact in

Papers in

Chen Mi

55 papers receiving 916 citations

Peers

Chen Mi
Comparison fields: 5 of 111
  • Cancer Research 237
  • Obstetrics and Gynecology 47
  • Reproductive Medicine 50
  • Computer Networks and Communications 133
  • Pharmacology 38
Replace Jiabin Chen with:
Jiabin Chen China
Junqiu Yue China
Qiao Zhang China
Jing Cao China
Shun Zhang China
Piergiovanni Grigolato Italy
Prabhakar Chalise United States
Matthew R. Russell United Kingdom
Morten Ladekarl Denmark
Ning Wu China
Chen Mi relative to Jiabin Chen China Jiabin Chen's profile →
Citations per field
00.5×10×20×30×44.3×
Jiabin Chen · 1×
Citations per year

Countries citing papers authored by Chen Mi

Since Specialization
Citations

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

Fields of papers citing papers by Chen Mi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009157
2 2018111
3 2008101
4 201876
5 201468
6
Diagnoses of HIV infection in the United States and dependent areas (updated), 2018
202032
7 201830
8 201927
9 201626
10 201624
11 201523
12 202023
13 200719
14 201719
15 201419
16 202016
17 201414
18 202114
19 202114
20 201410

About Chen Mi

Chen Mi is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Molecular Biology, Epidemiology and Cancer Research, having authored 63 papers that have together received 931 indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (12 papers), Infective Endocarditis Diagnosis and Management (7 papers), Cancer-related molecular mechanisms research (6 papers), Pain Mechanisms and Treatments (3 papers), Atrial Fibrillation Management and Outcomes (3 papers), Gastric Cancer Management and Outcomes (3 papers), Circular RNAs in diseases (3 papers) and Cardiovascular Function and Risk Factors (3 papers). The work is most often cited by research in Cancer Research (237 citations), Obstetrics and Gynecology (47 citations), Reproductive Medicine (50 citations), Computer Networks and Communications (133 citations) and Pharmacology (38 citations). Chen Mi has collaborated with scholars based in China, Switzerland and United States. Frequent co-authors include Ji Fang, He Liu, Geoffrey M. Voelker, Kun Tan, Wei Wang, Jian-Song Zhang, Yarui Li, Shuixiang He, Mudan Ren and Yan Zhao. Their work appears in journals such as JACC: Cardiovascular Interventions, Medicine, Cell Death and Disease, Developmental Neuroscience and Journal of Clinical Biochemistry and 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.

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