Akiko Kitamura

3.9k citations
98 papers · 2.9k indexed · h-index 25

Impact in

  • Hepatology top 1%
    • Liver physiology and pathology
  • Nephrology top 2%
    • Renal Diseases and Glomerulopathies

Papers in

Akiko Kitamura

91 papers receiving 2.8k citations

Peers

Akiko Kitamura
Comparison fields: 5 of 136
  • Hepatology 548
  • Nephrology 245
  • Immunology 708
  • Immunology and Allergy 127
  • Molecular Biology 1.4k
Replace Yoko Yoshida with:
Yoko Yoshida Japan
Atsushi Takayanagi Japan
Marie Lin Taiwan
Bruce C. Richardson United States
Angelo A. Ucci United States
Yinyin Li China
M. James Phillips Canada
George A. Díaz United States
Irma Dianzani Italy
Paul L. Martin United States
Akiko Kitamura relative to Yoko Yoshida Japan Yoko Yoshida's profile →
Citations per field
00.5×6.4×
Yoko Yoshida · 1×
Citations per year

Countries citing papers authored by Akiko Kitamura

Since Specialization
Citations

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

Fields of papers citing papers by Akiko Kitamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202020
2 20196
3 2014198
4 20146
5
The ARNT-STAT3 axis regulates the differentiation of intestinal intraepithelial TCR alpha beta(+) CD8 alpha alpha(+) cells
20130
6
Examination of Factors for Mother's Childrearing Insecurity with Premature Infants with Low Birthweight
20110
7 200930
8 200916
9 20098
10 20088
11 200818
12 200731
13 200616
14 20048
15 200379
16 200393
17 1997238
18 199710
19 199248
20 199194

About Akiko Kitamura

Akiko Kitamura is a scholar working on Nephrology, Immunology and Allergy, Immunology, Hepatology and Genetics, having authored 98 papers that have together received 2.9k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (10 papers), Immune Cell Function and Interaction (8 papers), Cell Adhesion Molecules Research (8 papers), Chronic Kidney Disease and Diabetes (6 papers), Renal Diseases and Glomerulopathies (6 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (5 papers), Liver physiology and pathology (4 papers) and Immunotherapy and Immune Responses (4 papers). The work is most often cited by research in Hepatology (548 citations), Nephrology (245 citations), Immunology (708 citations), Immunology and Allergy (127 citations) and Molecular Biology (1.4k citations). Akiko Kitamura has collaborated with scholars based in Japan, Jordan and United States. Frequent co-authors include Keiji Miyazawa, Koji Yasutomo, Naomi Kitamura, Takeshi Shimomura, Yoichi Maekawa, N Kitamura, Y. Morimoto, J. Kondo, Yuki Sasaki and Takaya Abe. Their work appears in journals such as Biochemical and Biophysical Research Communications, The Lancet, The Journal of Immunology, Kidney International and Scientific Reports.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026