Kai Jiang

45 papers receiving 1.2k citations

Peers

Kai Jiang
Comparison fields: 5 of 108
  • Aging 31
  • Nephrology 93
  • Medical Terminology 2
  • Physiology 205
  • Psychiatry and Mental health 108
Replace Richard L. Sabina with:
Richard L. Sabina United States
Christopher B. Jackson Finland
Malin C. Erlandsson Sweden
Kevin Carnevale United States
Maria Alice Donati Italy
Margaret V. Westfall United States
Hiromi Suzuki Japan
Marco Stebel Italy
Shenghan Chen China
Davor Pavlović United Kingdom
Kai Jiang relative to Richard L. Sabina United States Richard L. Sabina's profile →
Citations per field
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Richard L. Sabina · 1×
Citations per year

Countries citing papers authored by Kai Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Kai Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998117
2 2019109
3 201392
4 202182
5 201571
6 201871
7 201970
8 201668
9 201845
10 201835
11 202031
12 201829
13 201729
14 201624
15 201721
16 201720
17 201519
18 202118
19 201518
20 201717

About Kai Jiang

Kai Jiang is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Pediatrics, Perinatology and Child Health, having authored 51 papers that have together received 1.2k indexed citations. Recurring topics across this work include MRI in cancer diagnosis (7 papers), Renal and Vascular Pathologies (6 papers), Acute Kidney Injury Research (3 papers), Animal Genetics and Reproduction (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Chronic Kidney Disease and Diabetes (2 papers), Genetic and phenotypic traits in livestock (2 papers) and Pain Mechanisms and Treatments (2 papers). The work is most often cited by research in Aging (31 citations), Nephrology (93 citations), Medical Terminology (2 citations), Physiology (205 citations) and Psychiatry and Mental health (108 citations). Kai Jiang has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Lilach O. Lerman, Christopher M. Ferguson, Xin Yu, Nicole F. Steinmetz, Amrutesh S. Puranik, Seo Rin Kim, Tamar Tchkonia, Chris A. Flask, James L. Kirkland and LaTonya J. Hickson. Their work appears in journals such as Investigative Radiology, American Journal of Physiology-Renal Physiology, Translational research, Scientific Reports and Journal of Materials Chemistry B.

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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