Akira Hatakeyama

529 citations
29 papers · 384 indexed · h-index 12
Topics
Systemic Lupus Erythematosus Research (8 papers)Monoclonal and Polyclonal Antibodies Research (8 papers)Renal Diseases and Glomerulopathies (5 papers)
Partner nations
JapanUnited States

In The Last Decade

Akira Hatakeyama

28 papers receiving 375 citations

Peers

Akira Hatakeyama
Comparison fields: 5 of 65
  • Immunology 118
  • Rheumatology 116
  • Radiology, Nuclear Medicine and Imaging 104
  • Pathology and Forensic Medicine 103
  • Genetics 68
Replace D. J. De Rooij with:
D. J. De Rooij Netherlands
Melissa Costner United States
Susan M. Koethe United States
Glass Dn United States
Vilma dos Santos Trindade Viana Brazil
Osamu Ushiyama Japan
Haraldine A. Stafford United States
Avinoam Zlotnick Israel
Sílvia Helena Rodrigues Brazil
T. Del Ross Italy
Akira Hatakeyama relative to D. J. De Rooij Netherlands D. J. De Rooij's profile →
Citations per field
00.5×
D. J. De Rooij · 1×
Citations per year

Countries citing papers authored by Akira Hatakeyama

Since Specialization
Citations

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

Fields of papers citing papers by Akira Hatakeyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akira Hatakeyama

This figure shows the co-authorship network connecting the top 25 collaborators of Akira Hatakeyama. A scholar is included among the top collaborators of Akira Hatakeyama based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Akira Hatakeyama. Akira Hatakeyama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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2 25
3 35
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Effect of targeted mutation in collagen V alpha 2 gene on development of cutaneous hyperplasia in tight skin mice.
8
5 5
6 38
7 26
8 30
9 3
10 4
11 7
12 37
13 4
14 11
15 9
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About Akira Hatakeyama

Akira Hatakeyama is a scholar working on Rheumatology, Geriatrics and Gerontology and Nephrology, having authored 29 papers that have together received 384 indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (8 papers), Monoclonal and Polyclonal Antibodies Research (8 papers) and Renal Diseases and Glomerulopathies (5 papers). The work is most often cited by research in Rheumatology (116 citations), Pathology and Forensic Medicine (103 citations) and Immunology (118 citations). Akira Hatakeyama has collaborated with scholars based in Japan and United States. Frequent co-authors include Constantin A. Bona, Kuppuswamy N. Kasturi, Robert Phelps, KAORU YOSHINAGA, Masahiko Suzuki, Tai Muryoi, Takeshi Sasaki, Chihiro Murai, S Shibata and Harry Spiera. Their work appears in journals such as The Journal of Experimental Medicine, The Journal of Immunology and Neurology.

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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