Jing Cen

543 citations
27 papers · 396 · h-index 11

Impact in

Papers in

    • Metabolism, Diabetes, and Cancer 6
    • Ion Transport and Channel Regulation 4
    • Pancreatic function and diabetes 10

Jing Cen

26 papers receiving 393 citations

Peers

Jing Cen
Comparison fields: 5 of 79
  • Endocrinology, Diabetes and Metabolism 137
  • Surgery 163
  • Physiology 84
  • Physiology 12
  • Endocrine and Autonomic Systems 17
Replace Olof Asplund with:
Olof Asplund Sweden
Julie Amyot Canada
Arvind Soni Sweden
Constanze Thienel Switzerland
D. M. Rocha Brazil
Dianne Matthews Canada
Maria Cristina Procopio Italy
Amy Fleischman United States
Aniello M. Infante United States
Cheryl A. Brighton United Kingdom
Jing Cen relative to Olof Asplund Sweden Olof Asplund's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jing Cen

Since Specialization
Citations

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

Fields of papers citing papers by Jing Cen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jing Cen, 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 Jing Cen Line = papers co-authored together Jing Cen 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 201667
2 201665
3 201643
4 202226
5 201822
6 201520
7 202117
8 202314
9 201814
10 202111
11 201811
12 202110
13 20239
14
Novel autosomal recessive gene mutations in aquaporin-2 in two Chinese congenital nephrogenic diabetes insipidus pedigrees.
20159
15 20168
16 20218
17 20217
18 20217
19 20246
20 20236

About Jing Cen

Jing Cen is a scholar working on Molecular Biology, Surgery, Immunology, Endocrinology, Diabetes and Metabolism and Pulmonary and Respiratory Medicine, having authored 27 papers that have together received 396 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (10 papers), Metabolism, Diabetes, and Cancer (6 papers), Diet, Metabolism, and Disease (4 papers), interferon and immune responses (4 papers), Electrolyte and hormonal disorders (4 papers), Ion Transport and Channel Regulation (4 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (137 citations), Surgery (163 citations), Physiology (84 citations), Physiology (12 citations) and Endocrine and Autonomic Systems (17 citations). Jing Cen has collaborated with scholars based in Sweden, China and Germany. Frequent co-authors include Peter Bergsten, Ernest Sargsyan, Anders Forslund, Hannes Manell, Iris Ciba, Nils Welsh, Johan Staaf, Hjalti Kristinsson, Levon Manukyan and Kirsten Roomp. Their work appears in journals such as Frontiers in Endocrinology, Journal of Molecular Endocrinology, Frontiers in Psychiatry, Nutrition & Metabolism and Clinical Science.

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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