Kenneth H. Aoki

1.7k citations
15 papers · 1.4k · h-index 12

Impact in

  • Hematology top 1%
    • Erythropoietin and Anemia Treatment
  • Immunology top 10%
    • Biosimilars and Bioanalytical Methods

Papers in

    • Erythropoietin and Anemia Treatment 9
    • Blood groups and transfusion 3
    • Protein purification and stability 4
    • Viral Infectious Diseases and Gene Expression in Insects 1

Kenneth H. Aoki

15 papers receiving 1.4k citations

Peers

Kenneth H. Aoki
Comparison fields: 5 of 98
  • Hematology 607
  • Immunology 321
  • Oncology 241
  • Genetics 92
  • Radiology, Nuclear Medicine and Imaging 195
Replace Rashid Syed with:
Rashid Syed United States
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Kenneth H. Aoki relative to Rashid Syed United States Rashid Syed's profile →
Citations per field
00.5×1.5×2.0×
Rashid Syed · 1×
Citations per year

Countries citing papers authored by Kenneth H. Aoki

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth H. Aoki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kenneth H. Aoki. 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 Kenneth H. Aoki. The network helps show where Kenneth H. Aoki may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 1998474
2 1986201
3 1996169
4 1991166
5 1998147
6 199361
7 200150
8 200649
9 200139
10 200036
11 199917
12 200811
13 199710
14 20012
15
Evaluation of hyperglycosylated erythropoiesis stimulating proteins developed using glycoengineering
20061

About Kenneth H. Aoki

Kenneth H. Aoki is a scholar working on Hematology, Molecular Biology, Pulmonary and Respiratory Medicine, Immunology and Physiology, having authored 15 papers that have together received 1.4k indexed citations. Recurring topics across this work include Erythropoietin and Anemia Treatment (9 papers), Blood properties and coagulation (4 papers), Protein purification and stability (4 papers), Blood groups and transfusion (3 papers), Biosimilars and Bioanalytical Methods (3 papers), Erythrocyte Function and Pathophysiology (3 papers), Advanced Proteomics Techniques and Applications (1 paper) and Viral Infectious Diseases and Gene Expression in Insects (1 paper). The work is most often cited by research in Hematology (607 citations), Immunology (321 citations), Oncology (241 citations), Genetics (92 citations) and Radiology, Nuclear Medicine and Imaging (195 citations). Kenneth H. Aoki has collaborated with scholars based in United States, Japan and Spain. Frequent co-authors include Joan C. Egrie, Tsutomu Arakawa, Linda O. Narhi, T W Strickland, Rashid Syed, Janet C. Cheetham, John S. Philo, Jie Wen, Thomas C. Boone and Karen Sitney. Their work appears in journals such as Protein Engineering Design and Selection, Bioscience Biotechnology and Biochemistry, Photochemistry and Photobiology, Physical Review Letters and Nature.

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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