Kaiyu Jiang

1.7k citations
60 papers · 1.1k · h-index 20

Impact in

  • Hematology top 5%
    • Autoimmune and Inflammatory Disorders Research
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms

Papers in

Kaiyu Jiang

57 papers receiving 1.1k citations

Peers

Kaiyu Jiang
Comparison fields: 5 of 106
  • Hematology 268
  • Immunology 396
  • Rheumatology 174
  • Biochemistry 63
  • Pathology and Forensic Medicine 139
Replace Tomoharu Ohkawara with:
Tomoharu Ohkawara Japan
Livia Di Renzo Italy
Shivaprasad H. Venkatesha United States
Hung Nguyen United States
Pan Shen China
Alka Bhatia India
Yuko Hirose Japan
Bing Han China
Aoli Wang China
Dae‐Myung Jue South Korea
Kaiyu Jiang relative to Tomoharu Ohkawara Japan Tomoharu Ohkawara's profile →
Citations per field
00.5×4.3×
Tomoharu Ohkawara · 1×
Citations per year

Countries citing papers authored by Kaiyu Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Kaiyu Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kaiyu 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 Kaiyu Jiang Line = papers co-authored together Kaiyu Jiang 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 200366
2 200662
3 202256
4 201854
5 201545
6 200943
7 200839
8
Effects of Panax notoginseng saponins on posthypoxic cell damage of neurons in vitro.
199539
9 200938
10 201835
11 201631
12 201531
13 201330
14 201829
15 201928
16 202325
17 202124
18 200323
19 201621
20 201421

About Kaiyu Jiang

Kaiyu Jiang is a scholar working on Immunology, Molecular Biology, Hematology, Pathology and Forensic Medicine and Rheumatology, having authored 60 papers that have together received 1.1k indexed citations. Recurring topics across this work include Autoimmune and Inflammatory Disorders Research (20 papers), Lymphoma Diagnosis and Treatment (9 papers), T-cell and B-cell Immunology (5 papers), Rheumatoid Arthritis Research and Therapies (5 papers), Intracranial Aneurysms: Treatment and Complications (5 papers), Pregnancy and preeclampsia studies (5 papers), interferon and immune responses (5 papers) and Reproductive System and Pregnancy (5 papers). The work is most often cited by research in Hematology (268 citations), Immunology (396 citations), Rheumatology (174 citations), Biochemistry (63 citations) and Pathology and Forensic Medicine (139 citations). Kaiyu Jiang has collaborated with scholars based in United States, China and India. Frequent co-authors include James N. Jarvis, Yanmin Chen, Mark Barton Frank, Shiyi Ou, Jie Zheng, Caihuan Huang, Michael Centola, Juanying Ou, Carol A. Wallace and Igor Dozmorov. Their work appears in journals such as Arthritis Research & Therapy, Scientific Reports, Journal of Hazardous Materials, BMC Medical Genomics and Arthritis & Rheumatology.

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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