Jingyi Chi

21 papers receiving 1.2k citations

Peers

Jingyi Chi
Comparison fields: 5 of 94
  • Endocrine and Autonomic Systems 154
  • Physiology 575
  • Rehabilitation 91
  • Epidemiology 376
  • Biophysics 53
Replace Danielle Tenen with:
Danielle Tenen United States
Kazuhiro Takekoshi Japan
Taizen Nakase Japan
Sevasti Zervou United Kingdom
Bharathi Aravamudan United States
Theodore P. Braun United States
Jianfeng Du United States
Chi Wai Lee Hong Kong
Xiangqi Li United States
D. Cabestrero Alonso Spain
Jingyi Chi relative to Danielle Tenen United States Danielle Tenen's profile →
Citations per field
00.5×2.9×
Danielle Tenen · 1×
Citations per year

Countries citing papers authored by Jingyi Chi

Since Specialization
Citations

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

Fields of papers citing papers by Jingyi Chi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020215
2 2018192
3 2018130
4 2019113
5 201590
6 201978
7 201866
8 202058
9 201453
10 202144
11 202431
12 202126
13 202326
14 202123
15 202020
16 201811
17 20224
18 20243
19 20202
20 20212

About Jingyi Chi

Jingyi Chi is a scholar working on Physiology, Molecular Biology, Epidemiology, Cardiology and Cardiovascular Medicine and Endocrine and Autonomic Systems, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (13 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers), Cardiovascular Disease and Adiposity (4 papers), Advanced Fluorescence Microscopy Techniques (3 papers), Circadian rhythm and melatonin (2 papers), Biochemical Analysis and Sensing Techniques (2 papers), Body Composition Measurement Techniques (1 paper) and Genetics and Neurodevelopmental Disorders (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (154 citations), Physiology (575 citations), Rehabilitation (91 citations), Epidemiology (376 citations) and Biophysics (53 citations). Jingyi Chi has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Paul Cohen, Audrey Crane, Zhuhao Wu, François Marchildon, Marc Tessier‐Lavigne, Lily L. Nguyen, Chan Hee J. Choi, Sarah E. Ackerman, Marc Schneeberger and Donald A. Morgan. Their work appears in journals such as Cell Metabolism, Nature, Molecular Metabolism, Journal of Visualized Experiments and Molecular Cell.

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