Nai‐Wen Chi

1.8k citations
31 papers · 1.3k indexed · h-index 20
Topics
Metabolism, Diabetes, and Cancer (7 papers)Pancreatic function and diabetes (7 papers)Adipose Tissue and Metabolism (6 papers)
Partner nations
United StatesItalyNorway

In The Last Decade

Nai‐Wen Chi

30 papers receiving 1.3k citations

Peers

Nai‐Wen Chi
Comparison fields: 5 of 89
  • Molecular Biology 806
  • Physiology 284
  • Oncology 281
  • Cell Biology 192
  • Immunology 152
Replace Jaganmohan R. Jangamreddy with:
Jaganmohan R. Jangamreddy Sweden
Pawan Gulati United Kingdom
Elaine A. Dunlop United Kingdom
Hugo A. Acosta-Jaquez United States
Jean‐François Decaux France
Bryce J. W. van Denderen Australia
Ha‐Na Woo South Korea
Nunzia Pastore Italy
Iwona A. Ciechomska Poland
Valentina Caracciolo United States
Nai‐Wen Chi relative to Jaganmohan R. Jangamreddy Sweden Jaganmohan R. Jangamreddy's profile →
Citations per field
00.5×1.5×1.8×
Jaganmohan R. Jangamreddy · 1×
Citations per year

Countries citing papers authored by Nai‐Wen Chi

Since Specialization
Citations

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

Fields of papers citing papers by Nai‐Wen Chi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nai‐Wen Chi

This figure shows the co-authorship network connecting the top 25 collaborators of Nai‐Wen Chi. A scholar is included among the top collaborators of Nai‐Wen Chi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nai‐Wen Chi. Nai‐Wen Chi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 25
2 16
3 51
4 28
5 28
6 31
7 11
8 12
9 7
10 15
11 34
12 71
13 60
14 28
15 5
16 10
17 8
18 48
19 227
20
Niveles sericos de vitamina a y acido ascorbico en un grupo de mujeres durante el embarazo
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About Nai‐Wen Chi

Nai‐Wen Chi is a scholar working on Endocrine and Autonomic Systems, Physiology and Cell Biology, having authored 31 papers that have together received 1.3k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (7 papers), Pancreatic function and diabetes (7 papers) and Adipose Tissue and Metabolism (6 papers). The work is most often cited by research in Physiology (62 citations), Cell Biology (192 citations) and Molecular Biology (806 citations). Nai‐Wen Chi has collaborated with scholars based in United States, Italy and Norway. Frequent co-authors include Harvey F. Lodish, Stefan Krauß, L. Lehtiö, Juan I. Sbodio, Gautam Bandyopadhyay, Ray M. Lee, Jianhua Shao, Sushil K. Mahata, David Durrant and Liping Qiao. Their work appears in journals such as Journal of Biological Chemistry, Blood and PLoS ONE.

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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