Junya Jia

1.2k citations
60 papers · 856 · h-index 17

Impact in

Papers in

Junya Jia

50 papers receiving 838 citations

Peers

Junya Jia
Comparison fields: 5 of 78
  • Nephrology 318
  • Endocrinology, Diabetes and Metabolism 127
  • Cardiology and Cardiovascular Medicine 140
  • Pathology and Forensic Medicine 86
  • Cancer Research 55
Replace Shan Lin with:
Shan Lin China
Lung‐Chih Li Taiwan
Cecilia Fondelli Italy
Osman Köstek Türkiye
C. Aros Chile
Cristina Gluhovschi Romania
Yoon‐Kyung Chang South Korea
Mei‐Yueh Lee Taiwan
Belinda Spoto Italy
Yu Ho Lee South Korea
Junya Jia relative to Shan Lin China Shan Lin's profile →
Citations per field
00.5×1.5×
Shan Lin · 1×
Citations per year

Countries citing papers authored by Junya Jia

Since Specialization
Citations

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

Fields of papers citing papers by Junya Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020113
2 200897
3 201376
4 201750
5 200942
6 201234
7 201333
8 201929
9 201126
10 201023
11 202122
12 201322
13 202221
14 201018
15 202017
16 201917
17 202017
18 201814
19 201714
20 201414

About Junya Jia

Junya Jia is a scholar working on Nephrology, Radiology, Nuclear Medicine and Imaging, Endocrinology, Diabetes and Metabolism, Immunology and Molecular Biology, having authored 60 papers that have together received 856 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (23 papers), MRI in cancer diagnosis (6 papers), Chronic Kidney Disease and Diabetes (4 papers), Blood Pressure and Hypertension Studies (3 papers), Diabetes Treatment and Management (3 papers), Renal and related cancers (2 papers), Hormonal Regulation and Hypertension (2 papers) and Systemic Lupus Erythematosus Research (2 papers). The work is most often cited by research in Nephrology (318 citations), Endocrinology, Diabetes and Metabolism (127 citations), Cardiology and Cardiovascular Medicine (140 citations), Pathology and Forensic Medicine (86 citations) and Cancer Research (55 citations). Junya Jia has collaborated with scholars based in China, Italy and United States. Frequent co-authors include Shan Lin, Zhenfeng Zheng, Tiekun Yan, Youxia Liu, Huilan Shi, Yaru Zhang, Guohua Ding, Pravin C. Singhal, Dong Li and Zhenyu Lu. Their work appears in journals such as BMC Nephrology, Kidney & Blood Pressure Research, Renal Failure, Journal of the Renin-Angiotensin-Aldosterone System and Journal of Cellular and Molecular Medicine.

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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