Kaiyu Jiang

1.8k citations
60 papers · 1.2k · h-index 21

Impact in

  • Hematology top 5%
    • Autoimmune and Inflammatory Disorders Research
  • Immunology top 10%
    • Immune Cell Function and Interaction

Papers in

    • Autoimmune and Inflammatory Disorders Research 15
    • Reproductive System and Pregnancy 5

Kaiyu Jiang

58 papers receiving 1.2k citations

Peers

Kaiyu Jiang
Comparison fields: 5 of 103
  • Hematology 256
  • Immunology 267
  • Biochemistry 62
  • Rheumatology 125
  • Clinical Biochemistry 49
Replace Bing Han with:
Bing Han China
Tomoharu Ohkawara Japan
Aihua Wang China
AM Ferraris Italy
Karin Jöhrer Austria
Shivaprasad H. Venkatesha United States
Sekhar Majumdar India
Petya A Dimitrova Bulgaria
Alka Bhatia India
Pan Shen China
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Citations per field
00.5×2×4×5.4×
Bing Han · 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 200373
2 202267
3 200667
4 201859
5 200947
6 201546
7 200942
8
Effects of Panax notoginseng saponins on posthypoxic cell damage of neurons in vitro.
199541
9 200840
10 201635
11 201835
12 202333
13 201932
14 201331
15 201531
16 201830
17 202127
18 200327
19 201622
20 202122

About Kaiyu Jiang

Kaiyu Jiang is a scholar working on Hematology, Immunology, Obstetrics and Gynecology, Pathology and Forensic Medicine and Biochemistry, having authored 60 papers that have together received 1.2k indexed citations. Recurring topics across this work include Autoimmune and Inflammatory Disorders Research (15 papers), Reproductive System and Pregnancy (5 papers), Pregnancy and preeclampsia studies (5 papers), Intracranial Aneurysms: Treatment and Complications (4 papers), Lymphoma Diagnosis and Treatment (4 papers), Reproductive Physiology in Livestock (3 papers), Protein Hydrolysis and Bioactive Peptides (3 papers) and Proteins in Food Systems (3 papers). The work is most often cited by research in Hematology (256 citations), Immunology (267 citations), Biochemistry (62 citations), Rheumatology (125 citations) and Clinical Biochemistry (49 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 B Centola, Juanying Ou, Igor M. Dozmorov and Carol A. Wallace. Their work appears in journals such as Arthritis Research & Therapy, Scientific Reports, Journal of Hazardous Materials, BMC Medical Genomics and Placenta.

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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