Kaname Akamata

1.6k citations
48 papers · 1.3k indexed · h-index 22
Topics
Systemic Sclerosis and Related Diseases (40 papers)Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (10 papers)Eosinophilic Disorders and Syndromes (10 papers)
Partner nations
JapanUnited StatesItaly

In The Last Decade

Kaname Akamata

48 papers receiving 1.3k citations

Peers

Kaname Akamata
Comparison fields: 5 of 77
  • Pathology and Forensic Medicine 853
  • Immunology 413
  • Molecular Biology 370
  • Dermatology 325
  • Pulmonary and Respiratory Medicine 240
Replace Katrin Palumbo‐Zerr with:
Katrin Palumbo‐Zerr Germany
Eloisa Romano Italy
Tetsuo Toyama Japan
Yohei Ichimura Japan
Takashi Yamashita Japan
Lukasz Stawski United States
Barbora Šumová Czechia
Matthias Brock Switzerland
Andreea M. Bujor United States
Nicole Reich Germany
Kaname Akamata relative to Katrin Palumbo‐Zerr Germany Katrin Palumbo‐Zerr's profile →
Citations per field
00.5×1.5×
Katrin Palumbo‐Zerr · 1×
Citations per year

Countries citing papers authored by Kaname Akamata

Since Specialization
Citations

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

Fields of papers citing papers by Kaname Akamata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaname Akamata

This figure shows the co-authorship network connecting the top 25 collaborators of Kaname Akamata. A scholar is included among the top collaborators of Kaname Akamata 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 Kaname Akamata. Kaname Akamata 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
1 10
2 65
3 3
4 20
5 77
6 10
7 109
8 44
9 34
10 14
11 20
12 12
13 22
14 9
15 15
16 35
17 12
18 17
19 19
20 52

About Kaname Akamata

Kaname Akamata is a scholar working on Pathology and Forensic Medicine, Dermatology and Rheumatology, having authored 48 papers that have together received 1.3k indexed citations. Recurring topics across this work include Systemic Sclerosis and Related Diseases (40 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (10 papers) and Eosinophilic Disorders and Syndromes (10 papers). The work is most often cited by research in Pathology and Forensic Medicine (853 citations), Dermatology (325 citations) and Immunology (413 citations). Kaname Akamata has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Yoshihide Asano, Shinichi Sato, Tetsuo Toyama, Takehiro Takahashi, Takashi Taniguchi, Yohei Ichimura, Shinji Noda, Takafumi Kadono, Makoto Sugaya and Naohiko Aozasa. Their work appears in journals such as Nature Communications, The Journal of Experimental Medicine and PLoS ONE.

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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